STOCK RATIONING IN A MULTI-CLASS MAKE-TO-STOCK QUEUE WITH INFORMATION ON THE PRODUCTION STATUS August 2006

نویسندگان

  • Jean-Philippe Gayon
  • Francis de Véricourt
  • Fikri Karaesmen
چکیده

We consider a single-item make-to-stock production system. The item is demanded by several classes of customers arriving according to Poisson processes with different backorder costs. Item processing times have an Erlang distribution. This allows us model the information on the production status in a tractable way and to investigate the impact of processing time variability. Using a Markov Decision Process formulation, we show some structural properties of the optimal stock allocation policy. We also present a heuristic and discuss how to optimize its parameters. We show by numerical experiments the effectiveness of this heuristic policy. In addition, we study the influence of processing time variability on the performance of the system.

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تاریخ انتشار 2006