Optimizing real-time vehicle sequencing of a paint shop conveyor system

作者: Mirza M. Lutfe Elahi , Karthik Rajpurohit , Jay M. Rosenberger , Gergely Zaruba , John Priest

DOI: 10.1016/J.OMEGA.2015.02.003

关键词: ColoredInteger programmingAutomotive engineeringPaint shopConveyor systemVehicle routing problemComputer scienceGeneral motorsDynamic programmingSimulationDiscrete event simulation

摘要: Abstract A discrete event simulation model and a decision optimizer that were developed for General Motors paint shop conveyor system are presented. The interacts with the at four critical points in system, trying to regroup batches of different colored vehicles. employs dynamic programming integer optimize vehicle routing policies. Simulation results current making policies compared those proposed optimized showing number head changes can be significantly reduced resulting substantial savings on cleaners paint.

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