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Supply planning for a closed loop supply chain with uncertain demand and price-dependent stochastic return

  • Shi Jianmai
  • , Zhang Guoqing
  • , Keung Lai Kin

    Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

    Abstract

    This paper considers a single product closed loop supply chain, in which the manufacturer faces an uncertain market demand and price-dependent stochastic returns. There are two options for supplying the products: either producing products by new materials and components, or remanufacturing the recycle products and bringing them back to 'as new' conditions. The problem is to determine the quantities of bran-new and remanufactured products, and the acquisition price for used products so that the manufacturer's total expected profit is maximized. We develop a Nonlinear Programming (NLP) model and present some properties of this problem. With the properties an optimal solution approach is developed. Two numerical examples are used to analyze the problem and test the solution approach. © 2009 IEEE.
    Original languageEnglish
    Title of host publication2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009
    Pages616-620
    DOIs
    Publication statusPublished - 2009
    Event2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009 - Beijing, China
    Duration: 24 Jul 200926 Jul 2009

    Conference

    Conference2009 International Conference on Business Intelligence and Financial Engineering, BIFE 2009
    PlaceChina
    CityBeijing
    Period24/07/0926/07/09

    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

    • Newsvendor
    • Pricing
    • Supply planning
    • Uncertain demand
    • Uncertain return

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