NVM Example

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  • 7/24/2019 NVM Example

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    xample: Mrs. Kandells Christmas Tree Shop

    Order for Christmas trees must be placed in Sept

    If she orders too few, the unit shortage costis cu= 55 25= $30

    If she orders too many, the unit overage costis co= 25 5= $0

    Sales 22 24 26 28 30 32 34 36

    Probability .05 .10 .15 .20 .20 .15 .10 .05

    !ast"ata

    Cost per tree# $25 !rice per tree#$55 before "ec 25

    $5 after "ec 25

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    Stockout and Markdown Risks

    D total demand before Christmas

    Fx% the demand distribution,

    D& Q stoc'out, at a cost of# cuD Q%() cuma*+D

    Q, 0

    D- Q

    o.erstoc', at a cost of coQD%(

    = coma*+Q D, 0

    / rs/ 1andell has only one chanceto orderuntil the sales bein# no information to re.ise theforecast

    after the sales start# too late to order more/

    2/ She has to decide an order 4uantity Qnow

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    Model development

    Stoc'out cost ) cuma*+D Q, 0

    O.erstoc' cost = coma*+Q

    D, 0

    otal cost ) 67% ) cuD Q%(

    ( coQ D%(

    8*pected cost, 8 67% % ) 8cuD Q%(( co

    Q D%(%

    ) cu8D Q%(( co8Q D%

    (

    =

    +

    =

    +

    =

    +++=+=

    Q

    x

    o

    Qx

    u

    x

    ou xPxQcxPQxcxPxQcQxc00

    )(])([)(])([)(])()([

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    odel Development: enerali!ation

    =

    +

    =

    + +=Q

    x

    o

    Qx

    u xPxQcxPQxcQGE0

    )(])([)(])([))((

    ==

    +==Qx

    u

    Q

    x

    dxxPQxcdxxPxQcQGEQg )()()()())(()(0

    0

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    Model solution

    7% is a con.e* function# it has a uni4ue minimum

    when 7% is at minimum .alue, 97% ) cu:cu( co%

    inimi;e 7%

    ==+==

    Qx

    u

    Q

    x

    dxxPQxcdxxPxQcQGEQg )()()()())(()(0

    0

    0)()()()(0

    0 =

    +

    == Qxu

    Q

    x

    dxxPQxcdxxPxQcdQ

    d

    0)(=

    dQ

    Qgd

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    he Critical

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    Mrs. Kandells "ro#lem$ solved:

    = cu/co+ cu% ) 30:30 ( 0% ) 0/>5

    cu= 55 25= $30co= 25 5= $0

    !ast"ata

    D 22 24 26 28 30 32 34 36

    Probability 0.05 0.1 0.15 0.2 0.2 0.15 0.1 0.05

    F(D ) 0.05 0.15 0.3 0.5 0.7 0.85 0.95 1

    optimum ? 3

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    ewsvendor model: e&ect o' critical ratio

    = cu/co+ cu% ) 30:30 ( 0% ) 0/>5 optimum# 3

    D 22 24 26 28 30 32 34 36

    Probability 0.05 0.1 0.15 0.2 0.2 0.15 0.1 0.05

    F(D ) 0.05 0.15 0.3 0.5 0.7 0.85 0.95 1

    o.erstoc' cost less sini@cant order more

    o.erstoc' cost dominates order less

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    Summar(

    hen demand is uncertain, we minimi;e expected costs

    ews.endor model# sinle period, with o.erB and underBstoc' cost

    ritical ratio determines the optimum order point

    ritical ratio aects the direction and manitude of order 4uantit