bansilal ramnath agarwal charitable trust’s vishwakarma ...design marketing research plan for...

Vishwakarma Institute of Technology Issue 01 : Rev No. 1 : Dt. 01/07/18

Structure and syllabus of B. Tech. Industrial Engineering. Pattern D-19, A.Y. 2019-20 (P a g e | 1)

Bansilal Ramnath Agarwal Charitable Trust’s

Vishwakarma Institute of Technology (An Autonomous Institute affiliated to Savitribai Phule Pune University)

Structure & Syllabus of

B. Tech. (Industrial Engineering)

Pattern ‘D19’

Effective from Academic Year 2019-20

Prepared by: - Board of Studies in Industrial & Production Engineering



Final Year B. Tech. Industrial Engineering AY 2019-20 (D19)

Subject

No. Subject

Code Subject Name Teaching Scheme

(Hrs/Week) Examination scheme Credits

Theory Lab CA MSE GD/ PPT

ESA Total

HA LAB ESE VIVA

S1 IE4007 Optimization Techniques 3 2 10 30 15 10 15 20 100 4

S2 IE4101 Human Factors Engineering 3 2 10 30 15 10 15 20 100 4

S3 IE4010 Project Management 3 2 10 30 15 10 15 20 100 4

S4 IP4074 Major Project 1 -- 8 10 30 15 10 15 20 100 4

OR

S1

IE4071 Industry Internship -- -- -- -- -- -- -- -- --

16 IE4072 Research Internship -- -- -- -- -- -- -- -- --

IE4073 Global Internship -- -- -- -- -- -- -- -- --

IE4076 Project Internship -- -- -- -- -- -- -- -- --

Total 9 14 16



Subject

No. Subject

Code Subject Name Teaching Scheme

(Hrs/Week) Examination scheme Credits

Theory Lab CA MSE GD/ PPT

ESA Total

HA LAB ESE VIVA

S1

IE4071 Industry Internship -- -- -- -- -- -- -- --

16 IE4072 Research Internship -- -- -- -- -- -- -- --

IE4073 Global Internship -- -- -- -- -- -- -- --

IE4076 Project Internship -- -- -- -- -- -- -- --

OR

S1 IE4007 Optimization Techniques

3 2 10 30 15 10 15 20 100 4 #IE4009 Marketing Management

S2 IE4101 Human Factors Engineering

3 2 10 30 15 10 15 20 100 4 #IE4012 Data Analytics

S3 IE4010 Project Management

3 2 10 30 15 10 15 20 100 4 #IE4011 Financial Management & Costing

S4 IE4074 Major Project 1

-- -- -- -- -- -- -- -- 100 4 #IE4086 Major Project 2

Total 9 14 16

(#) Courses in Second semester for those students who do not opt for Semester Internship



FF No. : 654

IE4007::OPTIMIZATION TECHNIQUES

Credits: 04 Teaching Scheme: Theory 3 Hours / Week

Lab: 2 Hours/week

SECTION-I

1. Introduction & Formulation of LP Model OR methodology, Definition of OR,

Application of OR to engineering and Managerial problems, Features of OR models,

Limitation of OR, formulation LPP Models. Definition, mathematical formulation,

standard form, solution space, solution – feasible, basic feasible, optimal, infeasible,

multiple, optimal, Redundancy, Degeneracy. Graphical and simplex methods. Variants of

simplex algorithm – Artificial basis techniques, Big M Method.

2. Queuing Theory & Simulation:: Introduction, terminology, Customer Behaviors,

Different Queuing Models, ( M /M /1): (GD/∞/∞) Model, , ( M /M /1): (GD/N/∞) Model, (

M /M /1): (GD/ N / N) Model, ( M /M /C): (GD/∞/∞) Model ( M /M /C): (GD/N/∞)

Model, ( M /M /C): (GD/ N / N) Model, Tandem queuing concept- M/Ek/1 Model.

Definition, Introduction to Monte Carlo Simulation., Application, Different Problems

solved using Monte Carlo Simulation, Using Applications of Simulation, Generation of

Random Numbers. Simulation software, Building Model on Simulation Software,

Running the simulation, Understanding the results.

3. Game Theory -Introduction, two -person zero sum game, minimax and maximin

principle, saddle point, methods for solving game problems with mixed strategies,

Graphical and iterative methods, solving game by LP Method.

SECTION-II

1. Integer Programming And Dynamic Programming - Integer Programming: Branch &

bound, cutting plane method, Dynamic Programming: Introduction, application, capital

budgeting, different problems solved by dynamic programming

2. Decision Making tools & Multi criteria Decision Making Tools: Decision Tree – Logic.

Decision making under risk (EMV criteria) and Decision making under certainty &

uncertainty. Goal Programming-Definition, Introduction, Problems. SAW, WPM,

TOPSIS, Electrethee, Promethee.

3. Replacement Analysis & Non linear Programming methods - Replacement of capital

equipments that deteriorates with time, time value of money (a) remains same (b) changes

with constant rates during period. Equipment renewal policy, group and individual

replacement. Individual Replacement, Group Replacement Policies, Problems & Non

linear Programming methods- Kuhn Tucker, Lagrangian method.



List of Practicals: 1. Assignment on Sensitivity Analysis in Linear Programming Problems

2. Assignment on duality

3. Assignment based on queuing theory

4. Assignment based on Multi stage queuing Model

5. Assignment based on Game theory- graphical method

6. Assignment based on Game theory- dominance property

7. Assignment on Integer programming using branch and bound method

8. Assignment based on Dynamic programming

9. Assignment on decision tree and on decision making tools.

10. Assignment on MCDM

11. Assignment based on replacement models

12. Assignment based on Non linear Programming methods

Project work based in: 1) Queuing theory

2) Replacement analysis

3) Linear programming applications

4) Simulation modeling

5) Game theory

6) Goal programming

7) Integer programming

8) Dynamic programming

9) Decision making tree

10) Non linear programming

11) Tandem queuing

12) Monte Carlo Simulation

Text Books:

1. Taha H A Operation Research and Introduction 9th Edition Pearson Education 2014

2. Gupta & Hira Operations Research Revised Edition Chand & Co. 2007

3. Paneerselvam Operations Research Second Edition Prentice Hall of India 2009

Reference Books: 1. Hiller and Libermann Introduction to Operation Research 9th Edition McGraw Hill 2011

2. S.D. Sharma Operations Research 15th Edition Kedarnath, Ramnath& Co

3. J K Sharma Operations Research 3rd edition Laxmi Publications 2009

Course Outcomes:

The student will be able to –

1. Formulate a linear programming model and solve it optimally

2. Formulate a real life queuing problem and generate optimal solutions

3. Simulate various real life problems and generate optimal solutions

4. Analyze the replacement policies for manufacturing and service sector

5. Develop integer solution for the real life problem by applying various methods

6. Divide a complex problem into no of stages and solve it optimally



FF No. : 654

IE4009:: MARKETING MANAGEMENT

Credits: 04 Teaching Scheme: Th 3 Hrs/Wk + Lab: 2 Hrs/wk

SECTION-I

Concepts of Marketing Definition of Marketing, Core marketing concepts, Marketing Management philosophies,

Micro and Macro Environment, Characteristics affecting Consumer behavior, Types of buying

decisions, buying decision process, Classification of consumer products, Market Segmentation

Marketing Information Systems And Research Components of marketing information system–benefits & uses marketing research system,

marketing research procedure, Demand Estimation research, Test marketing, Segmentation

Research - Cluster analysis, Discriminate analysis. Sales forecasting: objective and subjective

methods

Marketing of Industrial Goods

Nature and importance of the Industrial market, classification of industrial products,

participants in the industrial buying process, major factors influencing industrial buying

behavior, characteristics of industrial market demand. Determinants of industrial market

demand Buying power of Industrial users, buying motives of Industrials users, the industrial

buying process, buying patterns of industrial users.

SECTION-II

1. Product Management The concept of a product, features of a product, classification of products, product policies –

product planning and development, product line, product mix – factors influencing change in

product mix, product mix strategies, meaning of “New – product; major stages in new –

product development product life cycle.

2. Branding

Reasons for branding, functions of branding features of types of brands, kinds of brand name

3. Pricing Policies

Importance of Price, pricing objectives, factors affecting pricing decisions, procedure for price

determination, kinds of pricing, pricing strategies and decisions,

4. Advertising and Sales Promotion Objectives of advertisement function of advertising, classification of advertisement copy,

advertisement media – kinds of media, advantages of advertising. Objectives of sales

promotion, advantages sales promotion,

5. Packaging Meaning, growth of packaging, function of packaging, kinds of packaging

List of Practical: -

Student will do exercises or case studies based on following topic

1. Analysis of Factors affecting Consumer behavior

2. Identification of variables for market segmentation

3. Components of marketing information system

4. Cluster analysis for Market Research



5. Questionnaire design for collecting primary data for Market Research

6. Case study on Marketing of Industrial Goods

7. Case study on Product Line Management

8. Product life cycle analysis

9. Case study on Product Promotion strategies

10. Case study on Pricing policies

11. Case study on Labeling & Packaging

12. Case study on Branding

List of Projects

Students will perform following projects

1. Consumer Behavior Analysis

2. Market Segmentation Analysis

3. Exploratory Research for Market Competition Analysis

4. STP (Segmentation, Target, Positioning) Analysis

5. Analysis of B2B Marketing

6. Forecasting for Market Analysis

7. Designing Marketing Information System

8. Designing Product Promotion Mix

9. Pricing Policy Impact Analysis

10. Data collection & analysis for Market Research

11. Cluster Analysis for Market Segmentation

12. Market Analysis for New product development

Text Books:

1. Philip Kotler, Principles of Marketing Prentice – Hall.

2. Philip Kotler, Marketing Management Prentice – Hall.

Reference Books:

1. Wiliam J Stanton Fundamentals of Marketing McGraw Hill

2. R.S.N. Pillai and Mrs. Bagavathi Marketing S. Chand & Co. Ltd

Course Outcomes:

Students will be able to:

1. Understand basic marketing management concepts and their relevance to business

development

2. Prepare a questionnaire for market research

3. Understand consumer & industrial buying decision process & motives.

4. Understand the concept of product management and branding in context of consumer and

industrial products

5. Design marketing research plan for business organizations.

6. Optimize marketing mix to get competitive advantage



FF No. : 654

IE4101::HUMAN FACTORS ENGINEERING


Lab: 2 Hours/week

SECTION-I

1. Introduction to Human Factors Engineering -Human Factors Engineering – Definition

and scope, objectives, history, human-machine system, characteristics of human-machine

system, need for application of Human Factors Engineering in industry and society

2. Applied Anthropometry and Work Place Design- Introduction to Anthropometry, type

of dimensions, use of anthropometry data, Principles in the application of anthropometric data,

work spaces, work space envelopes, design of work space, science of seating,. Principles of

seat design, design of work surfaces, principles of arranging components, types of controls,

factors in control design, location of controls and displays within work space

3. Information Input and Processing - Design and Displays: Information input and

processing, visual displays of static and dynamic information. Auditory, textual & olfactory

displays, concept of visibility Text, graphics, and symbols. Visual displays of dynamic

information, Auditory, Tactual and Olfactory Response

SECTION-II

4. Human output - Physical Work and manual material handling - Muscle mechanism,

BMR, MAP. Heart Rate variations, Oxygen consumption, Rest allowances, Rate of energy

expenditure, Manual Material Handling Capacity determination Effect of environmental

conditions and work design on Energy Expenditure. Motor Skills, Controls and Data Entry

devices

5. Environmental Conditions - Illumination: Measurement of light, color systems, energy

consideration, concept of visibility, effect of light on performance, Climate: Measurement of

thermal conditions, wet-bulb temperature, heat exchange process, heat stress, cold stress, wind

chill index, Noise: Physiological effect of noise on performance, noise exposure

6. Human Factors in System Design - Human error, accidents and safety, theories of

accident causation, factors contributing to accidents, designing a safe product, Human factors

application in system design, characteristics of system design process, Case studies on

application of human factors in system design

List of Lab Assignments

1. Review of research paper/case study on Ergonomic work place design

2. Review of research paper/case study on Ergonomic product design

3. Recording sound levels in various work environments



4. Recording light intensity in various work environments

5. Analysis of energy consumption in carrying out various manual tasks

6. Review of research paper/case study on Work related musculoskeletal disorders

7. Analysis of effect of postural variations on human effort in service sector industry using

WorkPro Software

8. Analysis of effect of postural variations on human effort in manufacturing sector using

WorkPro Software

9. Analysis of effect of temperature on human effort in service sector industry using

WorkPro Software

10. Analysis of effect of temperature variations on human effort in manufacturing sector using

WorkPro Software

11. Analysis of effect of temperature on human strength in service sector industry using

WorkPro Software

12. Analysis of effect of temperature variations on human strength in manufacturing sector

using WorkPro Software

List of Projects:

1. Design a work place by applying principles of Ergonomic design

2. Design a product by applying principles of Ergonomic design

3. Anthropometric Data Collection and Analysis

4. Applied Anthropometry–Work Place Design (Seating Workstation) using Ergo module of

WorkPro Software

5. Applied Anthropometry–Work Place Design (Standing Workstation) using Ergo module

of WorkPro Software

6. Analysing and quantifying human effort for carrying out manual work using Ergo module

of WorkPro Software in service sector industry


of WorkPro Software in manufacturing industry


of WorkPro Software in service sector industry

9. Design/study a visual display/auditory display used in practice by applying Ergonomic

design principles

10. Review of research paper/case study on Work related musculoskeletal disorders

11. Design aErgonomic work system by applying Human Factors Engineering using Ergo

module of WorkPro Software in service sector industry

12. Design a work system by applying Human Factors Engineering using Ergo module of

WorkPro Software in manufacturing sector

Text Books

1. M. S. Sanders and Ernest J. McCormick, Human Factors Engineering and Design, Seventh

edition, McGraw-Hill Inc.

Reference Books:

1. Maynards H B, Industrial Engineering Hand Book, third edition, New York and London,

McGraw- Hill



2. George Kanawaty, Introduction to Work Study, Fourth revised edition, Universal Book

Corporation, Bombay, International Labour Office, Geneva

Course Outcomes:


1. Understand need of applying Human Factors Engineering in industry & society

2. Design workplaces and products ergonomically by applying principles of design, work

physiology and anthropometry.

3. Understand information input and processing to design visual/auditory displays.

4. Evaluate and estimate human efficiency and by understanding work physiology

5. Design work environment by applying knowledge of Physiological effect of

environmental conditions on human performance.

6. Apply knowledge of Human Factors in Ergonomic system design



FF No. : 654

IE4012:: DATA ANALYTICS

Credits: 4 Teaching Scheme: Theory: 3 Hours / Week

Lab/Project: 2 Hours/Week

SECTION - I

Introduction to Data Science and Analytics

Introduction to big data:– Challenges of Conventional Systems - Intelligent data analysis –

Nature of Data - Analytic Processes and Tools - Analysis vs Reporting. Data in Engineering

and Management Research, Types of data, Measures of Frequency Distribution, Big data

Analytics (Apache Spark), Application Area: Finance, Time series Analysis, Advertisement,

NLP, IOT.

Introduction to Data Science in Python: Python Core Objects and built-in functions, Number Object and operations, String Object and

Operations, List Object and Operations, Tuple Object and operations, Dictionary Object and

operations, Set object and operations, Boolean Object and None Object, Different data

Structures, data processing Conditional Statements and Loops, UDF Functions and Object

Functions, File Handling with Python, Python Modules and Packages, Exceptional Handing

and Object-Oriented Python, Python OOPS.

Database System: Database interaction with Python Creating Database with MYSQL, CRUD Operations,

Creating a Database Object. Python MySQL Database Access Disconnecting Database,

Data Analytics Tool Spreadsheet, MLTool, BI Tools

SECTION - II

Machine Learning

Data Visualization - Matplotlib, Data Analysis Using Python Modules- Numpy,

Pandas,Tableau Machine Learning Algorithms Supervised Learning Regression Linear

Regression (Simple and Multiple) Logistic Regression.

Machine Learning Algorithms Supervised Learning Regression Linear Regression Multiple Linear Regression Bias-Variance

Trade-Off

Classification Modelling Logistic Regression, K-Nearest Neighbors (KNN), Simple Vector Machine (SVM), Decision

Trees o Ensemble Methods - Random Forest

Unsupervised Learning Clustering K-Means Clustering Hierarchical Clustering DBSCAN

.

List of Practical: (Use of Excel / R / Python / Minitab / SAS / SPSS/Google Data Studio)

1. Data analysis using Google data studio

2. Data analysis and visualization using Tableau



3. Estimation in Statistics

4. Test of significance for means

5. Test of significance for proportion

6. Test of significance for variance

7. Regression

8. Correlation

List of Project areas:

1. Questionnaire design in Marketing

2. Exploratory Research using secondary data from websites / magzines

3. Exploratory Research using primary data for canteen / hostel / flats

4. Descriptive Research

5. Data analysis in MS Excel

6 Discrete probability distributions in industry

7 Design of field surveys for food apps

8 Methods of sampling

9 Continuous probability distributions in industry

10 Sensex Analysis

11 Brent Crude Analysis

12 Corelation between various sectors

13 Forecasting of values

14 Academic result analysis

15 Developing small tools/programs in R/Python

Text Books:

1. Richard Johnson, Probability and Statistics for Engineers, Eighth edition, Prentice Hall of

India

2. Srivastava U.K., Shenoy G. V. and Sharma S.C, Quantitative Techniques for Managerial

Techniques, Third edition, New Age International Publishers

3. Krishnaswamy K. N., Sivakumar A.I. and Mathirajan M., Management Research

Methodology” Pearson publication

4. Kothari C. R., Research Methodology, Second Edition, New Age International Publishers

Reference Books:

1. Levin Richard and Rubin David, Statistics for Management, Prentice Hall of India

2. Murray Spiegel, Schiller John, Srinivasan R. A. and Goswami Debasree, Probability and

statistics (Schaum’s outline Series), Third Edition, McGraw Hill

3. Paneerselvam R., Research Methodology, Second Edition, Prentice Hall of India

4. Paneerselvam R., Design and Analysis of Experiments, Prentice Hall of India

Course Outcomes:

The student will be able to –

1. Explain the nature of research and data requirements

2. Calculate probability by selecting appropriate probability distribution for managerial

decisions



3. Estimate confidence interval

4. Perform test of significance for means and proportion

5. Perform test of significance for variance

6. Assess the appropriateness of different kinds of research designs and methodology



FF No. : 654

IE4010::PROJECT MANAGEMENT


Lab: 2 Hours/week

SECTION-I

Introduction:

Definition & Characteristics of Project, Performance Parameters: Time, Cost & Quality.

Difference with respect to Standard Routine Production. Classification of Projects: Sector

based, Investment based, Technology based, Causation based, Need based (BMERD) -

Balancing, Modernization, Replacement, Expansion & Diversification Project Life Cycle

Phases – Concept/Initiation Phase: Parameters Involved in Project Identification. Sources of

New Project Ideas. Governmental Framework for Identification of Opportunities, Incentives

from state & central govt.; Import-substitution projects

Project Conceptualization & Feasibility Analysis

Project Definition Phase: Project Formulation & Feasibility. Types of Feasibility Studies –

Pre-feasibility, Support/Functional, Feasibility Study. Preparation of Project Feasibility Report

& Specification; Aspects of Project Feasibility Managerial/Organization: Promoters

Background, Criteria of Evaluation, Marketing/Commercial: Demand & Supply, Competition,

Market Survey, Porter’s 5 Forces, Operational/Technical: Process, Technology, Location,

Capacity, Labour, Raw Material & Utility Availability. Financial: Cost of Project, Means of

Finance, Financial Projections – Profit & Loss Account, Balance Sheet, Funds Flow

Statement, Cash Flow Statement, Schedule of Fixed Assets, Schedule of Term Loans.

Socio-Economic: Socio-Cost Benefit Analysis. Effective Rate of Protection, Domestic

Resource Cost.

Project Planning, Implementation & Control

Planning & Organization Phase: Project Planning, Scheduling & Monitoring, Statement of

Works, Project Specifications, Work Breakdown Structure, Network Analysis & Duration

Estimating Network Diagrams – PERT/CPM, Estimate Activity Times, Milestone Scheduling.

Resource Leveling, Resource Smoothening, Project Crashing.

Project Organization & Management. Project Organization Structure, Role of Project

Manager.

SECTION-2

Project Cost Management

Project Cost Estimation: Need, Causes of Cost & Time Overruns. Nature of Cost Estimates,

Types of Project Cost Estimates, Estimation of Manpower & Utilities. Project Budgeting &

Control, Earned Value Management System: Concept of AC, PV, EV, Variances, etc.

Contract Management: Responsibility Sharing Matrix, Types of Contract Payments, Risk

Factors in Contracts – Contractor & Owner.

Project Management Information System and Control, Management Pitfalls.



Project Implementation & Control

Implementation Phase: Activities Involved: Erection & Commissioning, Installation, Trial

Runs & Commencement of Commercial Production. Cleanup/Shutdown Phase: Handover to

Client, Settlement of Accounts. Project Risk Management, Responsibility Sharing Matrix,

Critical Chain Project Management – Critical Path vs Critical Chain, Concept of Buffers –

Project buffer, resource buffer, feeding buffer.

Computer Applications in Project Planning & Control

Introduction to MS Projects – Understanding the MS Project screen & different views,

Defining the project, Working with calendar, Outline the project, Create dependencies

between tasks, Creating WBS, Format task list and Gantt chart, Resource planning, leveling

and preparing resource graph, Working with baseline, tracking the project.

Home Assignment on Exercise with MS Projects Software.

List of Experiments:

1. Preparation of Project Feasibility Report

a. Project Identification, Definition

b. Project Feasibility – Managerial/Organizational Perspective

c. Project Feasibility – Marketing, Exit Plan

d. Project Feasibility – Operational

e. Project Feasibility – Financial, Financial Projections

2. Assignment on Capital Budgeting – PBP, Discounted PBP, NPV, IRR, Annual Worth

3. Exercises, Cases on Networks: Calculation of Floats, Determination of Critical Path &

Project Duration

4. Exercises, Cases on Networks: Probabilistic Models

5. Exercises, Cases on Project Crashing

6. Exercises, Cases on Resource Leveling & Resource Smoothening

7. Exercises, Cases on Earned Value Management System

8. Exercises, Cases on Project Risk Management

9. Exercises, Cases on Critical Chain Project Management

10. Project Planning & Scheduling (Using MS Projects) 1 – Preparation of Statement of

Works, WBS

11. Project Planning & Scheduling (Using MS Projects) 2 – Network Diagram, Gantt Charts,

Costs & Resource Estimation

12. Project Planning & Scheduling (Using MS Projects) 2 – Project Monitoring

List of Course Project Areas:

1. Preparation of Project Feasibility Report for a New Startup

2. Capital Budgeting – PBP, Discounted PBP, NPV, IRR, Annual Worth

3. Work breakdown Structure

4. Networks: Probabilistic Models

5. Project Cost Estimation

6. Resource Planning

7. Earned Value Management System

8. Project Risk Management

9. Critical Chain Project Management

10. Project Planning & Scheduling (Using MS Projects)



Text Books

1. Narendra Singh; Project Management & Control; Himalaya Publishing House, Mumbai

2. S. Choudary, Project Management, Tata McGraw Hill

3. Prasanna Chandra; Project: Preparation, Appraisal, Budgeting & Implementation

4. Pinto, Project Management – Achieving Competitive Advantage & MS Projects, Pearson

Education

Reference Books

1. Maylor, Project Management, Pearson Education,

2. Gopal & Ramamurthy; Project Management Handbook; Macmilan.

3. Project Management Body of Knowledge

4. Practical Project Management by Ghatak & Sandra, Pearson Education (Singapore) Pte.

Ltd, 2001

5. Handbook on Project Appraisal & Follow-up, SARDA, Govind Prakashan,2001

Course Outcomes:


1. Learn the basic concepts of project and project management

2. Ascertain the feasibility of small and medium projects with respect to managerial,

marketing, operational, financial and socio-economic perspectives

3. Plan and schedule small and medium projects to achieve the triple constraint of time, cost

and quality using software package

4. Understand the concept of earned value management system and critical chain in

managing projects

5. Understand the concepts of project risk management and critical chain project

management

6. Monitor the progress of projects to determine variances and recommend corrective actions

using software package



FF No. : 654

IE4011::FINANCIAL MANAGEMENT & COSTING


Lab: 2 Hours/week

SECTION-I

1. Financial Statement Analysis- Nature and Scope of Finance Function; Financial goal

profit vs. wealth, Maximization; Scope and Functions of Financial Management, Financial

Planning and Forecasting. Budgets & Budgetary Control: Types of Budget, Preparation of

Budgets: Operational &Financial Budgets, Financing and Dividend decisions. Operating &

Financial Leverage, Types of accounts, Profit and Loss Account and Balance Sheet, Cash

Flow Statement

2. Capital Budgeting and ratio Analysis -Ratio Analysis Classification, Ratio Analysis and

its limitations. Types of Ratios, Activity Turnover, Profitability, Liquidity, etc., B: Common

Size Statement, Index Statement, Capital Budgeting - Nature of Investment decisions;

Investment evaluation criteria - Non-DCF& DCF Techniques, PBP, Discounted PBP, PI,

ARR, Annual Worth,

3. Working Capital Management - Meaning, significance and types of working capital;

calculating operating cycle period and estimation of working capital requirements; sources of

working capital, NPV and IRR comparison; Capital rationing. Various committee reports on

bank finance; Dimensions of working capital management

SECTION-II

4. Introduction to concept of Cost and Overheads- Cost, Cost Centre, Cost Unit, Elements

of Cost: Material Cost. Different methods of pricing of issue of materials Labour Cost: Direct

& Indirect cost, Different methods, Direct Expenses: Constituents and Significance, Prime

Cost, Classification: Production, Office & Administration, Selling & Distribution. Treatment

of Overheads: Collection of Overheads - Primary and Secondary Distribution of Overheads:

Absorption of Overheads: Machine hour, Labour hour rate, Under and Over Absorption of

Overheads, Preparation of Cost Sheet

5. Costing Methods - Job Costing, Unit Costing, Contract Costing, Process Costing, Activity

Based Costing Simple numerical on various methods of costing to enable ascertains cost of

product. Standard costing: Concept, Standard Cost, Standard costing. Calculation of Variance

Numerical on calculation of variances, Variance – Variance Analysis, Material variance,

Labour Variance, Overhead Variance

6. Marginal Costing and Break Even Analysis - Fixed& Variable (Marginal) Cost,

Marginal Cost. Applications of Marginal Costing in Decision-making: Product Mix, Profit

Planning, Make or Buy Decisions. Limiting Factor, Cost Volume Profit Analysis, Concept of

Break-Even, P/V Ratio and Margin of Safety



List of Practical:

1. Case study on sources of capital and working capital

2. Case study on assessment of working capital

3. Studying and understanding Financial Statements - Profit and Loss

4. Studying and understanding Financial Statements - Balance sheet

5. Studying and understanding various financial ratios used in practice

6. Studying and understanding various financial ratios for decision making

7. Case study on Analysis of published results of an organisation – Manufacturing

8. Case study on Analysis of published results of an organisation – Service industry

9. Prepare a cost sheet to estimate cost of any product

10. Prepare a cost sheet to estimate cost of any process

11. Case study on use Marginal Costing to determine Break Even Point and profitability

12. Case study on use Marginal Costing to determine profitability

List of Project areas:

1. Budgeting including sources of capital financing

2. Budgeting including sources of working capital finance

3. Preparation of Journal entries, Ledgers

4. Preparation Profit and Loss Account and Balance Sheet

5. Preparation of Balance Sheet

6. Ratio Analysis based on real life data from project on Profit and loss and Balance sheet

7. Compare Analysis of published results of organisations to enable investment decision

8. Apply Product Costing to estimate cost of any process used in practice

9. Apply Service Costing to estimate cost of any process used in practice

10. Apply Process Costing to estimate cost of any process used in practice

11. Apply Standard Costing to estimate cost of any process used in practice

12. Apply Marginal Costing to determine Break Even Point and profitability

Text Books

1. Prasanna Chandra, Financial Management– Theory and Practice, Edition 8, 2011, Tata

McGraw Hill Education,

2. B. K. Bhar, Cost Accounting– Methods and Problems, Academic Publishers,1980

3. M.Y. Khan and P K Jain, Financial Management: Text, Problems and Cases, Tata

McGraw Hill Education,

4. Amitabha Mukherjee and Mohammed Hani, Modern Accountancy, Edition 2, 2002, Tata

McGraw Hill Education

Reference Books

1. Paresh P. Shah, Financial Management, Reprint No. 2 2011, Biztantra, New Delhi,

2. S. N. Maheshwari, Introduction to Accountancy, Edition No. 11, 2013, Vikas Publishing

House P Ltd.

3. M. Y. Khan, P. K. Jain, Management Accounting –Text, Problems, Cases, Edition No.

Tata McGraw Hill Publishers, 2013



Course Outcomes:


1. Understand and analyze functions of financial management and budgeting, interpret

financial statements through accounting ratios

2. Understand the concepts of Capital Budgeting and Working Capital management for

effective financial management

3. Understand the mechanics of financial accounting for preparation of financial statements

to ascertain the performance and financial position of a business

4. Classify and apply different types of costs and overheads to ascertain costs of a product or

a process

5. Apply different types of costing methods and techniques according to the suitability for

various production processes and services.

6. Develop an ability of decision making about optimum product mix, profit planning, make

or buy, limiting factors based on marginal costing concept



FF No. : 654

IP4074::MAJOR PROJECT-1

Credits: 04 Teaching Scheme: - Lab 8 Hr/Week

The project work could be of the following nature:

1. Manufacturing /Fabrication of a prototype machine' including selection, concept,

design, material, manufacturing the components, assembly of components, testing and

performance evaluation.

2. Improvement of existing machine / equipment / process.

3. Design and fabrication of Jigs and Fixtures, dies, tools, special purpose equipment,

inspection gauges, measuring instruments for machine tools.

4. Computer aided design, analysis of components such as stress analysis.

5. Problems related to Productivity improvements.

6. Problems related to value engineering.

7. Problems relating to material handling system.

8. Energy Audit of organization, Industrial evaluation of machine devices.

9. Design of a test rig for performance evaluation of machine devices.

10. Product design and development.

11. Analysis, evaluation and experimental verification of any engineering problem

encountered.

12. Quality systems and management. Total Quality Management.

13. Quality improvements, In-process Inspection, Online gauging.

14. Low cost automation, Computer Aided Automation in Manufacturing.

15. Time and Motion study, Job evaluation.

16. Ergonomics and safety aspects under industrial environment

17. Management Information System.

18. Market Analysis in conjunction with Production Planning and Control.

OR

Fabrication of models, machines, prototypes based on new ideas, robots and machine

based on hitech systems and automation, experimental set-up, fabrication of testing

equipment, renovation of machines, etc. Computer based design / analysis or modeling /

simulation of product(s), mechanism(s) or system (s) and its validation or comparison with

available benchmarks / results. Modelling/simulation of product(s), mechanism(s) or

system(s) and its validation or comparison with available bench marks / results.

Design/development and Fabrication of models, machines, and prototypes based on new

ideas, robotic and automation systems, Experimental set ups, test rigs/ equipments.

The project work shall be taken up individually or in a group consisting of not more than 4

students.

A report containing maximum 30 pages shall be submitted based on the background, need

and scope of the project, project specifications, activities involved in the project and

activity plan, study of literature and basic theory, and work completed (if any).



Guidelines:

• Report shall be typed or printed.

• Figures and tables shall be on separate pages and attached at respective positions.

• Project title and approval sheets shall be attached at the beginning of the report

followed by index and synopsis of the project.

• References shall be mentioned at the end followed by appendices (if any).

• When a group of students is doing a project, names of all the students shall be

included on every certified report copy.

Each group of students shall submit two copies of reports to the institute and one copy

shall be prepared for each individual student.

Course Outcomes :


1. Survey literature for problem identification

2. Cultivate the habit of working in a team, communicate effectively and attempt a

problem solution in a right approach

3. Correlate the theoretical and experimental/simulations results and draw the proper

inferences.

4. Apply engineering knowledge in carrying out project starting from design, drafting,

process planning, project management, costing, manufacturing, QC and inspection,

down to assembly, testing and evaluation.

5. To practice data collection and analysis using different measurement equipment’s and

software packages.

6. Prepare project report as per guideline and present it effectively



FF No. : 654

IE4086::MAJOR PROJECT-2

Credits: 04 Teaching Scheme: - Lab 8 Hr/Week

The project work could be of the following nature:

1. Manufacturing /Fabrication of a prototype machine' including selection, concept,

design, material, manufacturing the components, assembly of components, testing and

performance evaluation.

2. Improvement of existing machine / equipment / process.

3. Design and fabrication of Jigs and Fixtures, dies, tools, special purpose equipment,

inspection gauges, measuring instruments for machine tools.

4. Computer aided design, analysis of components such as stress analysis.

5. Problems related to Productivity improvements.

6. Problems related to value engineering.

7. Problems relating to material handling system.

8. Energy Audit of organization, Industrial evaluation of machine devices.

9. Design of a test rig for performance evaluation of machine devices.

10. Product design and development.

11. Analysis, evaluation and experimental verification of any engineering problem

encountered.

12. Quality systems and management. Total Quality Management.

13. Quality improvements, In-process Inspection, Online gauging.

14. Low cost automation, Computer Aided Automation in Manufacturing.

15. Time and Motion study, Job evaluation.

16. Ergonomics and safety aspects under industrial environment

17. Management Information System.

18. Market Analysis in conjunction with Production Planning and Control.

OR

Fabrication of models, machines, prototypes based on new ideas, robots and machine

based on hitech systems and automation, experimental set-up, fabrication of testing

equipment, renovation of machines, etc. Computer based design / analysis or modeling /

simulation of product(s), mechanism(s) or system (s) and its validation or comparison with

available benchmarks/results. Modelling/simulation of product(s), mechanism(s) or

system(s) and its validation or comparison with available bench marks / results.

Design/development and Fabrication of models, machines, and prototypes based on new

ideas, robotic and automation systems, Experimental set ups, test rigs/ equipments.

The project work shall be taken up individually or in a group consisting of not more than 4

students.

A report containing maximum 30 pages shall be submitted based on the background, need

and scope of the project, project specifications, activities involved in the project and

activity plan, study of literature and basic theory, and work completed (if any).



Guidelines:

• Report shall be typed or printed.

• Figures and tables shall be on separate pages and attached at respective positions.

• Project title and approval sheets shall be attached at the beginning of the report

followed by index and synopsis of the project.

• References shall be mentioned at the end followed by appendices (if any).

• When a group of students is doing a project, names of all the students shall be

included on every certified report copy.

Each group of students shall submit two copies of reports to the institute and one copy

shall be prepared for each individual student.

Course Outcomes :


1. Survey literature for problem identification

2. Cultivate the habit of working in a team, communicate effectively and attempt a

problem solution in a right approach

3. Correlate the theoretical and experimental/simulations results and draw the proper

inferences.

4. Apply engineering knowledge in carrying out project starting from design, drafting,

process planning, project management, costing, manufacturing, QC and inspection,

down to assembly, testing and evaluation.

5. To practice data collection and analysis using different measurement equipment’s and

software packages.

6. Prepare project report as per guideline and present it effectively

bansilal ramnath agarwal charitable trust’s vishwakarma ...design marketing research plan for...

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