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Optimal pricing and sequencing in a make-to-order system with batch demand

  • Liuxin Chen
  • , Youyi Feng
  • , Gang Hao
  • , Matthew F. Keblis

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    Abstract

    In this paper we consider the problem of jointly managing production sequencing and pricing in a two product manufacturing system where both products (type-1 and type-2) are made using the same resource. Type-1 product is made-to-order to fulfill contractual demand arriving according to a compound Poisson process. Type-2 product is also made-to-order but to fulfill demand arising in the open market where demand arrives according to a Poisson process that is a function of a price posted by the manufacturer. The objective of the manufacturer is to make production sequencing and pricing decisions that maximize the total expected discounted profit earned over an infinite time horizon. We characterize the optimal sequencing policy using a monotone threshold curve and the optimal pricing policy using monotone switching curves. We also conduct a sensitivity analysis to learn how the manufacturer's profitability and the optimal production sequencing and pricing policies are impacted by various problem parameters.
    Original languageEnglish
    Article number6963330
    Pages (from-to)1455-1470
    JournalIEEE Transactions on Automatic Control
    Volume60
    Issue number6
    Online published20 Nov 2014
    DOIs
    Publication statusPublished - Jun 2015

    UN SDGs

    This output contributes to the following UN Sustainable Development Goals (SDGs)

    1. SDG 9 - Industry, Innovation, and Infrastructure
      SDG 9 Industry, Innovation, and Infrastructure

    Research Keywords

    • dynamic pricing
    • Make-to-Order (MTO)
    • Markov Decision Processes
    • sequencing
    • switching curves

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