ise 626 fall 10 ch 4 simplex sensitivity

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  • 8/8/2019 ISE 626 Fall 10 Ch 4 Simplex Sensitivity

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    Introduction

    WhensolvinganLPproblemweassumethat

    valuesof

    all

    model

    coefficients

    are

    known

    withcertainty.

    Suchcertaintyrarelyexists.

    abouthowsensitivetheoptimalsolutionisto

    .

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    GeneralFormofa

    LinearProgramming

    LP

    Pro em

    or : c1 1 +c2 2 ++cn n

    Subjectto: a11X1 +a12X2 ++a1nXn

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    ApproachestoSensitivityAnalysis

    Changethedataandresolvethemodel!

    Sometimesthis

    is

    the

    only

    practical

    approach.

    Solveralsoproducessensitivityreportsthat

    cananswer

    various

    questions

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    SolversSensitivityReport

    Answersquestionsabout:

    canchange

    without

    changing

    the

    optimal

    solution.

    ofchangesinconstrainedresources.

    Theim act

    on

    the

    o timal

    ob ective

    function

    value

    offorcedchangesindecisionvariables.

    Theimpactchangesinconstraintcoefficientswill

    haveon

    the

    optimal

    solution.

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    BVsObjective

    Function

    Coefficient

    C angingt eco umno aij va ues oraNBV

    Changingthe

    RHS

    of

    a

    constraint

    Addinganewvariable

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    When

    solving

    LP

    problems,

    be

    sure

    to

    select

    the

    AssumeLinearModelo tionintheSolverO tions

    dialogboxasthisallowsSolvertoprovidemore

    sensitivityin ormationt anitcou ot erwise o.

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    AnExampleLPProblem

    tubs:Aqua

    Spas

    &

    Hydro

    Luxes.

    Pumps 1 1

    Tubing 12feet 16feet

    UnitProfit 350 300

    Thereare200pumps,1566hoursoflabor,and

    2880 eeto tu ingavai a e.

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    BlueRidge

    Hot

    Tubs

    Example

    MAX:350X1 +300X2 } profit

    . .: 1 + 2

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    How Changes in Objective Coefficients

    X2

    250

    200

    originallevelcurve

    150

    newop ma so u on

    100

    or g na op ma so u onnewlevelcurve

    50

    X1

    0

    0 50 100 150 200 250

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    How Changes in Objective Coefficients

    Seefileforsensitivityoptions

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    Changesin

    O jectiveFunction

    Coe icients

    AllowableDecrease

    columns

    for

    the

    ang ng e s n catet eamounts yw c

    anobjective

    function

    coefficient

    can

    change

    withoutchangingtheoptimalsolution,

    assumingallothercoefficientsremain

    constant.

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    orAllowableDecreasecolumnsforthe

    ChangingCellsindicatethatanalternate

    .

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    ChangesinConstraintRHSValues

    Theshadowprice ofaconstraintindicatestheamount

    bywhichtheobjectivefunctionvaluechangesgivena

    unitincrease in

    the

    RHS

    value

    of

    the

    constraint,

    assumingallothercoefficientsremainconstant.

    ShadowpricesholdonlywithinRHSchangesfalling

    Decreasecolumns.

    a owpr ces

    or

    non n ng

    cons ra n s

    are

    a ways

    zero.

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    CommentsAboutChanges

    n

    ons ra n

    a ues

    theobjective

    function

    value

    as

    RHS

    values

    change.

    ChangingaRHSvalueforabindingconstraintalso

    changesthe

    feasible

    region

    and

    the

    optimal

    solution

    (seegraphonfollowingslide).

    Tofindtheoptimalsolutionafterchangingabinding

    RHSvalue,

    you

    must

    re

    solve

    the

    problem.

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    How Changing an RHS Value Can Change

    the Feasible Re ion and O timal SolutionX2

    250

    200

    Supposeavailablelaborhours

    increasefrom1,566to1,728.

    150 oldoptimalsolution

    100

    o a orcons ra n

    50

    newlaborconstraint

    X1

    0 50 100 150 200 250

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    How Changing an RHS Value Can Change

    the Feasible Re ion and O timal Solution

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    TheMeaningofReducedCosts

    Thereducedcostforeachproductequalsitsperunitmarginalprofit minustheperunitvalueofthe

    resources

    it

    consumes

    (priced

    at

    their

    shadow

    .

    OptimalValue

    of Optimal

    Value

    of

    TypeofProblem DecisionVariable ReducedCost

    atsimplelowerbound =0

    atsimplelowerbound >=0

    n m za on e ween ower upper oun s =atsimpleupperbound

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    KeyPoints I

    Theshadowpricesofresourcesequatethe

    marg na va ueo t eresourcesconsume w t

    themarginalbenefitofthegoodsbeingproduced.

    Resourcesinexcesssupplyhaveashadowprice(or

    mar inal value of zero.

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    KeyPointsII

    Thereducedcostofaproductisthedifference

    etween tsmarg na pro tan t emarg na va ue

    oftheresourcesitconsumes.

    Productswhosemarginalprofitsarelessthanthe

    mar inal value of the oods re uired for their

    productionwillnotbeproducedinanoptimal

    .

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    AnalyzingChangesin

    Q:SupposeaTyphoonLagoonrequiredonly7labor

    oursra er an . s nowpro a e o

    produceany?

    Q:WhatisthemaximumamountoflaborTyphoon

    Lagoons

    could

    require

    and

    still

    be

    profitable?