Two-stage supply chain information sharing model and strategy based on Markov decision process

Lun Ran*, Li Zhou, Bei Bei Wang

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    Abstract

    Some problems about supply chain information sharing were reviewed, including information category, earnings, technology, mechanism, etc. To optimize supply chain coordination operation, two-stage single-supplier single-retailer information sharing model was constructed by introducing the Markov decision process. The algorithms of Markov process and restricted observed Markov process were analyzed, and the strategy choice of suppliers and retailers under fully information sharing and no information sharing conditions were discussed. Taking beer industry for example, the cost sharing information of beer supplier and retailer was identified, and probability distributions of five uncertain kinds of demand information were compared. Research results indicate that the Markov decision process, as representative of the stochastic theory, is feasible to solve supply chain information sharing problem, no matter on the algorithm validation or strategy selection.

    Original languageEnglish
    Pages (from-to)103-109
    Number of pages7
    JournalJournal of Beijing Institute of Technology (English Edition)
    Volume19
    Issue numberSUPPL. 1
    Publication statusPublished - Dec 2010

    Keywords

    • Demand
    • Information sharing
    • Inventory
    • Markov decision process
    • Supply chain

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