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Simulation of a Two-End-Product Postponement System

In: Postponement Strategies in Supply Chain Management

Author

Listed:
  • T.C. Edwin Cheng

    (The Hong Kong Polytechnic University)

  • Jian Li

    (School of Economics & Management Beijing University of Chemical Technology (BUCT))

  • C.L. Johnny Wan

    (The Hong Kong Polytechnic University)

  • Shouyang Wang

    (Chinese Academy of Sciences Academy of Mathematics & Systems Science)

Abstract

In the last chapter, we have shown that the cost benefits of a postponement systempostponement system are limited when it is implemented to a single end-product supply chain system whose customer demands are discrete and uniformly distributed. To a great extent, a lot size-reorder point system outperforms a postponement systempostponement system when it is operated in its optimal or near optimal total average cost at steady state based on our results. However, it is argued that a postponement systempostponement system may outperform a lot size-reorder point system if the supply chain system offers more than one end-product. This view is coherent with our findings in Chapters 2 and 3. Besides, the analysis would be more valuable if both Poisson and normal distributions normal distribution are considered. In fact, it is more equitable to compare the two systems by an experimental approach instead of their long-run steady states because the steady state may be reached only after infinite periods or a very long time. In order to maintain completeness of our study, a more dynamic system is developed by simulation techniquesimulation technique in this chapter.

Suggested Citation

  • T.C. Edwin Cheng & Jian Li & C.L. Johnny Wan & Shouyang Wang, 2010. "Simulation of a Two-End-Product Postponement System," International Series in Operations Research & Management Science, in: Postponement Strategies in Supply Chain Management, edition 0, chapter 0, pages 109-123, Springer.
    • Handle: RePEc:spr:isochp:978-1-4419-5837-2_5
    DOI: 10.1007/978-1-4419-5837-2_5
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