opsm301_s10_aggregateplanning

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    OPSM301 Spring 2010OPSM301 Spring 2010

    Supply Chain Management:

    Transportation

    AnnouncementsAnnouncements

    3 quizzes- 2 minimum will be droppedSupply chain and aggregate planning

    Inventory management

    Extra class on Monda Ma 24 6.30 m

    CAS B07

    Project 3 due on May 28

    Final on June 3

    The Aggregate Operations PlanThe Aggregate Operations Plan

    y Specify the optimal combination of

    Production rate (units completed per unit of time)

    Workforce level (number of workers)

    Inventory on hand (inventory carried from previous period)

    y Product rou or broad cate or a re ation

    y This planning is done over an intermediate-range

    planning period of 3 to18 months

    y Meet demand

    y Use capacity efficiently

    y Meet inventory policy

    Aggregate Planning GoalsAggregate Planning Goals

    y n m ze cost

    Labor

    Inventory

    Plant & equipment

    Subcontract

    Production Planning StrategiesProduction Planning Strategies1. Chase strategy (Set Production rate=Demand rate

    for each period)

    Match the production rate by hiring and laying off

    employees, i.e.

    Must have a pool of easily trained applicants to draw on

    2. Stable workforcevariable work hours

    Vary the number of hours worked through flexible work

    schedules or overtime

    3. Level strategy (Constant production rate)

    Demand changes are absorbed by fluctuating inventory

    levels, order backlogs, and lost sales

    Production Planning StrategiesProduction Planning StrategiesContinuedContinuedy Pure strategy: when just one of these approaches is

    used to absorb demand fluctuations

    y Mixed strategy: when two or more of the

    approaches are used

    y ,

    choose to subcontract some portion of production

    Similar to the chase strategy, but hiring and laying off are

    translated into subcontracting

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    Relevant CostsRelevant Costs

    1. Basic production costs The fixed and variable costs incurred in

    producing a given product type in a given

    time period

    2. Costs associated with changes in the

    production rate

    Hiring, training, and laying off personnel

    3. Inventory holding costs

    4. Backorder costs

    Example 2: Formulating Aggregate PlanningExample 2: Formulating Aggregate Planning

    problem as a Linear Programproblem as a Linear Program

    y A company wants a high level, aggregate production plan for the next 6 months.Projected orders for the company's product are listed in the table. Over the 6-monthperiod, units may be produced in one month and stored in inventory to meet somelater month's demand. Because of seasonal fa ctors, the cost of production is notconstant, as shown in the table:

    Demand Production

    Month (units) cost

    ($/unit)

    1 1300 100

    2 1400 105

    3 1000 110

    4 800 115

    5 1700 110

    6 1900 110

    y The cost of holding an item in inventory for 1 month is$4/unit/mo.

    y Items produced and sold in the same month are not put ininventory.

    y The maximum number of units that can be held ininventory is 250.

    y The initial inventory level at the beginning of thelannin horizon is 200 units the final inventor level at

    the end of the planning horizon is to be 100.

    The problem is to determine the optimal amount to producein each month so that demand is met while minimizingthe total cost of production and inventory. Shortages arenot permitted.

    Parameters (Given Variables)Parameters (Given Variables)

    y Dt : demand in month t

    Decision Variables (Variables we canDecision Variables (Variables we can

    chan echan e

    y Pt: Production in month t

    y It : Inventory level at the end of month t

    I0 : initial inventory level

    I6 : final inventory level

    ConstraintsConstraintsy Conservation of flow: A basic requirement in production

    planning problems is that product or material must be

    conserved.

    It-1 + Pt -It = Dt, t = 1,...,6

    y Maximum inventory: upper bound constraint on the

    inventory levels.

    It < 250, t = 1,...,6

    y Initial and final conditions:

    I0 = 200, I6 = 100

    It > 0, Pt > 0 for all t

    Objective functionObjective functiony Minimize Z = 100P1 + 105P2 + 110P3 +

    115P4 + 110P5 + 110P6 + 4I1 + 4I2 + 4I3 +

    4I4 + 4I5 + 4I6

    y See the Excel file in the course share

    folder for the solution

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    DESIGNING THEDESIGNING THE

    NETWORKNETWORK

    Issues in Facility LocationIssues in Facility Location

    y Proximity to customers: makes rapid delivery

    easier

    y Business climate: can include presence of similar-

    sized businesses, businesses in the same industry, and

    other forei n com anies

    y Total costs : object is to minimize overall cost

    y Infrastructure: adequate road, rail, air, and sea

    transportation along with energy and

    telecommunications

    Issues in Facility LocationIssues in Facility Location ContinuedContinued

    y Quality of labor: educational and skill levels must

    match needs

    y Suppliers: proximity of important suppliers supports

    lean production

    y Other facilities: location of other facilities can

    influence a location decision

    y Free trade zones: a closed facility into which

    foreign goods can be brought without being subject

    to the normal customers requirements

    Issues in Facility LocationIssues in Facility Location ContinuedContinued

    y Political risk: risks in both the

    country of location and the host

    country influence the decision

    y Government barriers: barriers in

    many countries are being removed

    y Trading blocs: firms locate within ablock to take advantage of new

    markets or lower total cost

    Issues in Facility LocationIssues in Facility LocationContinuedContinued

    y Environmental regulation: these

    impact a certain industry in a given

    location and must be included in the

    decision

    y Host community: host communitys

    interest is part of the evaluation process

    y Competitive advantage: the location

    should provide the company with a

    competitive advantage

    Transportation Method of LinearTransportation Method of Linear

    ProgrammingProgramming

    y Transportation method is a special linear

    programming method

    y Seeks to minimize costs of shipping n

    units to m destinations or it seeks to

    maximize profit of shipping n units to m

    destinations

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    U.S. Pharmaceuticals ExampleU.S. Pharmaceuticals Example

    From/To Columbus St. Louis Denver Los Angeles

    FactorySupply

    Indianapolis 25 35 36 60 15

    Phoenix 55 30 25 25 6

    New York 40 50 80 90 14

    Atlanta 30 40 66 75 11

    Requirements 10 12 15 9

    Si

    Define Xij: # units transported from location ito locationj

    Cij: Unit cost of transportation between i and j

    Objective: i j

    ijijxc

    Constraints: Supply constraints:

    Demand Constraints

    i

    i

    ijSx

    Di

    j

    j

    ij Dx =

    See the Excel file in the

    Course share folder

    For the solution

    Exercise:Exercise:

    500500

    2500250011

    22

    FactoriesFactories WarehouseWarehouse

    What is the minimum costly distribution planWhat is the minimum costly distribution plan??

    Formulate an LP and folve using Excel SolverFormulate an LP and folve using Excel Solver

    F1F1W1W1

    25002500

    30003000

    60006000

    25002500

    10001000

    25002500

    30003000

    4455SupplySupply DemandDemand

    F2F2

    F3F3

    F4F4

    W2W2

    W3W3

    W4W4

    W5W5

    Unit Costs of TransportationUnit Costs of Transportation

    W1W1 W2W2 W3W3 W4W4 W5W5

    F1F1 11 22 33 44 55

    F3F3 22 11 33 55 22

    F4F4 88 33 44 33 99