MIT ESD 71 - Flexibility in an Aircraft Assembly Plant

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Flexibility in an Aircraft Assembly PlantOverviewProblem StatementDesign ConsiderationsSources of UncertaintyDecision Analysis ModelDecision Analysis ResultsBinomial Lattice ModelBinomial Lattice ResultsHybrid ModelHybrid ResultsSensitivity of Political UncertaintyComparison of ModelsConclusionFlexibility in an Aircraft Assembly PlantESD.71 Final Application PortfolioAnna Massie12/15/2008OverviewIn fiscal year 2008, the US government approved $91.9 billion for procurement purposes, $33.8 billion of which to the Air ForceContractors to the DoD fulfill these acquisitions, including the purchasing of airplane tankersContractors have much to gain form such a contract, but there is still uncertainty in the total number of airplanes that will be demanded over the life of the contractProblem StatementThe contractor requires adequate facilities to manufacture and build these aircraftOne of the primary facilities necessary is the assembly plantThis project focuses on how flexibility in the design of the assembly plant can help a contractor in times of uncertaintyDesign ConsiderationsThe assembly plant can either be built at a fixed size, or designed with flexibility to allow for future expansionAdditional land and equipment bought initially to have flexibility of increasing production laterEach design has a separate cost and profit structure Flexibility FixedFixed Costs Year 1 $70M $40M Year 2-10 $40M $40M Marginal Cost per Plane $2.50M $3M Low supply fee $10M $10M Price per Plane $10M $10M Profit from decreasing size $3M NASources of UncertaintyUncertainty will cause the demand of aircraft to fluctuate from the baselineEconomic UncertaintyDemand fluctuates with the economy, as benchmarked by the DOW Jones Industrial AveragePolitical UncertaintyDemand increases during times of warDecision Analysis ModelTwo stages of five yearsAt the chance nodesDemand follows a demand probability distribution as found by analyzing joint demand distributions from the uncertainties At the initial decision nodesContractor could choose a fixed or flexible designAt decision node at year 5For flexible, contractor can decide to expand, decrease or keep production the sameExpected value is calculated after each nodeDecision Analysis ResultsObtain a higher expected value for the flexible design ($146 million) than for the fixed design ($142 million), but fixed design better under worst circumstances Flexible FixedExpected Value $146 $142Min $95 $106Max $188 $177B/C 1.52 1.5Binomial Lattice ModelEconomic uncertainty modeled through DOW Jones Industrial average pointsDOW average growth rate 2.5%, volatility 12.5%u=1.31, d=0.882, p=0.615Demand can be determined from this uncertainty by bucketing by DOW points0-5000 points: 6 aircraft/year5000-8000: 8 aircraft/year8000-10000: 10 aircraft/year10000-14000: 12 aircraft/year14000-20000: 14 aircraft/year20000+ points: 16 aircraft/yearBinomial Lattice ResultsThe contractor should decide to exercise flexibility at year 1Obtain a higher expected value for the flexible design ($156 million) than for the fixed design ($153 million) Flexible FixedExpected Value (year 10) $159 $153Expected Value (year 4) $68 $64Min $4 $14Max $91 $70B/C 1.51 1.69Hybrid ModelUsed lattice to model economic uncertainty combined with a two-stage decision analysis to model political uncertaintyAnalyzed two resultant scenariosBased off of Nestor Quispez-Asin’s Master of Science ThesisHybrid ResultsObtain a higher expected value for the flexible design ($192 million) than for the fixed design ($166 million)For flexible design, more beneficial to expand independent if there is or is not a warSensitivity of Political UncertaintyTested sensitivity of results to the probability that a war would occurFound flexible design always superiorComparison of ModelsPrimary parameters that changed results of models were the uncertainties, the cost and profit structure, and the put optionValue of flexibility varied from $4-$23 millionPut option most influential parameterContractor would lose significantly in first 5 years if not able to expandModel: Economic UncertaintyPolitical UncertaintyCosts/Profits Put Option EV FlexibleEV FixedTwo-Stage Modeled per 5 year periodModeled per 5 year periodModeled per 5 year periodEuropean $146 $142Lattice Modeled yearlyNot modeled Modeled yearly American $156 $148 Hybrid Modeled yearlyModeled per 5 year periodModeled Yearly American $192 $166ConclusionHybrid analysis most appropriate for model as it encompasses both political and economic uncertainty, and uses the American call optionModel would quickly explode with additional uncertainty factorsThe flexible design always better than the fixed design, but changes in the model could affect this


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MIT ESD 71 - Flexibility in an Aircraft Assembly Plant

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