A study on evaluation of demand information-sharing methods in supply chain

Seung Jin Ryu*, Takahiro Tsukishima, Hisashi Onari

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review

    66 Citations (Scopus)


    With the increasing globalization, there are many sources of uncertainty across the entire high-tech electronics equipment supply chain. These include demand uncertainty and supply uncertainty due to the use of unskilled labor, as well as the sudden breakdown of production facilities of upstream players. These cause many problems, including excess inventory and poor service, to name but two. Information sharing is a very important tool in dealing with these sort of problems because it helps to eradicate potential uncertainties related to various corporate behaviors. Although there has been much research on this subject since the 1990s, there have not been sufficient efforts to identify the control characteristics, or the responsiveness of various information-sharing methods. Our objective here is to clarify the control characteristics of information-sharing methods closely related to the supply chain community strategy. In this study, we evaluate the supply chain performance of two different types of information-sharing methods. One is the planned demand transferring method (PDTM), and the other is the forecasted demand distributing method (FDDM). We analyze supply chain performance for both methods in terms of throughput, inventory level, and service level.

    Original languageEnglish
    Pages (from-to)162-175
    Number of pages14
    JournalInternational Journal of Production Economics
    Issue number1
    Publication statusPublished - 2009 Jul


    • Community strategy
    • Control characteristics
    • Demand information management
    • Forecasted demand distributing method (FDDM)
    • Information sharing
    • Planned demand transferring method (PDTM)
    • Responsiveness
    • Supply chain

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering
    • Business, Management and Accounting(all)
    • Management Science and Operations Research
    • Economics and Econometrics


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