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    InventoryInventory

    ManagementManagement

    Probabilistic ModelsProbabilistic ModelsINTRODUCTIONINTRODUCTION

    Prepared by: RAPrepared by: RA IIdoydoy

    AMAT 167AMAT 167

    Operations Research 1Operations Research 1

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    The realityThe reality

    The models and environments discussed in theThe models and environments discussed in the

    deterministic models of inventory management have alldeterministic models of inventory management have all

    been based on the premise that thebeen based on the premise that the demand process isdemand process is

    deterministicdeterministic..

    In most real situations, this assumption is violated.In most real situations, this assumption is violated.

    However,However, mostmost companies treat the world as if it werecompanies treat the world as if it werepredictable.predictable.

    Production and inventory planning are based on forecasts ofProduction and inventory planning are based on forecasts of

    demand made far in advance of the selling season.demand made far in advance of the selling season.

    Companies are aware of demand uncertainty when they create aCompanies are aware of demand uncertainty when they create a

    forecast, but they design their planning process as if the forecastforecast, but they design their planning process as if the forecasttrul re resents realittrul re resents realit

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    The realityThe reality

    Recent technological advances have increased the level ofRecent technological advances have increased the level of

    demand uncertainty:demand uncertainty:

    Short product life cyclesShort product life cycles

    Increasing product varietyIncreasing product variety

    The three principles of all forecastingThe three principles of all forecasting techniques:techniques: Forecasting is always wrongForecasting is always wrong

    TheThe longer the forecast horizon the worst is the forecastlonger the forecast horizon the worst is the forecast

    Aggregate forecasts are more accurateAggregate forecasts are more accurate

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    RealReal--Life Application :Life Application :

    Inventory Decisions in Dells SupplyInventory Decisions in Dells Supply

    ChainChain

    Dell, Inc., implements a directDell, Inc., implements a direct--sales business model insales business model in

    which personal computers are sold directly to customerswhich personal computers are sold directly to customers

    in US.in US.

    When an order arrives from a customer, the specificationsWhen an order arrives from a customer, the specifications

    are sent to a manufacturing plant in Austin, Texas.are sent to a manufacturing plant in Austin, Texas.

    Suppliers are located in Southeast Asia and are required toSuppliers are located in Southeast Asia and are required tokeep a revolving inventory in revolvers (which arekeep a revolving inventory in revolvers (which are

    owned by Dell).owned by Dell).

    Dell then pulls parts as needed from the revolvers, thus it isDell then pulls parts as needed from the revolvers, thus it isthe suppliers responsibility to replenish the inventory tothe suppliers responsibility to replenish the inventory to

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    RealReal--Life Application :Life Application :

    Inventory Decisions in Dells SupplyInventory Decisions in Dells Supply

    ChainChain

    Although Dell does not own the inventory in the revolvers,Although Dell does not own the inventory in the revolvers,

    its cost is indirectly passed on to customers throughits cost is indirectly passed on to customers through

    component pricing.component pricing.

    Thus, any reduction in inventory directly benefits Dell'sThus, any reduction in inventory directly benefits Dell's

    customers by reducing product prices.customers by reducing product prices.

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    ScenariosScenarios to ponderto ponder

    PlayTimePlayTime ToysToys

    Toys have short life cycles, high variety of competitorsToys have short life cycles, high variety of competitors

    New designs are completedNew designs are completed

    One production opportunityOne production opportunity

    Based on past sales, knowledge of the industry, andBased on past sales, knowledge of the industry, andeconomic conditions, the marketing department has aeconomic conditions, the marketing department has aprobabilistic forecastprobabilistic forecast

    The forecast averages about 13,000, but there is aThe forecast averages about 13,000, but there is achance that demand will be greater or less than this.chance that demand will be greater or less than this.

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    ScenariosScenarios to ponderto ponder

    PlayTimePlayTime ToysToys

    Demand Scenarios

    0%

    5%

    10%

    15%

    20%25%

    30%

    8000

    10000

    12000

    14000

    16000

    18000

    Sales

    Probab

    ili

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    ScenariosScenarios to ponderto ponder

    PlayTimePlayTime ToysToys

    Production cost per unit (c): P80Production cost per unit (c): P80

    Selling price per unit (p): P125Selling price per unit (p): P125

    Salvage value per unit (g): P20Salvage value per unit (g): P20

    Fixed production cost (K): P100,000Fixed production cost (K): P100,000

    Q is production(order) quantity, D demandQ is production(order) quantity, D demand

    Profit =RevenueProfit =Revenue Variable CostVariable Cost Fixed Cost +Fixed Cost +

    SalvageSalvage

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    ScenariosScenarios to ponderto ponder

    PlayTimePlayTime ToysToys

    Scenario One:Scenario One:

    Suppose you make 12,000 toys and demand ends upSuppose you make 12,000 toys and demand ends up

    being 13,000 toys.being 13,000 toys.

    ProfitProfit == 125(12,000)125(12,000) -- 80(12,000)80(12,000) -- 100,000 = P440,000100,000 = P440,000

    Scenario Two:Scenario Two:

    Suppose you make 12,000 toys and demand ends upSuppose you make 12,000 toys and demand ends up

    being 11,000 toys.being 11,000 toys. Profit = 125(11,000)Profit = 125(11,000) -- 80(12,000)80(12,000) -- 100,000 + 20(1000) = P 335,000100,000 + 20(1000) = P 335,000

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    ScenariosScenarios to ponderto ponder

    PlayTimePlayTime ToysToys

    Find order quantity that maximizes average profit.Find order quantity that maximizes average profit.

    Question:Question:

    Will this quantity be less than, equal to, or greater thanWill this quantity be less than, equal to, or greater than

    average demand?average demand?

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    ScenariosScenarios to ponderto ponder

    PlayTimePlayTime ToysToys

    TradeTrade--off between ordering enough to meetoff between ordering enough to meet

    demand and ordering too muchdemand and ordering too much

    Several quantities have the same average profitSeveral quantities have the same average profit

    Average profit does not tell the whole storyAverage profit does not tell the whole story

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    ObservationsObservations

    The optimal order quantity isThe optimal order quantity is not necessarilynot necessarily equal toequal toaverage forecast demandaverage forecast demand

    The optimal quantity depends on the relationshipThe optimal quantity depends on the relationshipbetween marginal profit and marginal costbetween marginal profit and marginal cost

    As order quantity increases, average profit firstAs order quantity increases, average profit firstincreases and then decreasesincreases and then decreases

    As production quantity increases, risk increases. InAs production quantity increases, risk increases. Inother words, the probability of large gainsother words, the probability of large gains andandof largeof largelosses increaseslosses increases

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    Inventory Management withInventory Management with StochasticStochastic

    DemandDemand

    Demand is NOT known for sureDemand is NOT known for sure

    StochasticStochastic

    ProbabilisticProbabilistic

    UncertainUncertain

    We have some idea about the average (mean) demandWe have some idea about the average (mean) demand

    We may also know the probability distribution of theWe may also know the probability distribution of thedemanddemand

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    Inventory Management withInventory Management with StochasticStochastic

    DemandDemand

    Decisions to make:Decisions to make:

    How often we review the inventory?How often we review the inventory?

    When we should issue a (replenishment/production)When we should issue a (replenishment/production)

    order?order? How large the order should be?How large the order should be?

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    Probabilistic ModelProbabilistic Model

    Continuous Review ModelContinuous Review Model

    ProbabilitizedProbabilitized EOQ modelEOQ model

    Probabilistic EOQ ModelProbabilistic EOQ Model

    SingleSingle--Period ModelsPeriod Models

    Instantaneous Demand, No SetInstantaneous Demand, No Set--up Costup Cost

    Instantaneous Demand, SetInstantaneous Demand, Set--up Cost (sup Cost (s--S Policy)S Policy)