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: Colored 、 Integer programming 、 Automotive engineering 、 Paint shop 、 Conveyor system 、 Vehicle routing problem 、 Computer science 、 General motors 、 Dynamic programming 、 Simulation 、 Discrete 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.