A Network Approach to Identifying Military Fleet Replacement Strategies

Int. J. Oper. Res. Inf. Syst.(2013)

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摘要
The Motor Transport Program Office for the U.S. Marine Corps PM MT manages the Light Tactical Wheeled Vehicle TWV fleet and must make decisions each year about vehicle procurements, overhauls, and retirements. These decisions are based on projected costs to maintain current vehicles, estimates of the remaining useful life of the vehicles, availability of new vehicles and individual vehicle capabilities and budgets. In this portfolio analysis, the authors developed a flexible, optimization-based methodology for supporting these fleet level decisions based on cost estimates, initial inventories, operational tempo OPTEMPO, and approved requirements documents capabilities. Accommodating user requirements, the model uses Frontline Solver in an Excel environment, leveraging network flow constraints to decrease runtime to solution so that multiple runs of scenario excursions can expose advantages and disadvantages of different fleet management policies. A user interface was developed to allow for batch runs using design of experiment or parametric analysis of the data. The interface also helped manage the model complexity of roughly 6,000 decision variables that were developed dynamically depending on the input assumptions.
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关键词
individual vehicle capability,requirements documents capability,network approach,identifying military fleet replacement,current vehicle,twv fleet,model complexity,fleet level decision,new vehicle,portfolio analysis,parametric analysis,different fleet management policy
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