Information sharing and service channel design in the presence of forecasting demand

Pan Zhang, Yu Xiong, Zhongkai Xiong, Yu Zhou

    Research output: Contribution to journalArticlepeer-review

    30 Citations (Scopus)

    Abstract

    This paper investigates the issue of demand forecast sharing in a supply chain, in which either the manufacturer or the retailer conducts demand-enhancing service. In the mode with manufacturer conducting service (Mode M), our analysis shows that if the service efficiency is high (low), the retailer should voluntarily (not) share its demand forecast. If the service efficiency is moderate, a side-payment contract or a bargaining mechanism can induce the retailer to share. In the mode with retailer conducting service (Mode R), no information sharing is the unique equilibrium. In both modes, supply chain members are generally better off when their forecasts become more accurate. Moreover, the positive impact of more accurate forecasts on both the manufacturer and the retailer is generally much stronger in Mode R than in Mode M. Finally, we find that both firms prefer Mode M to Mode R if the service efficiency is high, while they prefer Mode R if the service efficiency is low.
    Original languageEnglish
    Pages (from-to)1920-1934
    JournalJournal of the Operational Research Society
    Volume69
    Issue number12
    Early online date5 Mar 2018
    DOIs
    Publication statusPublished - 2 Dec 2018

    Keywords

    • Supply chain management
    • service operations management
    • information sharing
    • forecast accuracy
    • game theory

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