development of product life-cycle cost analysis

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DEVELOPMENT OF PRODUCT LIFE-CYCLE COST ANALYSIS TOOL AHMED YUSSUF HUSSEIN A project report submitted in partial fulfillment of the requirements for the award of the degree of Master of Engineering (Mechanical - Advanced Manufacturing Technology) Faculty of Mechanical Engineering Universiti Teknologi Malaysia April, 2008

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Page 1: DEVELOPMENT OF PRODUCT LIFE-CYCLE COST ANALYSIS

DEVELOPMENT OF PRODUCT LIFE-CYCLE COST ANALYSIS TOOL

AHMED YUSSUF HUSSEIN

A project report submitted in partial fulfillment

of the requirements for the award of the degree of

Master of Engineering (Mechanical - Advanced Manufacturing Technology)

Faculty of Mechanical Engineering

Universiti Teknologi Malaysia

April, 2008

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To my beloved family

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ACKNOWLEGDEMENT

In the Name of Allah, the Most Beneficent, the Most Merciful. All praise and

thanks to Allah, lord of the universe and all that exists. Prayers and peace be upon His

prophet Mohammed, the last messenger for all humankind.

First, I would like to express my sincere gratitude and thanks to ALLAH. I am

deeply thankful to my parents for their continuous support and love throughout my study.

It is difficult to mention one person before the other. However, I undoubtedly

owe much to my project supervisor, Professor Dr. Awaluddin Mohamad Shaharoun, for

his condescending guidance and encouragement, intuitive suggestions and endless

endurance throughout the project. I am also highly indebted to my co-supervisors, Dr.

Muhammad Zameri Bin Mat Zaman, for his guidance, advices and motivation without his

continued support and interest, this thesis would not have been successful.

I would like to take this opportunity to express my sincere appreciation to Islamic

Development Bank (IDB) for giving me the scholarship opportunity. This scholarship

was of great assistance to me in my goal of attaining a masters degree. Also I would like

to thank my friends, colleagues and staff for enjoyable and enlightening period in UTM.

Many people contributed to this work, either directly or indirectly. Thanking

every one by name would take many pages. Therefore, for the people I did not mention in

this acknowledgment, from my heart ‘THANK YOU’.

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ABSTRACT

The main purpose of this project was to develop a life cycle cost analysis (LCCA)

tool which can be used by small and medium sized enterprises (SMEs) for the decision

making process when comparing different alternatives of their products. The tool is

expected to assist designers in making choices regarding the definition of product

characteristics, integrating a series of analysis, calculation, and decision-making tools in

the most appropriate manner in order to compare different alternatives of their product.

LCCA appears to be a useful approach to a comprehensive assessment of economic,

environmental and social impacts of the life cycle of a product and aids SMEs to meet

environmental requirements adopted in nations around the world. The tool plays a

primary role in this specific context due to the fact that not only production costs, but also

those costs incurred during use and disposal are greatly conditioned by the initial design

choices. Due to the differences exist in the cost structure of different products under

evaluation, it is difficult to generalize the model; However, by making some modification

to cost categories and by following the general LCCA framework developed, it is

possible to match the model to any application desired. The model is simplified for usage

in the form of ExcelTM in such away that the analyst can easily input data into tables and

generate outputs using Excel Charts. The decision is made based on the alternative with

lowest life cycle cost.

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ABSTRAK

Tujuan utama projek ini adalah bagi membina “life cycle cost analysis (LCCA) ”

kitar hidup analisis kos sebagi alat yang boleh digunakan oleh syarikat berskala kecil dan

sederhana, bagi membantu prosess membuat keputusan apabila perbandingan alternatif

terhadap penghasilan produk dilakukan. Alat ini dijangka dapat membantu jurutera di

dalam membuat pilihan berdasarkan definasi ciri produk, integrasi bebarapa siri analisa,

pengiraan dan alat pembuat keputusan dalam keadaan tersusun bagi membolehkan

pelbagai alternatif penghasilan produk dibandingkan. LCCA merupakan pendekatan yang

amat berguna dalam membuat penilaian menyeluruh terhadap ekonomi, alam sekitar dan

impak sosial terhadap kitar hidup produk serta membantu perusahaan kecil sederhana

bagi memenuhi kehendak alam sekitar yang telah diterima pakai di seluruh dunia. Alat ini

digunakan secara spesifik bukan hanya kos produksi malah kos yang terhasil daripada

penggunaan dan pelupusan dijana dengan menyeluruh pada pemulaan pemilihan

“design”. Oleh kerana wujud perbezaaan dalam struktur kos produk dibawah penilaian/

pembuatan ianya amat sukar untuk mengeneralisasi model tersebut. Walaubagaimanapun

melalui beberapa modifikasi dalam kategori kos dan melalui generalisasi rangka kerja

LCCA ianya membolehkan model tersebut disuaikan dengan aplikasi yang dikehendaki.

Model tersebut dipermudahkan penggunaannya dalam bentuk ExcelTM dimana input data

dimasukkan dengan mudah dan output dapat diterbitkan menggunakan carta Excel.

Seterusnya pemilihan dibuat berdasarkan alternatif yang memiliki nilaian semasa

terendah berdasarkan kitar hidupkos.

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TABLE OF CONTENTS

CHAPTER TITILE PAGE

DECLARATION ii

DEDICATION iii

ACKNOWLEDGEMENT iv

ABSTRACT v

ABSTRAK vi

TABLE OF CONTENTS vii

LIST OF TABLES x

LIST OF FIGURES xi

LIST OF ABBREVIATIONS xii

1 INTRODUCTION 1

1.1 Background 1

1.2 Problem Statement 3

1.3 Objectives 5

1.4 Scope 5

1.5 Significance of study 6

1.6 Structure of the thesis 8

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2 LITERATURE REVIEW 10

2.1 Introduction 10

2.2 Cost analysis and the life cycle approach 11

2.3 Life Cycle Costing (LCC) 14

2.4 Product Life Cycle Cost Analysis 17

2.5 Review of LCCA models 18

2.6 Summary 24

3 METHODOLOGY 25

3.1 Introduction 25

3.2 General framework for LCCA 27

3.3 Preliminary Definitions 29

3.3.1 Definition of the problem 29

3.3.2 Identification of Feasible Alternatives 30

3.3.3 Development of Cost Breakdown Structure - (CBS) 30

3.4 Cost Valuation 31

3.4.1 Selection of cost model 31

3.4.2 Development of cost estimates 32

3.4.3 Development of Cost profiles 32

3.5 Result Analysis 34

3.5.1 Identification of high cost contributors 35

3.5.2 Accomplishment of sensitivity analysis 35

3.6 Decision making 36

3.7 Summary 36

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4 MODEL DEVELOPMENT 38

4.1 LCCA model 38

4.2 Cost breakdown structure – CBS 39

4.3 Cost Estimating 42

4.3.1 Total Product Cost (TC) 42

4.3.1.1 Research and development cost - CR 43

4.3.1.2 Production and construction cost - CP 47

4.3.1.3 Operation and support cost - CO 51

4.3.1.4 Retirement and disposal cost - CD 58

4.4 Software development 61

4.4.1 Model input 61

4.4.2 Evaluation of alternatives 64

4.4.3 High cost contributors 64

4.4.4 Sensitivity analysis 65

4.4.5 Application of LCCA model in automotive industry 65

4.4.5.1 Cost contribution 68

4.4.5.2 Evaluation of the two alternatives 69

4.4.5.3 Cost profiles 71

4.4.5.4 Decision making 72

4.4.5.5 Sensitivity analysis using scenario manager 73

4.4.6 Summary 74

5 DISCUSSION 75

6 CONCLUSIONS AND OPPORTUNITY FOR FURTHER STUDY 81

REFRENCES 84

APPENDIX A – INTEREST FACTOR TABLES 88-91

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LIST OF TABLES

TABLE NO. TITLE PAGE

2.1 Comparison of life cycle cost models 21

4.1 Cost breakdown structure - CBS 57

4.2 Evaluation of alternatives 58

4.3 Percentage of cost contribution 59

4.4 Sensitivity analysis 61

4.5 Cost breakdown structure of the two configurations 63

4.6 Evaluation of alternatives 66

4.7 Scenario summary 70

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LIST OF FIGURES

FIGURE NO. TITLE PAGE

1.1 Life cycle cost in various stages of product development 6

2.1 Product life cycle stages (marketing perspective) 11

2.2 Perception of life cycle: producer vs. consumer 12

2.4 Costs in product life cycle stages 17

3.1 Framework for life cycle cost analysis 25

4.1 Life cycle cost model configuration 37

4.2 Cost breakdown structure – CBS 39

4.3 Percentage of cost contribution 65

4.4 Development of life cycle cost profiles 68

4.5 Cost profiles of the two designs 69

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LIST OF ABBREVIATION

LCM - Life Cycle Management

LCCA - Life Cycle Cost Analysis

LCC - Life Cycle Costing

SMEs - Small and Medium Sized Enterprises

DFE - Design for Environment

ANN - Artificial Neural Network

ABC - Activity Based Costing

TCA - Total Cost Assessment

PLCCA - Product Life Cycle Cost Analysis

LCA - Life Cycle Assessment

CBS - Cost Breakdown Structure

TC - Total Cost

CR - Research and Development Cost

CP - Production and Construction Cost

CO - Operation and Maintenance Cost

CD - Retirement and Disposal Cost

ExcelTM - Excel Template

PV - Present Value

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CHAPTER 1

INTRODUCTION

1.1 Background

Lack of environmental awareness has led us to mistakenly consider ourselves to

be outside the global ecosystem and, consequently, to satisfy our needs according to the

sole criterion of “the greatest efficiency at the lowest cost.” the resulting environmental

crises has shown how the eco-system has been seriously degraded by the use of modern

means of production, conceived without concern for either the environment or the

balanced use of resources. Above all, the widespread idea that profit and respect for the

environment are incompatible (a dangerous prejudice delaying a processes of recovery

that can no longer be postponed) is based on an inadequate vision of the problem

(Günther, 2007).

Any costs avoided by a production system in neglecting environmental issues will

fall, redoubled, onto the community. Clearly, industry must respect the elementary

condition of earning more than it spends, but it is crucial that profit is made while

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reducing environmental impacts to a minimum. This has increased the need for

sustainable development.

The main influencing factors include an expanding regulatory framework and

more stringent environmental protection standards. However, if a better match between

the corporate behavior and the principles of sustainable development is to be

achieved, businesses themselves will have to be active in seeking ways of

meeting social, environmental and economic objectives (Labuschange, 2005).

Manufacturers will have to assume a larger degree of responsibility for activities

related to the life cycle of their products after the purchasing and installation stage

(Westkaempfer, 2000).

Life cycle management (LCM) is an approach supporting sustainable

development and the most efficient possible use of resources. Based on the life cycle

concept the costs and benefits of strategic aims and choices can be understood and

justified in a comprehensive manner. LCM covers the entire life cycle of a product

with a view to maximizing value along the life cycle while meeting cost and

environmental requirements. Integral components of this value are, for example,

reliability, costs, manufacturability, operational capacity, usefulness, usability,

recycling capacity and other environmental aspects (Prasad, 1999).

One important part of LCM is life cycle cost analysis (LCCA). The objective of

this analysis is to optimize the manufacturing, maintenance and operation of a

product (e.g. manufacturing equipment) for the period of its usability based on

establishing all the important cost items over this period.

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This facilitates a quantified assessment of various product design alternatives,

comparison of cost items at various stages of the product life cycle and comparison

between the stages with a view to choosing the optimal alternative.

The cost items monitored include all costs incurred in relation to

manufacturing of a product until its disposal at the end of its life cycle. The items

should be structured so as to allow for identification of potential links between

various items with a view to establishing optimal life cycle costs. The structure of

cost items will always depend on the nature of the product and it should always

facilitate life cycle cost analysis. The purpose of estimating cost links is to express

cost items as a function of one or more independent variables. The final stage of the

calculation process is determination of a method for formulating life cycle costs.

Some would say that LCCA is to help engineers “think like MBAs but act like

engineers.” That is true, but LCCA is broader in sense. According to Emblemsvag

(2003), the main purpose of LCCA is to help organizations apply knowledge about past

performance and their gut feelings to future issues of costs and risks. This is done not

in the traditional sense of budgeting, but in meaningful predictions about future costs of

products, process, and their associated risks.

1.2 Statement of The Problem

The pressure for implementation of principles of sustainable development in

corporate decision-making processes is increasing continuously. Other aspects

concerning product life cycle management are also subject to this pressure.

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Life cycle cost analysis appears to be a useful approach to a comprehensive

assessment of economic, environmental and social impacts of the life cycle of a

product. It is necessary to realize the importance of costs throughout the full life

cycle of a product in order to adopt measures to optimize the product value in relation to

the financial resources used. Literature also increasingly emphasizes that rapid

technological change and shortened life cycles have made product life cycle cost analysis

critical to organizations (Ray and Schlie, 1993; Barfield et al., 1994; Murthy and

Blischke, 2000).

Despite this growing awareness of aspects related to LCCA, the use of this

method in Small & Medium-Sized Enterprises (SMEs) is still insufficient. There are a

number of reasons for the generally lower level of acceptance of the life cycle costing

methods. One of the major reasons is lack of motivation resulting, above all, from

insufficient trust in the outcomes and achievements of the methodology.

Therefore, it is important to overcome the current situation where preference

is given to assessing products based on manufacturing costs, and to short-term

effects, where the link between manufacturing and future costs is ignored and where

there is a lack of knowledge of the LCCA methods and their use.

This study will focus on the development of a user-friendly product life-

cycle cost analysis tool that will include all identifiable cost categories of product from

conception until disposal. The tool in the form of software is expected to assist SMEs

carry out LCCA in their product/process decision-making. With the help of this tool,

designers can substantially reduce the life-cycle cost of products by giving due

consideration to life-cycle implications of their design decisions. In this role, LCCA

becomes an operational instrument used to implement one of the basic strategies for

achieving sustainable development, the integrating economic and environmental

considerations in to the decision-making process (WCED, 1987).

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1.3 Objectives of the study

The primary objective is to develop a life-cycle cost analysis (LCCA) tool that

can assist designers in making choices regarding the definition of product characteristics,

integrating a series of analysis, calculation, and decision-making tools in the most

appropriate manner in order to compare different alternatives of their product.

A secondary objective is to simplify the usage of the tool in the form of simple

software so that minor modifications of the model can lead to many other applications.

1.4 Scope of the study

The project surveys several LCCA methodologies, product design considerations

until disposal are surveyed and a framework for the development of LCCA process is

developed, and to validate this framework in actual practice, simple software is

developed to enable different decisions to be considered with respect to their effect in the

life-cycle costing.

The purpose of the tool is to enable different design configurations (different

materials, different design, and different processes) to be compared not only from an

environmental compliance view but also from a cost perspective. The tool offers support

in the decision-making process at the early phases of the design process. The inclusion of

cost permits more informed business decisions and considerations to be undertaken by

the designer.

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1.5 Significance of the study

The importance of estimating and controlling costs during the design process,

with the aim of limiting the cost of producing a product, is now considered and

ineluctable factor in the development of an efficient product. Such products are able to

respond to a market demanding high standards of quality and ever-shorter development

times combined with contained costs (Weustink et al., 2000).

LCCA plays a primary role in this specific context due to the fact that not only

production costs, but also those costs incurred during use and disposal are greatly

conditioned by the initial design choices. By some assessments, more than half of the

total cost of a product’s life-cycle is determined by the concept design phase alone

(Fabrycky and Blanchard, 1991), and up to 85% can be considered fixed by the end of the

completed design phase (Dowlatshahi, 1992), although only a limited fraction of this cost

will have actually been spent on these phases of the development process.

The field of application of LCCA is particularly wide and includes evaluation and

comparison of alternative designs; assessment of economic viability of projects and

products; identification of cost drivers; and cost effective improvements; evaluation and

comparison of different approaches for replacement, rehabilitation, life extension, and

disposal; optimal allocation of available funds to activities in a process of product

development; and long term financial planning.

Figure 1.1 highlights an important paradox – the effectiveness of design choices

in controlling the costs of the life-cycle is greatest in the design preliminary phases of

product development, and decreases as the design level evolves. On the other hand, the

possibility of establishing a relation between design choices and costs is lower in the

preliminary phases of product development, and increases as the design as the design

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level evolves. This is a direct consequence of how adequate knowledge and information

about the design problem and the product under development is the end of the design

process.

Figure 1.1 Life Cycle Cost in various stages of product development

With this premises, LCCA becomes the assessment of all costs associated with

the life-cycle of a product “that are directly covered by the any one or more of the actors

in the product life-cycle (supplier, producer, user/consumer, end-of-life actors), with

complimentary inclusion of externalities that are anticipated to be internalized in the

decision-relevant future” (Hunkeler and Rebitzer, 2003).

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1.6 Structure of the thesis

This thesis is structured into six main chapters. Chapter 1 introduces the concept

of LCCA, problem statement, significance of study, scope and main objectives of this

project. Chapter 2 emphasis mainly on literature review regarding LCCA, application of

LCCA in product development, manufacturing cost strategies, and different LCCA

models. Chapter 3 defines the methodological framework of LCCA, chapter 4

emphasizes the development of analytical LCCA model and software development,

chapter 5 focuses on discussions related to the application of LCCA, and finally chapter 6

is conclusion and opportunities for further study.

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CHAPTER 2

LITERATURE REVIEW

2.1 Introduction

A thorough review of existing literature on a given subject matter creates a firm

foundation for advancing knowledge by identifying the areas where a plethora of research

already exists, while also uncovering areas where research is needed (Webster and

Watson, 2002). Hence, a systematic review of literature was conducted to obtain sources

pertaining to life-cycle costing and methods of LCCA. Details of what has been done on

the subject of LCCA will be discussed throughout this chapter.

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2.2 Cost Analysis and The Life-Cycle Approach

Cost analysis and assessment are two of the principle factors guiding the process

of product development, since they strictly condition the main decisional choices in a

clear-cut manner. From the earliest theorizing on design intervention, it has been

emphasized how the economic worthwhileness of a proposal (i.e., the property of making

the final product acquire sufficient value to repay the expenditure incurred in the

production phase) is one of the most rigid selection criteria (Asimow, 1962).

On entering the market, a product manufactured through processes of

transforming the resources employed must have increased in value such that it can be

produced and commercialized. From the earliest initial phases of needs analysis and their

translation into product concept, the design team must assess at least two different

typologies of economic validity, according to whether the viewpoint is that of the

manufacturer or of the consumer of the product.

Describing the product life-cycle may appear to be rather elementary; however,

experience has indicated that many different interpretations of “what constitutes the life

cycle” may exist (Blanchard, 1978). The interpretation of life-cycle of a product depends

on the perspective of the decision-maker. From the marketing perspective, the life-cycle

consists of four stages (introduction, growth, maturity, and decline) which are shown in

figure 2.1.

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Figure 2.1 Product life cycle stages (Marketing Perspective)

Figure 2.2 shows two different perceptions of producer and consumer. for a

manufacturer thinking in terms of production perspective, the life-cycle consists of five

stages (production conception, design, product and process development, production, and

logistics), on the other hand, when the product reaches the end-user (consumer

perspective), the life-cycle consists of five stages (purchase, operating, support,

maintenance, and Disposal) (Emblemsvag, 2003).

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The producer directly acquires the necessary raw materials, and workforce on the

open market, transforms them into product, and introduces the product onto the market.

By evaluating the costs of development, production, and distribution, and comparing

them with the market value of the product, it is possible to accurately quantify its

economic validity. Even more complex is the case where environmental performance

becomes one of the factors in play, the environmental performance of a product must be

evaluated over its entire life-cycle and is influenced by the interaction between the actors

involved.

The evaluation of economic efficiency from consumer’s view point is much more

complex and subjective. In fact, it depends not only on the cost of the product on the

market but also on the level of efficacy with which the product satisfies the needs that

generated it. Clearly, this kind of value is subjective in that it cannot be measured by the

market, but depends on the perceptions of the customer.

The most common economic models used in product design and development

originated in relation to the first necessity, that of assessing the economic validity of a

commodity during its definition and development; their primary aim is, therefore, to

evaluate the production costs corresponding to different design alternatives (Dieter, 2000;

Ulrich and Eppinger, 2000). These models are part of that approach to product analysis

which, developed in relation to the interests of the manufacturer, generally stop at

distribution without taking into consideration successive phases of the life cycle. In this

case, the life cycle is understood as the set of phases consisting of development,

production, and distribution, at most going so far as to consider product support services.

The assessment of product value as perceived by the consumer requires different

models that are able to relate the functionality of a product with its cost, in a way that

quantifies its capacity to meet the performance required per unit cost. This is the concept

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at the base of value engineering, a customer-oriented approach to the whole design

process formulated according to a view of the life cycle extended, of necessity, to include

the phase of product use (Ullman, 2003)

2.3 Life-Cycle Costing (LCC)

The first extension of cost analysis beyond the production phase dates back to

mid-1960s, when the term “Life-Cycle Costing” was first coined (LMI, 1965). In its

original form, the analysis of life-cycle costs was heavily conditioned by the context in

which it was developed, that of defense procurement (i.e., the planning and acquisition of

large pieces of military equipment and material characterized by their great expense and

particularly long useful life) (kinch, 1992). This area is particularly susceptible to the

problem of establishing the right balance between the cost of acquisition and the cost of

utilization, considering that the latter, consisting of operating and maintenance costs, is

usually much greater than the former; Figure 2.3 explains this issue.

Under this stimulus, life cycle costing (LCC) become widely used to evaluate the

advantage of developing and purchasing this particular type of material, which is

expensive and must be kept at maximum efficiency for a long period. It was, therefore,

understood as a technique for evaluating the comprehensive cost of a commodity – i.e.,

the sum of cost of purchase) (procurement cost) and operation (ownership cost) (Dhillon,

1989), where the latter includes all the costs incurred during the useful life of the

commodity itself.

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In the mid-1970s the technique of LCC also known as “Life Cycle Cost Analysis

(LCCA)”, by then well-accepted in the field of military procurement, began to spread

into the more general arena of industrial activity (Harvey, 1976). Thus the concept of

“product life-cycle” began to take form also in the context of economic analysis, and it

was immediately extended; the category of procurement cost was enlarged to include the

phases of research and development, evaluation and choice of solutions, and product

support. The category of ownership costs, in some cases, went so far as also include the

cost of disposal.

Figure 2.3 Cost of acquisition and utilization.

Therefore, there was a maturation of a “life-cycle thinking” approach, understood

as “a decision-making framework that encompasses the identification of all the revenues

and costs associated with a product or service as it moves time-wise through predictable

stages and phases of evolution” (shewchuk, 1992).

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There is no exact definition that has been agreed upon for LCC, this is mainly

due to different interpretations of what constitutes the life-cycle of the product; however,

the concept of LCC can be comprehended from the following definitions ;

"The life cycle cost of an item is the sum of all funds expended in support of the item from

its conception and fabrication through its operation to the end of its useful life, (White

and Ostwald, 1976, pg. 39)”.

Further definition by several researchers states that life-cycle costs comprise all

costs attributable to a product from conception to those customers incur throughout the

life of the product, including the costs of installation, operation, support, maintenance and

disposal (Shields and Young, 1991; Shank and Govindarajan, 1992; Artto, 1994; Barfield

et al., 1994; Foster and Gupta, 1994).

Asiedu and Gu (1998), defined LCCA as a framework for specifying the

estimated total incremental cost of developing, producing, using, and retiring a particular

item”. Another definition by Fabrycky and Blanchard (1991) States that Life cycles

costing (LCC) or life cycle cost analyses (LCCA) are the methodologies used to evaluate

all the costs associated with a product over its entire life cycle.

In light of the above definitions, Life Cycle Cost Analysis (LCCA) can be thought

as a technique to establish the total cost of product or systems from early design until

disposal. It is a structured approach which addresses all the elements of this cost and can

be used to produce a spend profile of the product over its anticipated life-span. The

results of an LCCA can be used to assist management in the decision-making process

when there is a choice of product.

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2.4 Product Life-Cycle Cost Analysis

Many traditional product designers make their design decisions based on a

product’s technical and functional features. From the designer’s point of view the most

important criteria for products are quality, durability, performance and conformance with

the customer’s specifications (Tomberg et al., 2002). Recently, additional criteria have

become important in the decision-making process at the design stage; for example, most

of the developed countries have set new legislations which are planned to require

manufacturers to recover and recycle their products after its useful time.

Therefore, designers can substantially reduce the life-cycle cost of a product by

giving due consideration to life-cycle implications of their design decisions. The

estimation of the costs early in the design stage is important because they represent a

competitive factor, a differentiation in selecting a product.

Studies reported by many researchers in design suggest that the design of the

product influences between 70% and 85% of the total cost of a product Dowlatshahi

(1992). This is because design decisions that are made prior to manufacturing implicitly

define the majority of costs (Asiedu and Gu, 1998), as shown in Figure 2.4.

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Figure 2.4 Costs in Product life cycle stages

In this context, the economic competitiveness can only be achieved through the

life-cycle approach, and only by including the costs of the entire life-cycle among the

parameters of the design process it is possible to achieve an effective design for economic

feasibility (Fabrycky and Blanchard, 1991).

2.5 Review of LCCA models

The choice of cost model for the calculation of costs is fundamental to the entire

life cycle costing procedure. The model consists of a set of assumptions, rules, equations,

constants, and variables defining the mechanism of the system of monetary flows to be

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examined. Given the proliferation of models for LCCA developed with the objective of

fully integrating cost analysis into product design, the literature contains complete studies

that provide an overview of the state of the art as well as comparative information about

characteristics and limitations of the various approaches (Asiedu and Gu, 1998; Kumaran

et al., 2001).

Most LCCA models are structured along three general lines: conceptual,

analytical, and heuristic (Kolarik, 1980; Gupta, 1983). Conceptual models consist of a set

of hypothesized relationships expressed in a qualitative framework. They are generally

very flexible, and can accommodate a wide range of systems. They require a minimum of

details and require little ability to quantify a system’s cost characteristics. Conceptual

models are limited when they come to analyses (Kolarik, 1980).

Analytical models are usually based on mathematical relationships which are

designed to describe a certain aspect of a system/product under certain

conditions/assumptions. These assumptions tend to restrict or limit the model’s ability to

reflect the actual system’s performance. Heuristic models are ill-structured analytical

models, usually employing an approach which produces a feasible and sufficient solution,

but does not guarantee that the solution is optimal (Gupta, 1983).

Complete and general procedures for LCCA began to be introduced from the

early 1990s (Greene and Shaw, 1990; Fabrycky and Blanchard, 1991). Over the past

decade the development of LCCA models has continued, providing a wide variety of

models, both a specific type (i.e., developed in relation to the need to evaluate the costs of

specific systems) and those of a more general nature (Dhillon, 1989).

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19

Some refer to particular fields of application e.g., the design of production

systems (Dahlen and Bolmsjo, 1996; Westkamper and von der Osten-sacken, 1998).

Others were developed to aid cost analysis expressly in the design phase, but taking into

consideration specific activities of a product’s life-cycle such as manufacturing

(Boothroyd, 1994), servicing (Gershenson and Ishii, 1993), purchasing and procurement

(Woodward, 1997), or retirement (Navin-Chandra, 1993; Ishii et al., 1994).

A model based on activity-based costing by Dimache et al. (2007) combines both

product and process aspects which are necessary for calculation. Finally the cost model is

integrated as a module within the DFE (Design for Environment) workbench software

tool. Alongside these models, an approximate LCCA method have been developed, an

approximate model based on Artificial Neural Network (ANN) for cost estimating has

been developed by Seo et al (2002).

Comparisons of the existing LCCA models conducted by Kumaran et al (2001)

demonstrate that no one of the existing LCCA methodologies addresses the

environmental costs of the environmental burdens caused by the product/service in its

entire life cycle, in the calculation of the total cost of the product/service.

Table 2.1 illustrates this fact while main emphasis has been given to features that

are related to eco-friendly design and manufacturing concept. The grades awarded in this

comparison are defined on the basis of the description and efficacy of a feature in a

particular model, and also the relative comparison with the same feature in the other

models. Grade ``A’’ or ``NA’’ denotes the availability of any feature. The most efficient

feature is awarded an ``E’’ grade and an optimally efficient feature is awarded a ``G’’

grade.

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20

The allocation of grades purely reflects the authors’ own view on the basis of their

review. More emphasis has been given to features that are related to eco-friendly design

and manufacturing concept. The models reviewed are:

(1) LCCA model of Fabrycky and Blanchard (1991);

(2) LCCA model of Woodward (1997);

(3) LCCA model of Dahlen and Bolmsjo (1996);

(4) Activity-based costing (ABC) model (Bras and Emblemsvag, 1996);

(5) Economic input-output LCA model (Cobas et al., 1996);

(6) Design to cost model (Eversheim et al., 1998);

(7) PLCCA to manufacturing system (WestkamperandOsten-Sacken, 1998);

(8) Total cost assessment (TCA) model (PPRC, 1997).

Guidance et al (2006) stated that none of the existing models has ever evolved to

become or been accepted as a standard reference model, for a diverse reasons:

• Substantial differences in the nature of the problem motivating the analysis,

• Different typologies of products and system under analysis, and

• The existence of different systems of data collection.

Work done by Zhang and Kendall (2001) shows that one of the significant

barriers to using LCCA models is data gathering from organizations to meet requirements

of a life cycle costing model. This results from a highly distributed heterogeneous

environment with a huge number of information sources. When data-processing systems

are distributed in various formats, manufacturers have to search them separately and

manually integrate information from flat files, relational databases, and remote supplier

parts catalogs. Due to the explosion in the amount of information, it is more complex for

collectors to understand customer needs, develop a product to meet these needs, and

bring that product to market quickly and at fair value.

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Table 2.1 Comparison of Life Cycle Cost Models

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2.6 Summary

This chapter explains the historical development of life-cycle cost analysis from

its early use in the military applications to a more broader design approach. life-cycle

cost analysis originated as an instrument for the assessment and reduction of costs in

much broader contexts than that of product development. It has become a valid aid in the

management of the activities of manufacturing companies and, more generally, of all the

typologies of organizations that handle and transform resources. On the other hand, the

importance of cost estimation and control during the design process with the aim of

recasting the costs involved in the various phase of a product’s life-cycle is today an

inescapable factor that must be taken into account in the development of an efficient

product able to succeed in a highly competitive market.

Most of the LCCA models reviewed in literature were developed mainly for

military applications and were not intended for use in the early stages of product

development, while others were meant to solve specific problems. Literature also states

that a wider implementation of the life cycle costing methodology is still being

hampered by a lack of reliable information. Data on life cycle performance are often

missing for many components and systems (data on maintenance, lifespan, replacement

regimes, performance and time aspects of operation, etc.).

Therefore, the need to develop a life cycle cost analysis tool that will include all

costs of product from conception until disposal was realized important. The tool which is

simplified for different usages and demands is expected to help designers to reduce life-

cycle cost of a product in the early stage of the product development.

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CHAPTER 3

METHODOLOGY

3.1 Introduction

From the literature retrieved in Chapter 2, it is evident that the use of Life Cycle

Cost Analysis in small and medium sized Enterprises (SMEs) is still insufficient.

Hampered by lack of experts and user friendly tools. As a result, this research was

conducted in attempt to increase this area of knowledge by developing a user-friendly

tool to assist SMEs perform LCCA for their product/process decision-making.

The project execution flowchart is shown in Figure 3.1. The initial step was

model development were all identifiable cost elements are addressed and existing models

in literature were incorporated into single more detailed LCCA model. A case study was

conducted to test model functionality and result is compared with the base system. After

successful result have been achieved, the software development stage began using MS

ExcelTM .

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The Excel model developed is based on the cost elements developed in the

analytical models retrieved from literature.

Figure 3.1 Project execution flowchart

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The software is tested with the same data tested in the analytical model. When the

software result were found to be similar with the analytical one, it was proven for use and

further development.

A complete documentation of how to use the model and the type of data needed

for the model input have been developed. Finally full report is submitted combining all

the steps of project execution, discussions, and future improvement of the model.

3.2 General framework for LCCA

The methodological framework of LCCA has evolved from simpler forms (such

as those developed for military systems) to more general forms. The advantage of the

former is that they are relatively inexpensive and rapid to use, but they are not adequate

for the development of radically new systems (Dhillon, 1989). Selecting a proper

framework is essential for the determination of the total cost of a product, pertaining to its

entire life cycle.

LCCA may be accomplished in addressing a wide variety of problems at different

stages of the product-life cycle. In any event, the accomplishment of LCCA is iterative,

ongoing, and must be “tailored” to the specific application. Regardless of the application,

however, there are a series of general steps that are usually followed , even though the

depth of coverage will vary.

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Figure 3.2 shows LCCA framework inspired by the proposals made in more

general terms by authors (Fabrycky and Blanchard, 1991).

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3.3 Preliminary Definitions

The preliminary definition is the first phase of LCCA. It includes the definition of

the problem necessitating the application of LCCA, identification of the possible

alternatives to be analyzed, and the development of the structure for allocating the costs

(cost breakdown structure - CBS).

3.3.1 Definition of the Problem

The initial step constitutes the clarification of objectives, defining the issues of

concern, and bounding the problem such that it can be studied in an efficient and timely

manner. The detailed definition of the problem is necessary for the analysis to be

structured correctly, which requires a clear identification of the subject of the analysis

itself.

In essence, there may be a requirement for a life-cycle cost analysis in evaluating

alternative technologies as part of feasibility study leading to a system design approach,

alternative manufacturing approaches, alternative distribution and transportation

methods, operation and utilization scenarios, servicing and maintenance strategies,

different production approaches, etc.). The analyst needs to define the problem, and

describe the approach to be followed in resolving the problem.

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3.3.2 Identification of Feasible Alternatives

Critical in the accomplishment of any LCCA is the identification of feasible

alternatives and the projection of each selected alternative in the context of the entire life

cycle. The point to be made here is that life cycle cost (and not R & D cost or production

cost only) constitutes the evaluation criterion for selecting a preferred approach. Each

decision has life-cycle cost implications. For instance; an equipment packaging

configuration will directly effect the test equipment and spare parts required for the

follow-on sustaining support of that equipment; product reliability will effect both

production requirements and maintenance and logistics support policies; production

utilization will effect design requirements; and so on.

3.3.3 Development of Cost Breakdown Structure - (CBS)

Given the definition of alternative configurations and of the activities associated

with them, a structure of cost allocation and collection is developed, which must allow

the classification of the different cost typologies, relating them to the main life cycle

activities. There is no set method for breaking down cost as long as the method used can

be tailored to the specific application. The depth of composition of the Cost Breakdown

Structure (CBS) depends on the purpose of the analysis to be performed. Is essential in

performing LCCA, and is intended to aid in providing overall cost visibility. The cost

categories will vary somewhat in terms of depth of coverage, depending on the type of

system being evaluated. However, it is important that all identifiable cost be addressed in

the CBS.

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It is often difficult to determine the method by which the costs are derived for the

various categories. One should not only know what specific cost segments are included,

but how each factor is handled and the relationships between the various costs in any

given category.

3.4 Cost Valuation

The criteria employed in the evaluation process may vary considerably depending

on the stated problem. The choice of calculation method and model is one of the key

steps in the whole procedure, since models that are not adequate for the purposes of the

investigation may be insensitive to the problem set as the objective. The cost estimation

must be made in strict relationship with cost breakdown structure and cost estimating

relationships.

Finally, the development of cost profiles is determinant in the comparison of the

various alternatives under consideration, since they quantify the influence of the

alternative over the entire life-cycle through future cost projections.

3.4.1 Selection of Cost Model

After defining the cost breakdown structure, it is necessary to develop a model (or

series of models) to facilitate the life-cycle economic evaluation process.

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The model may be a simple series of parameter relationships or a complex set of

computer subroutines, depending on the phases of the system life-cycle in which the

model is used and the nature of the problem at hand.

3.4.2 Development of Cost Estimates

A cost estimate is an opinion based on analysis and judgment of the cost of the

product, system, or structure. This opinion may be arrived at in either a formal or an

informal manner by several methods, all of which assume that experience is a good basis

for predicting the future. In many cases, the relationship between past experience and

future outcome is fairly direct and obvious; in other cases it is unclear, because the

proposed product or system differs in some significant way from its predecessors.

The techniques used for cost estimating range from intuition at one extreme to

detailed mathematical analysis at the other (Fabrycky and Blanchard, 1991).

3.4.3 Development of Cost profiles

With the product life cycle defined and cost estimating approaches established, it

is now appropriate to develop a cost profile (or cost projection) illustrating the

distribution of costs over the life cycle. In developing cost profile, there are different

approaches that may be followed.

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32

The following are suggested by (Fabrycky and Blanchard, 1991):

1. Identify all activities throughout the life cycle that will generate costs of

one type or another.

2. Relate each activity identified in step 1 to a specific cost category the cost

breakdown structure (CBS).

3. Establish the appropriate cost factors in constant dollars for each activity

in the CBS, where constant dollars reflect the general purchasing power of

constant dollars that will allow for a direct comparison of activity levels

for year to year prior to the introduction of inflationary cost factors,

changes in price levels, economic effects of contractual agreements with

suppliers, and so on, which often cause some confusion in the evaluation

of alternatives.

4. Within each cost category in the CBS, the individual cost elements are

projected into the future on a year-to-year basis over the life cycle as

applicable. The result should be a cost stream in constant dollars for the

activities that are included.

5. For each cost category in the CBS, and for each applicable year in the life

cycle, introduce the appropriate inflationary factors, economic effect of

learning curves, changes in price levels, time value of and so on. The

modified values constitute a new cost stream and reflect realistic costs as

they are anticipated for each year of the life cycle.

6. Summarize the individual cost streams by major categories in the CBS and

develop a top-level cost profile.

Referring to step 5, a typical profile might be presented in three different ways to include;

a) A discounted profile, using the time value of money concepts for the comparison

of two or more alternatives on an equivalent basis.

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b) A budgetary profile using constant dollars to allow for the evaluation of a single

profile on year-to-year basis in terms of today’s dollars; and

c) A budgetary profile using inflationary factors, effects of learning curves, and so

on, to allow for the evaluation of a single profile in terms of possible resource or

budgetary constraint.

While the economic analysis effort requires the time value of money

considerations, a manager will often want to look at a profile presented in budgetary

terms prior to making a decision in selecting a specific alternative.

3.5 Result Analysis

This phase covers the procedures of analyzing the result (sensitivity analysis), and

identifies the most influential cost factor (high cost contributors).

The result of cost estimating phase must be evaluated in different ways. For

example; by identifying the main cost factors, it is possible to reveal the criticalities of

each alternative, indicating which factors may be modified to improve the overall

economic performance.

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3.5.1 Identification of High Cost Contributors

Given the results of LCCA, the analyst may wish to identify those areas of

potential risk and where possible improvement can be introduced with the objective of

reducing the overall life-cycle cost. In other words, the analyst can review the initial

results of the analysis, identify the high cost areas determine possible causes, and make

recommendations for improvement leading to a lower overall life-cycle cost.

This process can be facilitated through an understanding of the input factors to the

cost categories in the CBS used in the analysis, as can be seen by reviewing the cost

estimating models in chapter 4.

3.5.2 Accomplishment of sensitivity analysis

When completing LCCA, there may be a few key parameters about which the

analyst is very uncertain due to inadequate input data, initial assumptions, pushing the

state-of-art, or any combination of factors. These basic questions are – how sensitive are

the results of analysis to variations of these uncertain parameters? Will these variation

ends to justify the selection of an alternative configuration not currently being

considered? How much variation of a given parameter is required to shift the decision

from selecting alternative A in lieu of alternative B?.

In accomplishing a sensitivity analysis, the analyst may wish to employ the model

using a “baseline” system configuration, and then return the model while varying

different key input parameters to determine the impact on the results.

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The sensitivity analysis can be extremely beneficial to the decision maker, and

often conveys more information than any other single aspect of the overall life cycle cost

analysis process. The analyst can readily identify cause and effect relationships, is able to

predict trends, and is better prepared to respond to the “what if” questions.

3.6 Decision Making

The LCCA process concludes with the decision-making-process, choosing the

alternatives considered best, and defining the principle recommendation and actions for

improvement.

3.7 Summary

This chapter explains the methodology of this project and the formal procedure of

performing LCCA . LCCA can be accomplished during conceptual design when limited

input data are available and, of course, it can be accomplished later during detailed design

and development when the system configuration is fairly well defined. In any event, the

accomplishment of LCCA is iterative, ongoing, and must be “tailored” to the specific

application. Regardless of the applications, however, there are a series of general steps

that are usually followed, even though the depth of coverage may vary.

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36

Accomplishing LCCA incorporates the steps described in Figure 3.2. The

problem necessitating the LCCA application must be well defined; followed by the

identification of all feasible alternatives; develop Cost Breakdown Structure (CBS) of

each alternative to be evaluated; estimate cost ( the cost estimation must be made in strict

relationship with cost breakdown structure); to evaluate each alternative cost profiles

must be developed for each alternative; identify high cost contributor, perform sensitivity

analysis of the high cost contributors and see the effect of its variation to the total life-

cycle cost, and finally recommend the preferred approach based on the outcome of the

LCCA.

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CHAPTER 4

MODEL DEVELOPMENT

4.1 LCCA Model

In addressing the depth analysis approach with the desired model design features

in mind, experience indicates that a series of models (or single model with a series of

sub-routines) is required (Woodward, 1978). LCCA itself constitutes a compilation of a

variety of cost factors representing many different types of activities. This point is

illustrated further in Figure 4.1, where the general life-cycle cost model is divided in to

four sub-models. The summation of these models will give the total life-cycle cost of a

product.

For the purpose of this research, we adopted the analytical models developed in a

more general terms by Fabrycky and Blanchard (1991) to our life-cycle cost model. The

model is characterized by the following phases;

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38

1. Research and development cost

2. Production and construction model

3. Operation and maintenance model

4. Retirement and disposal model

4.2 Cost breakdown structure - CBS

In accomplishment of a LCCA, one needs to develop a cost breakdown structure

(CBS), or cost tree, to facilitate the initial allocation of costs (top-down) and the

subsequent collection of costs on a functional basis (bottom-up). The CBS shown in

Figure 4.2 represent the various elements of cost that when combined, represent total life-

cycle cost.

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39

The categories identified indicate cost collection points which can be summarized

upward into broader categories and/or can be collected for different program functions or

system elements.

The intent is to incorporate a high degree of flexibility in order to provide the

necessary visibility for cost allocation, cost measurement, and cost control. This CBS can

be applied to a variety of programs; however, the depth of coverage may vary from

program to program depending on the type of system being evaluated.

Detailed descriptions of each cost category are mathematically modeled in the

following sections.

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41

4.3 Cost Estimating

Cost estimates is based on determining the functional relationships between cost

variations and the factors on which these depend (product characteristics). These

relationships are expressed using mathematical functions primarily obtained through the

statistical evaluation of previous design experiences; they allow the evaluation of the

costs of the product or activity associated with various important parameters expressing

measurable attributes.

Analytical method is more appropriate for an LCCA at the stage of product

concept development and makes it possible to directly relate technical and economical

parameters.

4.3.1 Total Product Cost (TC)

This includes all future life-cycle costs associated with the research and

development, production and construction, operation and maintenance, and retirement of

the system or product. The cost breakdown structure of each cost category is illustrated in

figure 4.2.

Mathematically,

TC = [CR+ CP + CO + CD] …………………………… (1)

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42

Where,

CR = Research and development cost

CP = Production and construction cost

CO = Operation and maintenance cost

CD = Retirement and disposal cost.

4.3.1.1 Research and Development Cost - CR

Includes all costs associated with product management, product planning, product

research, engineering design, design documentation, product software, and product test

and evaluation. These costs are basically nonrecurring.

Or,

CR = [CRM + CRP + CRR + CRE + CRD + CRS + CRT] ……………………… (2)

I. Product life cycle management cost - CRM

Cost of all management activities throughout the product life cycle applicable to

product planning, product research, product design, production/construction, test and

evaluation, operation and logistics support, and product retirement.

Or,

CRM = ∑=

N

i

i1

CRM

CRMi = cost of specific activity “i”

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43

N = number of activities.

II. Product planning cost - CRP

Covers preliminary and detailed market analysis, feasibility studies, development

of operational and program proposals, development of program plans and specifications,

development of financial plans, etc.

Or,

CRP = ∑=

N

i

i1

CRP

CRPi = cost of specific planning activity “i”

N = number of activities.

III. Product research cost – CRR

Includes all costs associated with applied research, test models, and research

laboratory support (i.e., manpower, materials, and facilities).

Or,

CRR = ∑=

N

i

i1

CRR

CRRi = cost of specific research activity “i”

N = number of activities

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44

IV. Engineering design cost - CRE

This includes all conceptual design, preliminary design, and detailed design effort

associated with the development and/or modification of a system, process, or product.

Specific areas include systems engineering; design engineering (electrical, mechanical,

structural, chemical, layout and drafting); reliability and maintainability engineering;

human factors and safety; functional analysis and allocation; logistics support analysis;

components engineering; producibility; and so on. Also, this category covers design

support (e.g., computer-aided design capability, procurement activities, etc.) and formal

design review functions.

Or,

CRE = ∑=

N

i

i1

CRE

CRE = cost of specific design activity “i”

N = number of activities

V. Design documentation cost – CRD

This category covers the cost of preparation printing, publication, distribution,

and storage of all data and documentation associated with CRR, CRD, and CRT. Specific

elements include R and D reports; design data (drawings, parts list, specifications,

layouts); Analysis; test plans, test procedures, and reports; preliminary operational,

installation and maintenance procedures; and design-related supporting documentation.

Program proposals and plans are included in CRP.

Or,

CRD = ∑=

N

i

i1

CRD

CRDi = cost of data item “i”

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45

N = number of data items

VI. Product software cost - CRS

All initial development (requirements, procedures, layout, logic flows, etc),

modification, and production of software are included in this category. This covers both

recurring and nonrecurring costs.

Or,

CRS = [CRSD+ CRSM + CRSP]

Where,

CRSD = software development

CRSM = software modification

CRSP = software production

VII. System test and evaluation cost – CRT

This category includes fabrication, assembly, tests and evaluation of engineering

breadboards, engineering models and pre-production prototype models (in support of

product design—CRE). Specifically, this constitutes fabrication and assembly of hardware

and software; material procurement and handling; instrumentation; quality control and

inspection; logistics support (personnel, training, supply support, test and support

equipment, facilities, etc); data collection and analysis and evaluation plans, procedures,

and reports are included in CRD. Recurring production tests are included in CP.

Or,

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46

CRT = [CRTA*NRT + CRTB*NRT +∑=

N

i

i1

CRTT ]

Where,

CRTA = cost of engineering model fabrication and assembly labor

CRTB = cost of engineering model material

CRTTi = cost of test operations and support associated with specific test “i”

NRT = Number of engineering models

N = number of identifiable tests

4.3.1.2 Production and Construction Cost - CP

This category includes all recurring and nonrecurring costs associated with

industrial engineering, product manufacturing, construction of new facilities, and initial

logistics support.

CP = [CPI + CPM + CPC + CPQ + CPL] …………………………. (3)

I. Industrial engineering and operations analysis cost - CPI

Includes all recurring and nonrecurring costs associated with the initial

engineering and sustaining engineering functions of manufacturing and construction.

Specifically, this constitutes: (1) plant engineering (e.g., design of production and storage

facilities, utility requirements, capital equipment needs, material handling provisions,

etc); (2) manufacturing engineering (e.g., make or buy decisions, process design, design

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of special tools/fixtures/test equipment, man-machine functions, etc.); (3) methods

engineering (e.g., work methods, job skill requirements, standards, design of subassembly

and assembly operations, etc.);(4) Production control operations (e.g., production lot

quantities and batch sizes, economic order quantities and inventory levels, work-order

[processing and assignment); and (5) sustaining engineering support throughout the

production/construction phase.

Or,

CPI = [CPIP + CPIM + CPIE + CPIC + CPIS]

Where,

CPIP = Cost of plant engineering

CPIM = Cost of manufacturing engineering

CPIE = Cost of methods engineering

CPIC = Cost of production control

CPIS = Cost of sustaining engineering

II. Manufacturing cost – CPM

This can be further categorized as;

(1) Recurring manufacturing cost – fabrication and assembly labor cost, material

and inventory cost, inspection and test cost, product rework cost (as required),

packing and initial transportation cost, and direct engineering support cost.

(2) Nonrecurring manufacturing cost – labor and material costs associated with the

installation and support of factory tools, fixtures, and test equipment. Design

costs are included in CPIM.

Or,

CPM = [CPMR + CPMN]

Where,

CPMR = Recurring manufacturing cost

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48

CPMN = Non recurring manufacturing cost

III. Construction cost - CPC

This category covers:

(1) Manufacturing facilities which support the functions described in CPI and CPM

initial acquisition and sustaining maintenance costs are included herein.

(2) Special test facilities necessary to cover unique and peculiar test and evaluation

requirements (above and beyond available facilities for engineering and

manufacturing test as covered in CRT and CPM). Initial acquisition and sustaining

maintenance costs are included herein.

(3) Special facilities required for the day-to-day operation of large systems/products

by the consumer or user. Acquisition costs are included herein and sustaining

costs are covered in COOF.

(4) Special facilities required for the sustaining support of maintenance need of the

system throughout its programmed life cycle (e.g., repair, rework, periodic

calibration, overhaul, modification, etc.). Recurring sustaining costs are covered

in COLM.

(5) Special facilities required for training consumer or user personnel in the operation

and maintenance of the system/product (e.g., large simulator). Sustaining costs are

covered in COOT and COLT.

Special warehousing required for system/product storage and distribution. Sustaining

costs are covered in COLW.

Or,

CPC = [CPCP + CPCE + CPCC + CPCM+ CPCT + CPCW]

CPCP = Cost of manufacturing facilities

CPCE = cost of special cost facilities

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CPCC = acquisition cost of consumer facilities (system operations)

CPCM = acquisition cost of maintenance facilities

CPCT = acquisition cost of training facilities

CPCW = acquisition cost of inventory warehouses

IV. Quality Control Cost - CPQ

CPQ = [CPAQ + ∑=

N

i

CPQC1

+∑=

N

i

CPQS1

]

Where,

CPQA = Quality assurance cost

CPQC = Cost of qualification

CPQS = Cost of production sampling test “i”

V. Initial logistic support cost - CPL

CPL = [CPLC + CPLS + CPLT + CPLH + CPLD + CPLP + CPLE]

Where,

CPLC = initial customer service cost

CPLS = initial supply support cost

CPLT = initial test and support equipment cost

CPLH = initial transportation and handling cost

CPLD = initial technical data cost

CPLP = initial training cost

CPLE = initial training equipment cost

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4.3.1.3 Operation and support cost - CO

This category includes all costs associated with product distribution, product

operational use (by the consumer), and the sustaining life cycle logistics support of the

product in the field.

Or,

CO = [COO + COD + COL] …………………………. (4)

I. Product operation cost – COO

COO = [COOP + COOT + COOF]

Where,

COOP = operating or user personnel cost

COOT = cost of operation training

COOF = cost of operational facilities

i. Operating or user personnel cost - COOP

COOP = (COPP) (QOP) (TO) (NOP) * (% Allocation)

Where,

COPP = cost of operator labor QOP = quantity of operators per system

TO = hours of system operation

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51

NOP = number of operating system

ii. Operator training cost - COOT

COOT = [(COTT) (QOT) (TT) + (COTS) * (% Allocation)]

Where,

COTT = cost of operator training ($/student-week)

QOT = quantity of student operators

TT = Duration of training (weeks)

COTS = cost of training equipment and facility support

iii. Operational facilities cost (COOF)

COOF = [(COFS + COFU) (NOF) * (% Allocation)]

Where,

COFS = cost of operational facility support ($/site)

COFU = cost of utilities ($/site)

NOF = number of operational sites

II. Product distribution cost - COD

COD = [CODM + CODT + CODI]

Where,

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52

CODM = cost marketing and sales

CODT = cost of transportation and traffic management

CODI = cost of inventory in warehouses

III. Sustaining logistic support – COL

COL = [COLC + COLW + COLM + COLS + COLT + COLE + COLN + COLD + COLK]

Customer service cost – COLC

COLC = COLA + COLB

Where,

COLA = cost of unscheduled or corrective maintenance

COLB = cost of scheduled or preventive maintenance

i. Corrective maintenance cost – COLA

COLA = [(COUL) (MMHU) (QMAU) + (QMAU) (COUM) + (QMAU) * (COUD)] (NMS)

Where,

COUL = unscheduled maintenance labor cost ($/MMHU)

MMHU = unscheduled maintenance man-hours per maintenance action

QMAU = quantity of unscheduled maintenance actions QMAU = (TO) (λ)

COUM = cost of material handling per unscheduled maintenance action

COUD = cost of documentation per unscheduled maintenance action

NMS =number of maintenance sites

TO = hours of system operation

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53

λ = product failure rate in failures/hour

ii. Preventive maintenance cost - COLB

COLB = [(COSL) (MMHS) (QMAS) + (QMAS) * (COSM) + (QMAS) (COSD)] (NMS)

Where,

COSL = scheduled maintenance labor cost ($/MMSH)

MMHS = scheduled maintenance man-hours per maintenance action

QMAS = quantity of scheduled maintenance actions.

COSM = cost of material handling per scheduled maintenance action

COSD = cost of documentation per scheduled maintenance action

NMS = number of maintenance sites

iii. Warehouse facilities cost – COLW

COLW = [(COWS) + (COWU) (NOW)] (% Allocation)

Where,

COWS = cost of warehouse facility support ($/warehouse)

COWU = cost of utilities ($/warehouse)

NOW = number of warehouses

iv. Maintenance facilities and training facilities cost – COLM

COLM = (COMM) (NOM) + (COMT) (NOT) * (% Allocation)

Where,

COMM = cost of maintenance facility support

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54

NOM = number of maintenance facilities

COMT = cost of training facility support

NOT = number of maintenance training facilities

v. Supply support cost – COLS

COLS = [COSO + COSI + COSD + COSS + COSC]

Where,

COSO = cost of spare/repair parts at organizational level

COSI = cost of spare/repair parts at intermediate level

COSD =cost of spare/repair parts at depot level

COSS =cost of spare/repair parts at supplier

COSC = cost of consumables

COSO = ∑NMS

[(CA) (QA) + ∑ (CMi) (QMi) + ∑=1i

(CHi) (QHi)]

Where,

CA = average cost of material purchase order ($/order)

QA = quantity order ($/order)

CMi = cost of spare part “i”

QMi = quantity of “i” items demanded

CHi = cost of maintaining spare item “i” in the inventory ($/$ value of the

inventory)

QHi = quantity of “i” items in the inventory

NMS = number of maintenance sites.

COSI, COSD, COSS, and COSC are determined in a similar manner.

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vi. Maintenance personnel training cost – COLT

COLT = (COTM) (QOM) (TT) + (COLL) (% Allocation)

Where,

COTM = cost of maintenance training ($/student week)

QOM = quantity of maintenance students

TT = direction of training (weeks)

COLL = cost of training equipment support

vii. Test and support equipment cost - COLE

COLE = [COEO + COEI + COED]

Where,

COEO = cost of maintenance of the test and support equipment at organizational level.

COEI = cost of maintenance of the test and support equipment at intermediate level

COED = cost of maintenance of the test and support equipment at dept and supplier level.

COEO = [COEU + COES]

COEU = cost of equipment unscheduled maintenance

COES = cost of maintenance of the test and support equipment at depot and supplier level

COEI and COED are derived in a similar manner.

viii. Transportation and handling cost – COLH

COLH = [(CT) (QT) + (CS) (QT) + CX]

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56

Where,

CT = cost of transportation

QT = quantity of on-way shipments

CS = cost of packing

CX = cost of transportation and handling equipment maintenance

CT = [(W) (CTC)]

W= weight of item kg - will vary depending on whether reusable containers are

employed.

CTC = shipping cost $/kg – will vary with the distance in kilometers of one-way

shipment.

CS = (W) (CSC)

CSC = packing cost ($ /kg) – will vary depending on whether reusable containers are

employed.

x. Technical data cost – COLD

COLD = ∑=

N

i 1

COLDi

Where,

COLDi = cost of specific data item “i”

N = number of data items

xi. Product modifications - COLK

COLK = ∑=

N

i 1

COLKi

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57

Where,

COLKi = cost of specific modifications “i”

N = number of product modifications.

4.3.1.4 Retirement and Disposal Cost - CD

Retirement and disposal costs consist of the following categories,

CD = [CDC + CDA + CDR + CDE + CDS + CDD] ………………….. (4)

Where,

CDC = cost of product collection

CDA = cost of product disassembly

CDM = cost of remanufacturing

CDR = cost of recycling

CDS = cost of disposal

CDD = cost of documentation

I. Cost of Collection – CDC

Cost of collection includes all costs associated with the collection of the product

after its useful life.

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II. Cost of Disassembly – CDA

The product is taken apart without destroying any parts or components. Some

products may undergo only this process, which occurs if the reusable parts are sold (the

product loop is closed) whereas the rest is recycled

III. Cost of Remanufacture – CDM

This category covers costs related to remanufacturing of the product. This is an

industrial process that restores worn products to like-new condition. A retired product is

first completely disassembled, and its usable parts are then cleaned, refurbished, and put

into inventory. Finally, a new product is reassembled from both old and new parts,

relating a unit equal in performance to the original or a currently available alternative. In

contrast, a repaired or rebuilt product usually retains its identity, and only those parts that

have failed or are badly worn are replaced. Remanufacturing is therefore a systematic

way of closing the product loop.

IV. Cost of Recycling – CDR

As name implies, this includes all costs associated with the recycling of the

product. In this process, material is reprocessed into “new” raw material. This is the same

as closing the material loop. Recycling is perhaps the most common strategy to closing

the materials loop, but is the least effective one in the sense that it is the most wasteful

strategy (except disposal)

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V. Cost of Disposal – CDS

All cost associated with disposal are listed under this category. The last resort of

the product is the disposal, which ideally should not happen at all. In fact, countries like

America, a lot of resources are transformed into nonproductive solids and gases.

VI. Cost of documentation – CDD

This category covers the cost associated with the documentation and recording of

all costs under retirement and disposal cost, this covers CDC, CDM, CDR, CDA and CRS.

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4.4 Software Development

In order to make the model easy for use, a simple ExcelTM software have been

developed that will facilitate the analyst job when performing LCCA. The software

contains input data collection sheets and alternative evaluation worksheet. How to use the

model is explained in the outline worksheet.

4.4.1 Model Input

In general, the Excel model uses the following inputs;

Input data

� Estimated costs

� Assumptions

Parameters

� discount rate

� useful life/ analysis period

Cost inputs typical of those generated by the functional departments such as

(research and development, production and construction, operation and maintenance,

retirement and disposal). Assumption can be made based on the cost estimates and

relevant to the problem at hand.

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Discount rate refers to the rate of change of true value of money over time,

considering fluctuations in both investment interest rates and the rate of inflation.

Individual cost projections for each alternative must be discounted to the present value.

LCCA is done using the basic multi-year discounting formula:

where ,

• PV = present value at time zero (base year)

• r = discount rate

• t = time (number of year)

• Cost = equals the cost in year t

Analysis period refers to time frame that is sufficiently long to reflect differences

among different strategy alternatives. It is necessary to select an analysis period over

which the alternatives are compared.

The CBS assumed for the purpose of this study is presented in Table 4.1 (also

refer to Figure 4.2). Although not all cost categories may be relevant or significant in

terms of the magnitude of cost as a function of total life-cycle cost, this CBS does serve

as a good starting point. Initially, all costs must be considered, with the subsequent

objective of concentrating on those cost categories reflecting the high contributors.

In the previous section, the cost estimating relationships of the CBS have been

developed in more details.

t

N

ttCost

rPV ∑

=

+=

0 )1(

1

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62

Table 4.1 Cost Breakdown Structure Each product/system alternative should be calculated the same way using this table

Cost by Program

Year**

Cost Category* Category 1 2 3 Total Cost $

Research & Development Cost - CR

1. Product Management CRM

2. Product Planning CRP

3. Product Research CRR

4. Design Documentation CRD

5. Product Software CRS

6. Engineering Design CRE

7. Product Test & Evaluation CRT

Subtotal

Production & Construction Cost - Cp

1. Industrial Engineering and Operation Analysis Cost CPI

2. Manufacturing cost CPM

3. Construction cost CPC

4. Quality Control Cost CPQ

5. Initial logistic support cost CPL

Subtotal

Operation & Maintenance Cost - Co

1. Product operation cost COO

2. Operator training cost COOT

3. Operational facilities cost COOF

4. Operating or user personnel cost COOP

5. Product distribution cost COD

7. Preventive maintenance cost COLB

10. Maintenance personnel training cost COLT

11. Test and support equipment cost COLE

12. Transportation and handling cost COLH

Subtotal

Retirement & Disposal Cost -CD

1.Cost of Collection CDC

2.Cost of Disassembly CDA

3.Cost of Remanufacture CDM

4.Cost of Recycling CDR

5.Cost of Disposal CDS

6.Cost of documentation CDD

Subtotal

Grand total

* Depends on your product cost categories

** Depends on Product Life Cycle Years

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63

4.4.2 Evaluation of Alternatives

With the product CBS defined and cost estimating approaches established, it is

appropriate to apply the resultant data to the product life cycle using Table 4.2. When

evaluating two or more alternatives on a relative basis, the individual cost projections for

each alternative must be discounted to the present value.

TABLE 4.2 EVALUATION OF ALTERNATIVES

Each alternative Present cost should be calculated the

same way using this table

Product Activity* Cost

Category Cost by Program Year**

Total Actual

Cost

1 2 3

Research and development CR

Production and construction CP

Operation and support Co

Retirement and disposal CD

Total actual cost TC

Discount Factor %

Total present value cost PV

Cumulative Product Cost PC

* Depends on your product cost categories

** Depends on Product Life Cycle Years

4.4.3 High Cost Contributors

Given the results of LCCA, the analyst may wish to identify those areas of

potential risk and where possible improvement can be introduced with the objective of

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64

reducing the overall life-cycle cost. this process can be facilitated through an understand

of the input factors to the cost categories in the CBS used in the analysis.

4.4.4 Sensitivity Analysis

The analyst should select the high cost contributors (those which contribute more

than 10% of the total cost); determine the cause and effect relationships; and identify the

various input data factors that directly impact cost. The model has a built in sensitivity

analysis, where iterative process is used to change one variable at a time while holding

the rest constant.

4.4.5 Application of LCCA Model In Automotive Industry

Relative to applications in the system or product life cycle, a problem oriented

example where life cycle cost analysis is appropriate to support decision making process

for automotive manufacturers is noted. Specifically, life cycle cost analysis should be

employed in the evaluation of,

a) Alternative system/product operational, utilization, and environmental profiles.

b) Alternative system maintenance concepts and logistics support policies

c) Alternative product design configurations, such as Design for (Recycling, Reuse,

& Remanufacturing )

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65

d) Alternative material selection, such as ( steel or aluminum) in a car body.

e) Alternative procurement sources and the selection of a supplier for a given item

f) Alternative production approaches.

g) Alternative product distribution channels.

h) Alternative product disposal and recycling methods and so on.

A typical example of the CBS comparing two different design configurations with

their percentage of cost contribution of an automotive component design is presented in

Table 4.3. The life-cycle of the system is assumed to be 13 years.

Table 4.3 – Cost Breakdown Structure of The Two Configurations

Cost Category Category Design "A"

Cost $

% of

Total

Design "B"

Cost $ % of Total

Research & Development Cost -

CR

1. Product Management CRM

573,392.0

10.8

533,091.0

9.3

2. Product Planning CRP

92,748.0

1.7

87,345.0

1.5

3. Product Research CRR

4. Design Documentation CRD

106,841.0

2.0

174,587.0

3.0

5. Product Software CRS

6. Engineering Design CRE

532,959.0

10.0

466,133.0

8.1

7. Product Test & Evaluation CRT

132,614.0

2.5

136,398.0

2.4

Subtotal

1,438,554.0

27.1

1,397,554.0

24.4

Production & Construction Cost -

Cp

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66

1. Industrial Engineering and

Operation Analysis Cost CPI

136,847.0

2.6

121,786.0

2.1

2. Manufacturing cost CPM

1,301,796.0

24.5

1,398,080.0

24.4

3. Construction cost CPC

195,954.0

3.7

210,876.0

3.7

4. Quality Control Cost CPQ

153,527.0

2.9

149,989.0

2.6

5. Initial logistic support cost CPL

437,185.0

8.2

434,578.0

7.6

Subtotal

2,225,309.0

41.9

2,315,309.0

40.4

Operation & Maintenance Cost -

Co

1. Product operation COO

2. Operator training COOT

3. Operational facilities COOF

4. Operating or user personnel COOP

52,092.0

1.0

50,191.0

0.9

5. Product distribution COD

549,170.0

10.3

620,098.0

10.8

6. Sustaining logistic support COL

7. Preventive maintenance COLB

268,653.0

5.1

378,453.0

6.6

8. Supply support COLS

616,532.0

11.6

776,908.0

13.6

9. Warehouse facilities COLW

10. Maintenance personnel

training COLT

18,898.0

0.4

27,986.0

0.5

11. Test and support equipment COLE

74,674.0

1.4

74,146.0

1.3

12. Transportation and handling COLH

11,150.0

0.2

15,487.0

0.3

Subtotal

1,591,169.0

29.9

1,943,269.0

33.9

Retirement & Disposal Cost -CD

1.Cost of Collection CDC

8,000.0

0.2

8,000.0

0.1

2.Cost of Disassembly CDA

15,000.0

0.3

18,000.0

0.3

3.Cost of Remanufacture CDM

17,000.0

0.3

26,000.0

0.5

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67

4.Cost of Recycling CDR

11,000.0

0.2

15,000.0

0.3

5.Cost of Disposal CDS

4,000.0

0.1

4,000.0

0.1

6.Cost of documentation CDD

5,000.0

0.1

5,000.0

0.1

Subtotal

60,000.0

1.1

76,000.0

1.3

Grand total

5,315,032.0

100.0

5,732,132.0

100.0

4.4.5.1 Cost contribution

Figure 4.3 reflects the output of Table 4.3 above, where constant dollar estimates

are summarized under the major cost categories in the CBS. A comparison of costs in

design “A” and “B” can be made in terms of the percent contribution of each major

category to the total.

(a) (b)

Figure 4.3 Percentage of cost contribution

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68

4.4.5.2 Evaluation of the two alternatives

The two design configuration “A” & “B” in Table 4.4 discounted to 10 % are

presented in Table 2. Present value calculations can be simplified using standard interest

tables in appendix A and by multiplying the future sum by the appropriate factor.

TABLE- 4.4 EVALUATION OF

ALTERNATIVES

Each alternative Present cost

should be calculated the same way

using this table

Product Activity* Cost

Category Cost by Program Year** (US$ Dollars)

Design A 1 2 3 4 5

Research and development CR

434,294.00

408,019.00

596,241.00

Production and construction CP

217,348.00

680,254.00

678,386.00

649,321.00

Operation and support Co

62,888.00

138,383.00

160,827.00

Retirement and disposal CD

Total actual cost TC

434,294.00

625,367.00

1,339,383.00

816,769.00

810,148.00

Discount Factor 10%

0.91

0.83

0.75

0.68

0.62

Total present cost PV

394,812.73

516,832.23

1,006,298.27

557,864.22

503,038.17

Cumulative Product Cost PC

394,812.73

911,644.96

1,917,943.23

2,475,807.45

2,978,845.62

Design B

Research and development CR

404,294.00

497,019.00

496,241.00

Production and construction CP

297,348.00

650,254.00

698,386.00

669,321.00

Operation and support Co

82,888.00

148,383.00

190,827.00

Retirement and disposal CD

Total actual cost C

404,294.00

794,367.00

1,229,383.00

846,769.00

860,148.00

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69

Continued …..

Discount Factor 10%

0.91

0.83

0.75

0.68

0.62

Total present cost PV

367,540.00

656,501.65

923,653.64

578,354.62

534,084.23

Cumulative Product Cost PC

367,540.00

1,024,041.65

1,947,695.30

2,526,049.92

3,060,134.15

Total Actual

Cost ($)

6 7 8 9 10 11 12 13

1,438,554.00

2,225,309.00

170,870.00

190,916.00

223,985.00

247,206.00

131,575.00

137,144.00

120,384.00

6,991.00

1,591,169.00

60,000.00

60,000.00

170,870.00

190,916.00

223,985.00

247,206.00

131,575.00

137,144.00

120,384.00

66,991.00

5,315,032.00

0.56

0.51

0.47

0.42

0.39

0.35

0.32

0.29

96,451.66

97,970.10

104,490.66

104,839.48

50,727.86

48,068.14

38,358.05

19,404.91

3,539,156.46

3,075,297.28

3,173,267.37

3,277,758.03

3,382,597.50

3,433,325.36

3,481,393.50

3,519,751.55

3,539,156.46

35,166,788.29

1,397,554.00

2,315,309.00

209,870.00

230,916.00

253,985.00

287,206.00

191,575.00

177,144.00

160,384.00

10,091.00

1,943,269.00

76,000.00

76,000.00

209,870.00

230,916.00

253,985.00

287,206.00

191,575.00

177,144.00

160,384.00

86,091.00

5,732,132.00

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70

4.4.5.3 Cost Profiles

The profiles in Figure 4.4 represents the cost streams of different activities of the

two designs projected over the life cycle years. This is a budgetary estimate covering

future resource needs of design configurations “A” and “B”.

(a) (b)

Figure 4.4 Development of life cycle cost profiles

0.56 0.51 0.47 0.42 0.39 0.35 0.32 0.29

118,466.14

118,496.42

118,485.88

121,803.38

73,860.46

62,087.89

51,103.29

24,937.50

3,749,375.10

3,178,600.30

3,297,096.72

3,415,582.59

3,537,385.97

3,611,246.43

3,673,334.32

3,724,437.60

3,749,375.10

37,112,520.05

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71

4.4.5.4 Decision Making

Referring to Figure 4.5, the results of this analysis support design “A” as the

preferred configuration on the basis of present equivalent life-cycle cost.

Design “A” assume a slight advantage; i.e., a difference of approximately US$

210,218.65 with a 10% discount rate.

Figure 4.5 Cost profiles of the two designs

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72

4.4.5.5 Sensitivity Analysis using scenario manager

Sensitivity analysis is performed using scenario manager in Excel. This is a

what-if model that includes variable cells linked together by one or more formulas. For

example, How sensitive is the result of life-cycle cost to variation of interest rate. This is

shown in the scenario report in Table 4.5.

Table.4.5-Scenario

Summary

Current

Values: rate 5%

baseline

rate 10% rate 15% rate 20% rate 25% rate 35%

Changing

Cells:

rate 10% 5% 10% 15% 20% 25% 35%

Result

Cells:

rate 10% 5% 10% 15% 20% 25% 35%

LCC-A

3,539,156.46

4,282,240.35

3,539,156.46

2,985,484.10

2,560,748.13

2,226,904.39

1,740,519.84

LCC-B

3,749,375.10

4,572,035.94

3,749,375.10

3,143,955.26

2,684,312.18

2,326,107.73

1,809,179.12

Notes: Current Values column represents values of changing

cells at

time Scenario Summary Report was created.

Changing cells for each

Scenario are

highlighted in gray.

Base line rate= 10%

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73

4.5 Summary

A life-cycle cost analysis may be accomplished in addressing a wide variety of

problems at different stages of the system/product life cycle. It is applicable in the initial

structuring of system requirements in the evaluation of design alternatives, and in the

development of manufacturing approaches. It can be effectively utilized in assessing an

existing system capability already in being by identifying high-cost contributors and

costly problem areas.

Accomplishment of LCCA incorporates the steps developed in chapter 3. A cost

breakdown structure is developed (refer to Figure 4.2), cost generating variables and

factors are identified, and costs are summarized year by year. Finally, cost profiles are

developed, sensitivity analysis is performed, and the best configuration is selected based

on the outcome of the analysis.

A simple software is developed using ExcelTM to facilitate the use of LCCA. The

procedure of using the software can be easily understood from the example given,

illustrating various tables and figures. Necessary information of how to use the model is

provided with the software overview worksheet.

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CHAPTER 5

DISCUSSION

The main purpose of this project was to develop a life cycle cost analysis (LCCA)

tool that can be used by small and medium sized enterprises (SMEs) for the decision

making process when comparing different alternatives of their products. LCCA appears

to be a useful approach to a comprehensive assessment of economic, environmental and

social impacts of the life-cycle of a product and helps SMEs to meet environmental

requirements adopted in nations around the world by choosing the lowest life cycle cost.

Among many of the alternatives regarding their products include, alternative

system/product operational, utilization, and environmental profiles; alternative system

maintenance concepts and logistics support policies; alternative product design

configurations, such as Design for (Recycling, Reuse, & Remanufacturing ); alternative

material selection, such as ( steel or aluminum) in a car body; alternative procurement

sources and the selection of a supplier for a given item; alternative production

approaches; alternative product distribution channels; alternative product disposal and

recycling methods and so on.

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75

LCCA may be accomplished in addressing a wide variety of problems at different

stages of the product life cycle. In any event, the accomplishment of LCCA is iterative,

ongoing, and must be “tailored” to the specific application. Regardless of the application,

however, there are a series of general steps that are usually followed , even though the

depth of coverage will vary.

First of all, the problem necessitating the LCCA application must be well defined;

followed by the identification of all feasible alternatives; then develop Cost Breakdown

Structure (CBS) of each alternative to be evaluated; estimate cost, the cost estimation

must be made in strict relationship with cost breakdown structure; to evaluate each

alternative cost profiles must be developed for each alternative; identify high cost

contributor, perform sensitivity analysis of the high cost contributors and see the effect of

its variation to the total life-cycle cost, and finally recommend the preferred approach

based on the outcome of the LCCA.

The model incorporates four models which have been collected from literature

namely, research & development, production & construction, operation & maintenance,

and retirement & disposal. Due to the natural differences exist in different

system/product, it is impossible to generalize the model; However, by making some

modification to cost categories and by following the steps developed, it is possible to

match the model to any application desired.

The acquisition of the right type of input data in a timely manner is one of the

most important steps in the overall LCCA process. However, lack of reliable information

and data on life cycle performance which are often missing for many components and

systems (data on maintenance, lifespan, replacement regimes, performance and time

aspects of operation, recycling, remanufacturing, disposal etc) is one of the reasons

hampering the implementation of LCCA.

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76

It is worth mentioning that proper data collection for performing LCCA is

difficult if not impossible for academic projects, and hence the cost figures shown are

collected from documented case studies for validation purpose. The objective here is to

convey the overall approach used in the LCCA model.

The model is simplified for usage in the form of ExcelTM in such away the analyst

can easily input data into tables and generate outputs using Excel Charts. The software

contains input data collection sheets, alternative evaluation tables, cost contribution

sheets, and sensitivity analysis tables.

The example shown in Chapter 4, illustrates the application of LCCA in

automotive industry to support a design decision where two design configurations are

being evaluated. The objective was to select the design configuration that will fulfill the

lowest life cycle cost (LCC).

The CBS of two different design configurations are presented in Table 4.3. The

categories identified indicate cost collection points which can be summarized upward

into broader categories and/or can be collected for different program functions or system

elements. The intent is to incorporate a high degree of flexibility in order to provide the

necessary visibility for cost allocation, cost measurement, and cost control. This cost

breakdown structure can be applied to a variety of programs; however, the depth of

coverage may vary depending on the emphasis desired.

The evaluation itself address two candidate systems, each of which meets the

specified performance and effectiveness requirements and fall with the allocated budget.

However, each configuration exhibits different performance and effectives and the

objective is to select the best in terms of Life Cycle Cost.

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77

In evaluation of alternatives a similar profile may be developed for each project

being considered, and the various alternative projects in question are then reviewed in

terms of selecting a preferred approach. The profiles in Figure 4.3 represents the cost

streams of different activities of the two designs “A” and “B” projected over the life

cycle years. This is a budgetary estimate covering future resource needs of design

configurations “A” and “B”.

Figure 4.4 reflects the output of table 4.3 above, where constant dollar estimates

are summarized under the major cost categories in the CBS. A comparison of costs in

design “A” and “B” cane be made in terms of the percent contribution of each major

category to the total. Categories where the percent contribution is relatively high should

be broken down into the different sub categories included therein, and high cost areas

should be investigated further in order to determine the causes. The breakout of costs in

this fashion not only allows for a comparison of different activities for a given

system/product configuration, but also facilitates the direct comparison with other

systems where costs are presented in a like manner.

When reviewing different profiles the analyst should not only look at the

quantitative life cycle cost figures of merit developed by summing the costs reported

through the CBS (refer to Table 4.3), but the analyst should also address the time impact

of costs i.e. time value of money. The individual cost projections for each alternative

must be discounted to the present value. Example of the two design configuration “A” &

“B” of Table 4.3 discounted with 10 % discount factor are presented in Table 4.4.

Present value calculations can be simplified using standard interest tables in (Appendix

A) and by multiplying the future sum by the appropriate factor.

Referring to Figure 4.4, the results of this analysis support design “A” as the

preferred configuration on the basis of life cycle cost. Note that the research and

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78

development (R & D) cost is higher for design “A”; however, the overall life cycle cost is

lower due to a significantly lower operation and maintenance (O & M) cost. This would

tend to indicate that the equipment design for reliability, relative to Design “A”, is

somewhat better. Although this increased reliability results in higher R & D, the

anticipated quantity of maintenance actions is lower resulting in lower O & M costs. The

reliability characteristics in equipment design have a tremendous effect on life cycle.

When completing life cycle cost analysis, there may be a few key parameters

about which the analyst is very uncertain due to inadequate input data, initial

assumptions, pushing the state-of-art, or any combination of factors. In view of the

possible inaccuracies associated with the input data, the analyst may wish to perform a

sensitivity analysis to determine the effects of input parameter variations on the life cycle

cost analysis output. The analyst should determine how much variation can be tolerated

before the decision shifts in favor of design “B”. The analyst should select the high cost

contributors (those which contribute more than 10% of the total cost); determine the

cause and effect relationships; and identify the various input data factors that directly

impact cost.

The model has a built in sensitivity analysis where iterative process is used to

change one variable at a time while holding the rest constant, this is done using scenario

manager in Excel. This is a what-if model that includes variable cells linked together by

one or more formulas. For example, How sensitive is the result of life-cycle cost to

variation of interest rate which is independent variable. The result is shown in the

scenario report in Table 4.5, the result still favors design “A” as the preferred

configuration due to its lower LCC.

While the tool assists SMEs meet environmental legislations by manufacturing

products that satisfy economic and environmental needs, it also supports the decision

making process when buying equipments were emphasize is not given to initial

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purchasing price but the overall life cycle cost. This was the primary use of LCCA for

military equipment procurement such as airplane, because the support and maintenance

cost is high compared to initial price.

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CHAPTER 6

CONCLUSIONS AND OPPORTUNITY FOR FURTHER STUDY

Literature increasingly emphasizes that rapid technological change and shortened

life cycles have made product life cycle cost analysis critical to organizations (Ray and

Schlie, 1993; Barfield et al., 1994; Murthy and Blischke, 2000). Paying attention to

economic and environmental challenges, life cycle cost analysis is expected to assist

manufacturing firms;

• To assess better the effectiveness of planning by comparing actual with budgeted

life cycle costs as well as the distribution of those costs (Clinton and Graves,

1999).

• To enhance their capacity to make better pricing decisions (Adamany and

Gonsalves, 1994).

• To improve the assessment of product profitability (Hansen and Mowen, 1992).

• To aid in the design of more environmentally desirable products (Kreuze and

Newell, 1994; Madu et al., 2002).

• To focus on post-sale factors that have become a larger percentage of life cycle

costs, including warranty, cost of parts, service and maintenance, as well as being

increasingly important to customers in their purchasing decisions (Shields and

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Young, 1991; Murthy and Blischke, 2000), and many others.

The fact that LCCA is based on the life-cycle approach means that this instrument

has a primary role in precisely the design context; it is particularly appropriate in elation

to life cycle design, with which it has a common basis. Production costs as well as those

incurred in the phases of use and disposal are, in fact, strongly conditioned by the first

design choices, and this renders LCCA a valuable instrument for managing conflicts and

identifying the most effective trade-off strategies and interventions.

This study presents a simplified LCCA tool that can assist SMEs in the decision-

making process when comparing different design alternatives, different material

alternatives, different manufacturing approaches, and different support policies, etc of

their products. ExcelTM is developed in such a way that minor modifications of the

model can lead to many other applications.

There are some areas where this study did not cover but necessary for efficient

LCCA tool. Specifically, future work should be employed in the following areas;

(a) Cost estimates are not incorporated within the model, and therefore requires

separate calculations using the equations developed. Hence, further work is

necessary to develop built-in equations that can perform estimates automatically.

(b) A detailed cost description of End-of-Life cost categories was not presented in

this study due to luck of data and information regarding the factors involved in

their estimates. Future work is necessary to identify a detailed CBS of retirement

and disposal costs and their estimating equations, so that cost related to recycling

and remanufacturing of a product can be calculated easily.

(c) Even though LCCA provide us information about the alternative with the lowest

overall life-cycle cost, but it fails to provide information regarding the

environmental impacts on selecting the alternative. Nowadays, separate tool

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82

called life cycle assessment (LCA) is used to perform such analysis. Therefore,

future work should be focused on integrating the LCCA with the available Life

Cycle Assessment (LCA) tools. This will give further insight to both economic as

well environmental impacts of the design decision.

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APPENDIX A

INTEREST FACTOR TABLES

Present Value of $1 to Be Paid in the FuturePresent Value of $1 to Be Paid in the FuturePresent Value of $1 to Be Paid in the FuturePresent Value of $1 to Be Paid in the Future

Years 3.00% 3.50% 4.00% 4.50% Years 5.00% 5.50% 6.00% 6.50%

1 $0.97 $0.97 $0.96 $0.96 1 $0.95 $0.95 $0.94 $0.94

2 $0.94 $0.93 $0.92 $0.92 2 $0.91 $0.90 $0.89 $0.88

3 $0.92 $0.90 $0.89 $0.88 3 $0.86 $0.85 $0.84 $0.83

4 $0.89 $0.87 $0.85 $0.84 4 $0.82 $0.81 $0.79 $0.78

5 $0.86 $0.84 $0.82 $0.80 5 $0.78 $0.77 $0.75 $0.73

6 $0.84 $0.81 $0.79 $0.77 6 $0.75 $0.73 $0.70 $0.69

7 $0.81 $0.79 $0.76 $0.73 7 $0.71 $0.69 $0.67 $0.64

8 $0.79 $0.76 $0.73 $0.70 8 $0.68 $0.65 $0.63 $0.60

9 $0.77 $0.73 $0.70 $0.67 9 $0.64 $0.62 $0.59 $0.57

10 $0.74 $0.71 $0.68 $0.64 10 $0.61 $0.59 $0.56 $0.53

11 $0.72 $0.68 $0.65 $0.62 11 $0.58 $0.55 $0.53 $0.50

12 $0.70 $0.66 $0.62 $0.59 12 $0.56 $0.53 $0.50 $0.47

13 $0.68 $0.64 $0.60 $0.56 13 $0.53 $0.50 $0.47 $0.44

14 $0.66 $0.62 $0.58 $0.54 14 $0.51 $0.47 $0.44 $0.41

15 $0.64 $0.60 $0.56 $0.52 15 $0.48 $0.45 $0.42 $0.39

16 $0.62 $0.58 $0.53 $0.49 16 $0.46 $0.42 $0.39 $0.37

17 $0.61 $0.56 $0.51 $0.47 17 $0.44 $0.40 $0.37 $0.34

18 $0.59 $0.54 $0.49 $0.45 18 $0.42 $0.38 $0.35 $0.32

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19 $0.57 $0.52 $0.47 $0.43 19 $0.40 $0.36 $0.33 $0.30

20 $0.55 $0.50 $0.46 $0.41 20 $0.38 $0.34 $0.31 $0.28

21 $0.54 $0.49 $0.44 $0.40 21 $0.36 $0.32 $0.29 $0.27

22 $0.52 $0.47 $0.42 $0.38 22 $0.34 $0.31 $0.28 $0.25

23 $0.51 $0.45 $0.41 $0.36 23 $0.33 $0.29 $0.26 $0.23

24 $0.49 $0.44 $0.39 $0.35 24 $0.31 $0.28 $0.25 $0.22

25 $0.48 $0.42 $0.38 $0.33 25 $0.30 $0.26 $0.23 $0.21

Years 7.00% 7.50% 8.00% 8.50% Years 9.00% 9.50% 10.00% 10.50%

1 $0.93 $0.93 $0.93 $0.92 1 $0.92 $0.91 $0.91 $0.90

2 $0.87 $0.87 $0.86 $0.85 2 $0.84 $0.83 $0.83 $0.82

3 $0.82 $0.80 $0.79 $0.78 3 $0.77 $0.76 $0.75 $0.74

4 $0.76 $0.75 $0.74 $0.72 4 $0.71 $0.70 $0.68 $0.67

5 $0.71 $0.70 $0.68 $0.67 5 $0.65 $0.64 $0.62 $0.61

6 $0.67 $0.65 $0.63 $0.61 6 $0.60 $0.58 $0.56 $0.55

7 $0.62 $0.60 $0.58 $0.56 7 $0.55 $0.53 $0.51 $0.50

8 $0.58 $0.56 $0.54 $0.52 8 $0.50 $0.48 $0.47 $0.45

9 $0.54 $0.52 $0.50 $0.48 9 $0.46 $0.44 $0.42 $0.41

10 $0.51 $0.49 $0.46 $0.44 10 $0.42 $0.40 $0.39 $0.37

11 $0.48 $0.45 $0.43 $0.41 11 $0.39 $0.37 $0.35 $0.33

12 $0.44 $0.42 $0.40 $0.38 12 $0.36 $0.34 $0.32 $0.30

13 $0.41 $0.39 $0.37 $0.35 13 $0.33 $0.31 $0.29 $0.27

14 $0.39 $0.36 $0.34 $0.32 14 $0.30 $0.28 $0.26 $0.25

15 $0.36 $0.34 $0.32 $0.29 15 $0.27 $0.26 $0.24 $0.22

16 $0.34 $0.31 $0.29 $0.27 16 $0.25 $0.23 $0.22 $0.20

17 $0.32 $0.29 $0.27 $0.25 17 $0.23 $0.21 $0.20 $0.18

18 $0.30 $0.27 $0.25 $0.23 18 $0.21 $0.20 $0.18 $0.17

19 $0.28 $0.25 $0.23 $0.21 19 $0.19 $0.18 $0.16 $0.15

20 $0.26 $0.24 $0.21 $0.20 20 $0.18 $0.16 $0.15 $0.14

21 $0.24 $0.22 $0.20 $0.18 21 $0.16 $0.15 $0.14 $0.12

22 $0.23 $0.20 $0.18 $0.17 22 $0.15 $0.14 $0.12 $0.11

23 $0.21 $0.19 $0.17 $0.15 23 $0.14 $0.12 $0.11 $0.10

24 $0.20 $0.18 $0.16 $0.14 24 $0.13 $0.11 $0.10 $0.09

25 $0.18 $0.16 $0.15 $0.13 25 $0.12 $0.10 $0.09 $0.08

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Years 11.00% 11.50% 12.00% 12.50% Years 13.00% 13.50% 14.00% 14.50%

1 $0.90 $0.90 $0.89 $0.89 1 $0.88 $0.88 $0.88 $0.87

2 $0.81 $0.80 $0.80 $0.79 2 $0.78 $0.78 $0.77 $0.76

3 $0.73 $0.72 $0.71 $0.70 3 $0.69 $0.68 $0.67 $0.67

4 $0.66 $0.65 $0.64 $0.62 4 $0.61 $0.60 $0.59 $0.58

5 $0.59 $0.58 $0.57 $0.55 5 $0.54 $0.53 $0.52 $0.51

6 $0.53 $0.52 $0.51 $0.49 6 $0.48 $0.47 $0.46 $0.44

7 $0.48 $0.47 $0.45 $0.44 7 $0.43 $0.41 $0.40 $0.39

8 $0.43 $0.42 $0.40 $0.39 8 $0.38 $0.36 $0.35 $0.34

9 $0.39 $0.38 $0.36 $0.35 9 $0.33 $0.32 $0.31 $0.30

10 $0.35 $0.34 $0.32 $0.31 10 $0.29 $0.28 $0.27 $0.26

11 $0.32 $0.30 $0.29 $0.27 11 $0.26 $0.25 $0.24 $0.23

12 $0.29 $0.27 $0.26 $0.24 12 $0.23 $0.22 $0.21 $0.20

13 $0.26 $0.24 $0.23 $0.22 13 $0.20 $0.19 $0.18 $0.17

14 $0.23 $0.22 $0.20 $0.19 14 $0.18 $0.17 $0.16 $0.15

15 $0.21 $0.20 $0.18 $0.17 15 $0.16 $0.15 $0.14 $0.13

16 $0.19 $0.18 $0.16 $0.15 16 $0.14 $0.13 $0.12 $0.11

17 $0.17 $0.16 $0.15 $0.14 17 $0.13 $0.12 $0.11 $0.10

18 $0.15 $0.14 $0.13 $0.12 18 $0.11 $0.10 $0.09 $0.09

19 $0.14 $0.13 $0.12 $0.11 19 $0.10 $0.09 $0.08 $0.08

20 $0.12 $0.11 $0.10 $0.09 20 $0.09 $0.08 $0.07 $0.07

21 $0.11 $0.10 $0.09 $0.08 21 $0.08 $0.07 $0.06 $0.06

22 $0.10 $0.09 $0.08 $0.07 22 $0.07 $0.06 $0.06 $0.05

23 $0.09 $0.08 $0.07 $0.07 23 $0.06 $0.05 $0.05 $0.04

24 $0.08 $0.07 $0.07 $0.06 24 $0.05 $0.05 $0.04 $0.04

25 $0.07 $0.07 $0.06 $0.05

25 $0.05 $0.04 $0.04 $0.03

Years 15.00%

1 $0.87

2 $0.76

3 $0.66

4 $0.57

5 $0.50

6 $0.43

7 $0.38

8 $0.33

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9 $0.28

10 $0.25

11 $0.21

12 $0.19

13 $0.16

14 $0.14

15 $0.12

16 $0.11

17 $0.09

18 $0.08

19 $0.07

20 $0.06

21 $0.05

22 $0.05

23 $0.04

24 $0.03

25 $0.03