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    Chapter 3

    Network Planning

    3.1 Why Network Planning?

    Find the right balance between inventory,,

    Match supply and demand under uncertainty by

    positioning and managing inventory effectively, Utilize resources effectively by sourcing products

    from the most appropriate manufacturing facility

    3-2

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    Three Hierarchical Steps Network design

    Number, locations and size of manufacturing plants andwarehouses

    Assignment of retail outlets to warehouses Major sourcing decisions Typical planning horizon is a few years.

    Inventory positioning: Identifying stocking points Selecting facilities that will produce to stock and thus keep

    inventory Facilities that will produce to order and hence keep no inventory

    3-3

    Resource allocation: Determine whether production and packaging of different

    products is done at the right facility What should be the plants sourcing strategies? How much capacity each plant should have to meet seasonal

    demand?

    3.2 Network Design

    Physical configuration and infrastructure of the.

    A strategic decision with long-lasting effects on

    the firm. Decisions relating to plant and warehouse

    location as well as distribution and sourcing

    3-4

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    Reevaluation of Infrastructure

    Changes in:

    demand patterns

    pro uct m x

    production processes

    sourcing strategies

    cost of running facilities.

    Mergers and acquisitions may mandate the

    3-5

    Key Strategic Decisions

    Determining the appropriate number of facilities.

    Determining the location of each facility.

    Determining the size of each facility.

    Allocating space for products in each facility.

    Determining sourcing requirements.

    3-6

    , . .,allocation of customers to warehouse

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    Objective and Trade-Offs Objective: Design or reconfigure the logistics network in

    order to minimize annual system-wide cost subject to avar e y o serv ce eve requ remen s

    Increasing the number of warehouses typically yields: An improvement in service level due to the reduction in average

    travel time to the customers An increase in inventory costs due to increased safety stocks

    required to protect each warehouse against uncertainties incustomer demands.

    3-7

    An increase in overhead and setup costs A reduction in outbound transportation costs: transportation

    costs from the warehouses to the customers An increase in inbound transportation costs: transportation costs

    from the suppliers and/or manufacturers to the warehouses.

    Data Collection

    Locations of customers, retailers, existing warehousesand distribution centers, manufacturing facilities, andsupp ers.

    All products, including volumes, and special transportmodes (e.g., refrigerated).

    Annual demand for each product by customer location. Transportation rates by mode. Warehousing costs, including labor, inventory carrying

    charges, and fixed operating costs.

    3-8

    Shipment sizes and frequencies for customer delivery. Order processing costs. Customer service requirements and goals. Production and sourcing costs and capacities

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    General Rules for Aggregation

    Aggregate demand points into at least 200zones

    o s or cases w ere cus omers are c ass e n oclasses according to their service levels or frequencyof delivery

    Make sure each zone has approximately anequal amount of total demand

    Zones ma be of different eo ra hic sizes.

    3-11

    Place aggregated points at the center of thezone

    Aggregate products into 20 to 50 product groups

    Customer AggregationBased on 3-Digit Zip Codes

    , ,

    Total Customers: 18,000

    , ,

    Total Customers: 800

    3-12

    Cost Difference < 0.05%

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    Product Aggregation

    Total Cost:$104,564,000 Total Cost:$104,599,000

    3-13

    Cost Dif ference: 0.03%

    Transportation Rates

    Rates are almost linear with distance but not

    Differences between internal rate (owned truck)

    and external rate (rented truck)

    3-14

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    Internal Transportation Rate For company-owned trucks

    a a equ re :

    Annual costs per truck

    Annual mileage per truck

    Annual amount delivered

    Trucks effective capacity

    3-15

    a cu a e cos per m e per .

    External Transportation Rate forTwo Modes of Transportation

    Truckload, TL- .

    except for: Big states, such as Florida or New York (two zones)

    Zone-to-zone costs provides cost per mile pertruckload between any two zones.

    =

    3-16

    Illinois-Massachusetts cost per mile X Chicago-Boston distance

    TL cost structure is not symmetric

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    Less-Than-Truck load, LTL Class rates

    standard rates for almost all products or commodities shipped.

    External Transportation Rate for

    Two Modes of Transportation

    Classification tariff system that gives each shipment a rating or aclass.

    Factors involved in determining a products specific class include: product density, ease or difficulty of handling and transporting, and liabil ity

    for damage.

    After establishing rating, identify rate basis number. Approximate distance between the loads origin and destination.

    With the two, determine the specific rate per hundred pounds

    3-17

    , . .,rate table).

    Exception rates provides less expensive rates Commodity rates are specialized commodity-specific

    rates

    Ex) SMC3s CzarLite

    Engine to find transportation rates in fragmented

    Nationwide LTL zip code-based rate system.

    Offers a market-based price list derived fromstudies of LTL pricing on a regional,interregional, and national basis.

    3-18

    a r pr c ng sys em

    Often used as a base for negotiating LTLcontracts between shippers, carriers, and third-party logistics providers

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    Transportation Rate for Shipping4,000 lbs.

    3-19

    FIGURE 3-7: Transportation rates fo r shipping 4,000 lb

    Mileage Estimation

    Estimate lona and lata, the longitude and latitude

    Distance between a and b

    For short distances2 2

    )69 ( ( )a b a b a blo nD lo n la t la t

    3-20

    1 2 2) ))) ))2(69) sin (sin( cos( cos( (sin(

    2 2

    a b a b

    ab a X b X

    lat lat lon lonD lat lat

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    Circuity Factor,

    Equations underestimate the actual road.

    Multiply Dab by .

    Typical values:

    = 1.3 in metropolitan areas

    = 1.14 for the continental United States

    3-21

    Chicago-Boston Distance

    lonChicago = -87.65 latChica o = 41.85 lonBoston = -71.06 lonBoston = 42.36

    DChicago, Boston = 855 miles Multiply by circuity factor = 1.14 Estimated road distance = 974 miles Actual road distance = 965 miles

    3-22

    GIS systems provide more accuracy Slows down systems Above approximation good enough!

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    Warehouse Costs

    Handling costs Labor and utility costs

    .

    Fixed costs All cost components not proportional to the amount of

    flow

    Typically proportional to warehouse size (capacity)but in a nonlinear way.

    3-23

    Inventory holding costs

    Proportional to average positive inventory levels.

    Determining Fixed Costs

    3-24

    FIGURE 3-8: Warehouse fixed cos ts as a func tion of thewarehouse capacity

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    Determining Storage Costs Multiply inventory turnover by holding cost

    nven ory urnover =

    Annual Sales / Average Inventory Level

    3-25

    Warehouse Capacity

    Estimation of actual space required

    Avera e inventor level =

    Annual flow through warehouse/Inventory turnover ratio

    Space requirement for item = 2*Average Inventory Level

    Multiply by factor to account for access and handling

    aisles,

    picking, sorting and processing facilities

    3-26

    AGVs

    Typical factor value = 3

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    Service Level Requirements Specify a maximum distance between each

    Proportion of customers whose distance to theirassigned warehouse is no more than a givendistance

    95% of customers be situated within 200 miles of the

    3-29

    Appropriate for rural or isolated areas

    Future Demand

    Strategic decisions have to be valid for 3-5 years

    ons er scenar o approac an ne presenvalues to factor in expected future demand over

    planning horizon

    3-30

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    $80

    $90

    Number of Warehouses

    OptimalNumber

    of Warehouses

    $20

    $30

    $40

    $50

    $60

    $70

    Cost(millions$)

    Total Cost

    Transportation Cost

    Fixed Cost

    Inventory Cost

    3-31

    $-

    $10

    0 2 4 6 8 10

    Number of Warehouses

    Industry Benchmarks:Number of Distribution Centers

    Avg.# ofWH 3 14 25

    Pharmaceuticals Food Companies Chemicals

    3-32

    - High margin product- Service not important (oreasy to ship express)- Inventory expensiverelative to transportation

    - Low margin product- Service very important- Outbound transportationexpensive relative to inbound

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    Model Validation

    Reconstruct the existing network configuration using themodel and collected data

    Compare the output of the model to existing data

    Often the best way to identify errors in the data, problematicassumptions, modeling flaws.

    Make local or small changes in the network configurationto see how the system estimates impact on costs andservice levels. Positing a variety of what-if questions.

    Answer the following questions:

    3-33

    Does the model make sense? Are the data consistent? Can the model results be fully explained? Did you perform sensitivity analysis?

    Solution Techniques

    Mathematical optimization techniques:

    1. Exact algorithms: find optimal solutions

    2. Heuristics: find good solutions, notnecessarily optimal

    Simulation models: rovide a mechanism to

    3-34

    evaluate specified design alternatives created bythe designer.

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    Example Single product

    Plant p2 has an annual capacity of 60,000 units.

    The two plants have the same production costs.

    There are two warehouses w1 and w2 withidentical warehouse handling costs.

    3-35

    There are three markets areas c1,c2 and c3 withdemands of 50,000, 100,000 and 50,000,respectively.

    Unit Distribution Costs

    Facility p1 p2 c1 c2 c3warehouse

    w1 0 4 3 4 5

    w2 5 2 2 1 2

    3-36

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    Heuristic #1:

    Choose the Cheapest Warehouse to SourceDemand

    D1 = 50,000

    D2 = 100,000$5 x 140,000

    $2 x 60,000

    $2 x 50,000

    $1 x 100,000

    W1P1

    3-37

    D3 = 50,000ap = ,

    $2 x 50,000

    Total Costs = $1,120,000

    P2W2

    Heuristic #2:Choose the warehouse where the total deliverycosts to and from the warehouse are the lowest

    [Consider inbound and outbound distribution costs]

    D = 50,000

    D = 100,000$4

    $5

    $2

    $3

    $4$5

    $2

    $1

    $0

    P1 to WH1 $3P1 to WH2 $7

    P2 to WH1 $7P2 to WH 2 $4

    P1 to WH1 $4P1 to WH2 $6P2 to WH1 $8P2 to WH 2 $3

    3-38

    D = 50,000

    ap = ,$2

    P1 to WH1 $5P1 to WH2 $7P2 to WH1 $9P2 to WH 2 $4

    Market #1 is served by WH1, Markets 2 and 3are served by WH2

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    Heuristic #2:Choose the warehouse where the total delivery

    costs to and from the warehouse are the lowest[Consider inbound and outbound distribution

    costs]

    D = 50,000

    D = 100,000

    Cap = 200,000

    $5 x 90,000

    $2 x 60,000

    $3 x 50,000

    $1 x 100,000

    $0 x 50,000

    P1 to WH1 $3P1 to WH2 $7P2 to WH1 $7P2 to WH 2 $4

    P1 to WH1 $4P1 to WH2 $6P2 to WH1 $8P2 to WH 2 $3

    3-39

    D = 50,000ap = , $2 x 50,000

    P1 to WH1 $5P1 to WH2 $7P2 to WH1 $9P2 to WH 2 $4

    Total Cost = $920,000

    The Optimization Model

    The problem described earlier can be framed as thefollowin linear ro rammin roblem.

    Let

    x(p1,w1), x(p1,w2), x(p2,w1) and x(p2,w2) be the flows

    from the plants to the warehouses. x(w1,c1), x(w1,c2), x(w1,c3) be the flows from the

    warehouse w1 to customer zones c1, c2 and c3.

    3-40

    x(w2,c1), x(w2,c2), x(w2,c3) be the flows fromwarehouse w2 to customer zones c1, c2 and c3

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    The problem we want to solve is:min 0x(p1,w1) + 5x(p1,w2) + 4x(p2,w1)

    + 2x 2 w2 + 3x w1 c1 + 4x w1 c2

    The Optimization Model

    + 5x(w1,c3) + 2x(w2,c1) + 2x(w2,c3)

    subject to the following constraints:x(p2,w1) + x(p2,w2) 60000

    x(p1,w1) + x(p2,w1) = x(w1,c1) + x(w1,c2) + x(w1,c3)

    x(p1,w2) + x(p2,w2) = x(w2,c1) + x(w2,c2) + x(w2,c3)

    x(w1,c1) + x(w2,c1) = 50000

    3-41

    x(w1,c2) + x(w2,c2) = 100000x(w1,c3) + x(w2,c3) = 50000

    all flows greater than or equal to zero.

    Optimal Solution

    Facility

    warehouse

    p1 p2 c1 c2 c3

    w1 140,000 0 50,000 40,000 50,000

    w2 0 60,000 0 60,000 0

    Total cos t for the optimal strategy is $740,000

    3-42

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    Simulation Models

    Useful for a given design and a micro-levelanalysis. Examine:

    n v ua or er ng pa ern.

    Specific inventory policies.

    Inventory movements inside the warehouse.

    Not an optimization model

    Can only consider very few alternate models

    3-43

    Which One to Use?

    Use mathematical optimization for static analysis

    Use a 2-step approach when dynamics insys em as o e ana yze :1) Use an optimization model to generate a number of

    least-cost solutions at the macro level, taking intoaccount the most important cost components.

    2) Use a simulation model to evaluate the solutionsgenerated in the first phase.

    3-44

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    Single Product, Single FacilityPeriodic Review Inventory Model

    Assume -

    until the facility receives a shipment (IncomingService Time)

    S: Committed Service Time made by the facility to itsown customers.

    T: Processing Time at the facility.

    3-47

    Net Lead Time = SI + T - S

    Safety stock at the facility:

    STSI

    STSIzh

    2-Stage System

    Reducin committed service time from facilit 2to facility 1 impacts required inventory at bothfacilities

    Inventory at facility 1 is reduced

    Inventory at facility 2 is increased

    3-48

    the committed service time at each facility

    the location and amount of inventory

    minimize total or system wide safety stock cost.

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    Consider a two-tier supply chain

    3.3.2 Integrating Inventory Positioning

    and Network Design

    warehouses

    From there, they are shipped to secondarywarehouses and finally to retail outlets

    How to optimally position inventory in the supplychain?

    3-49

    and secondary warehouses?, OR

    Some SKU be positioned only at the primary whileothers only at the secondary?

    Integrating Inventory Positioning andNetwork Design

    EX 3-4 (P103)

    3-50

    FIGURE 3-18: Sample plot of each SKU by volume and demand

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    Three Different Product Categories High variability - low volume products

    ow var a y - g vo ume pro uc s, an

    Low variability - low volume products.

    3-51

    Supply Chain Strategy Different forthe Different Categories

    High variability low volume products Inventory risk is the main challenge for this products Position them mainly at the primary warehouses demand from many retail outlets can be aggregated

    reducing inventory costs.

    Low variability high volume products Position close to the retail outlets at the secondary

    warehouses

    3-52

    customers reducing transportation costs.

    Low variability low volume products Require more analysis since other characteristics are

    important, such as profit margins, etc.

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    3.4 Resource Allocation

    Supply chain master planningThe process of coordinating and allocatingproduction, and distribution strategies andresources o max m ze pro or m n m zesystem-wide cost

    Process takes into account: interaction between the various levels of the supply

    chain

    3-53

    performance

    Global Optimization and DSSFACTORS TO CONSIDER

    Facility locations: plants, distribution centers anddemand points

    Transportation resources including internal fleet andcommon carriers

    Products and product information Production line information such as min lot size, capacity,

    costs, etc.

    Warehouse capacities and other information such as

    3-54

    certain technology (refrigerators) that a specificwarehouse has and hence can store certain products

    Demand forecast by location, product and time.

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    Focus of the Output

    Sourcing Strategies:

    where should each product be produced during the,

    Supply Chain Master Plan:

    production quantities, shipment size and storagerequirements by product, location and time period.

    3-55

    The Extended Supply Chain: FromManufacturing to Order Fulfillment

    FIGURE 3-19: The extended supply chain: from manufacturing to o rder fulfillment

    3-56

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    Questions to Ask During the

    Planning Process Will leased warehouse space alleviate capacity problems? When and where should the inventory for seasonal or

    promotional demand be built and stored? Can capacity problems be alleviated by re-arranging

    warehouse territories? What impact do changes in the forecast have on the supply

    chain? What will be the impact of running overtime at the plants or

    out-sourcing production? What plant should replenish each warehouse?

    3-57

    .long lead times and therefore requires high inventory levels.On the other hand, using air carriers reduces lead times andhence inventory levels but significantly increasestransportation cost.

    Should we rebalance inventory between warehouses orreplenish from the plants to meet unexpected regionalchanges in demand?

    SUMMARYNetwork Planning Characteristics

    Network Design Inventory Positioning

    and Management

    Resource Allocation

    Decision focus Infrastructure Safety stock Production Distribution

    Planning Horizon Years Months Months

    Aggregation Level Family Item Classes

    3-58

    Frequency Yearly Monthly/Weekly Monthly/Weekly

    ROI High Medium Medium

    Implementation Very Short Short Short

    Users Very Few Few Few

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    HW #3 (all) Answer and solve problems in page 108-109:

    ~

    Present CASE studies:

    - ElecComp (in page 97~102) (2 people)

    - H. C. Starck, Inc. (in page 109~121) (2 people)

    3-61

    ElecComp Case

    Large contract manufacturer of circuit boards and otherhigh tech parts.

    About 27,000 high value products with short life cycles

    Fierce competition => Low customer promise times

    < Manufacturing Lead Times High inventory of SKUs based on long-term forecasts =>

    Classic PUSH STRATEGY High shortages

    3-62

    Huge risk

    PULL STRATEGY not feasible because of long leadtimes

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    New Supply Chain Strategy OBJECTIVES:

    Reduce inventory and financial risks Provide customers with competitive response times.

    ACHIEVE THE FOLLOWING: e erm n ng e op ma oca on o nven ory across e var ous

    stages Calculating the optimal quantity of safety stock for each component at

    each stage

    Hybrid strategy of Push and Pull Push Stages produce to stock where the company keeps safety stock Pull stages keep no stock at all.

    Challenge: Identif the location where the strate switched from Push-based to

    3-63

    Pull-based Identify the Push-Pull boundary

    Benefits: For same lead times, safety stock reduced by 40 to 60% Company could cut lead times to customers by 50% and still reduce

    safety stocks by 30%

    Notations Used

    3-64

    FIGURE 3-11: How to read the diagrams

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    Trade-Offs If Montgomery facility reduces committed lead time to 13

    days assembly facility does not need any inventory of finished goods

    An customer order will tri er an order for arts 2 and 3. . Part 2 will be available immediately, since it is held in inventory

    Part 3 will be available in 15 days 13 days committed response time by the manufacturing facility

    2 days transportation lead time.

    Another 15 days to process the order at the assembly facility

    Order is delivered within the committed service time.

    Assembly facility produces to order, i.e., a Pull based

    3-65

    strategy Montgomery facility keeps inventory and hence is

    managed with a Push or Make-to-Stock strategy.

    Current Safety Stock Location

    3-66

    FIGURE 3-12: Current safety stock location

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    Optimized Safety Stock Location

    3-67

    FIGURE 3-13: Optimized safety stock

    Current Safety Stock with LesserLead Time

    3-68

    FIGURE 3-14: Optimized safety stock w ith reduced lead time

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    Supply Chain with

    More Complex Product Structure

    3-69FIGURE 3-15: Current supply chain

    Optimized Supply Chain withMore Complex Product Structure

    3-70FIGURE 3-16: Optimized supply chain

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    Key Points

    Identifying the Push-Pull boundary

    Taking advantage of the risk pooling concept

    Demand for components used by a number offinished products has smaller variability anduncertainty than that of the finished goods.

    Replacing traditional supply chain strategiesthat are typically referred to as sequential, or

    3-71

    ,

    supply chain strategy.

    Local vs. Global Optimization

    3-72FIGURE 3-17: Trade-off between quoted lead time and safety stock

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    Global Optimization For the same lead time, cost is reduced

    For the same cost, lead time is reducedsignificantly

    Trade-off curve has jumps in various places

    Represents situations in which the location of the

    3-73

    - Significant cost savings are achieved.

    Problems with Local Optimization

    Prevalent strategy for many companies:

    hold some inventory at every location

    hold as much raw material as possible. This typically yields leads to:

    Low inventory turns

    3-74

    products, and

    The need to expedite shipments, with resultingincreased transportation costs