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The impact of information sharing in a two-level supply chain with multiple retailers

Author

Listed:
  • T C E Cheng

    (The Hong Kong Polytechnic University)

  • Y N Wu

    (The Hong Kong Polytechnic University
    Chongqing Normal University)

Abstract

Information sharing is an important component of cooperation in supply chain management. This paper presents a study to evaluate the impact of information sharing on inventory and expected cost in a two-level supply chain with multiple retailers. Three levels of information sharing are given and the optimal inventory policy under each level is derived. We show that both the inventory level and expected cost of the manufacturer decrease with an increase in the level of information sharing.

Suggested Citation

  • T C E Cheng & Y N Wu, 2005. "The impact of information sharing in a two-level supply chain with multiple retailers," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(10), pages 1159-1165, October.
    • Handle: RePEc:pal:jorsoc:v:56:y:2005:i:10:d:10.1057_palgrave.jors.2601934
    DOI: 10.1057/palgrave.jors.2601934
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    References listed on IDEAS

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    Cited by:

    1. M M Ali & J E Boylan, 2011. "Feasibility principles for Downstream Demand Inference in supply chains," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 474-482, March.
    2. Tliche, Y. & Taghipour, A. & Canel-Depitre, B., 2019. "Downstream Demand Inference in decentralized supply chains," European Journal of Operational Research, Elsevier, vol. 274(1), pages 65-77.
    3. Taskin, Selda & Lodree Jr., Emmett J., 2010. "Inventory decisions for emergency supplies based on hurricane count predictions," International Journal of Production Economics, Elsevier, vol. 126(1), pages 66-75, July.
    4. Babai, Zied & Boylan, John E. & Kolassa, Stephan & Nikolopoulos, Konstantinos, 2016. "Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris A," European Journal of Operational Research, Elsevier, vol. 252(1), pages 1-26.
    5. Thokozani Patmond Mbhele, 2014. "Antecedents of Quality Information Sharing in the FMCG Industry," Journal of Economics and Behavioral Studies, AMH International, vol. 6(12), pages 986-1003.
    6. Lu, Jizhou & Feng, Gengzhong & Shum, Stephen & Lai, Kin Keung, 2021. "On the value of information sharing in the presence of information errors," European Journal of Operational Research, Elsevier, vol. 294(3), pages 1139-1152.
    7. Choi, Tsan-Ming & Sethi, Suresh, 2010. "Innovative quick response programs: A review," International Journal of Production Economics, Elsevier, vol. 127(1), pages 1-12, September.
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    9. Khan, Mehmood & Hussain, Matloub & Saber, Hussein M., 2016. "Information sharing in a sustainable supply chain," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 208-214.
    10. Mu-Chen Chen & Taho Yang & Chi-Tsung Yen, 2007. "Investigating the value of information sharing in multi-echelon supply chains," Quality & Quantity: International Journal of Methodology, Springer, vol. 41(3), pages 497-511, June.
    11. Choi, Tsan-Ming & Chow, Pui-Sze, 2008. "Mean-variance analysis of Quick Response Program," International Journal of Production Economics, Elsevier, vol. 114(2), pages 456-475, August.
    12. Babai, M.Z. & Boylan, J.E. & Syntetos, A.A. & Ali, M.M., 2016. "Reduction of the value of information sharing as demand becomes strongly auto-correlated," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 130-135.
    13. Zhao, Qiu-Hong & Cheng, T.C.E., 2009. "An analytical study of the modification ability of distribution centers," European Journal of Operational Research, Elsevier, vol. 194(3), pages 901-910, May.
    14. Y Barlas & B Gunduz, 2011. "Demand forecasting and sharing strategies to reduce fluctuations and the bullwhip effect in supply chains," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 458-473, March.
    15. Tang, Christopher S., 2006. "Perspectives in supply chain risk management," International Journal of Production Economics, Elsevier, vol. 103(2), pages 451-488, October.
    16. Wang, Jian-Cai & Lau, Hon-Shiang & Lau, Amy Hing Ling, 2008. "How a retailer should manipulate a dominant manufacturer's perception of market and cost parameters," International Journal of Production Economics, Elsevier, vol. 116(1), pages 43-60, November.
    17. N Lehoux & S D'Amours & Y Frein & A Langevin & B Penz, 2011. "Collaboration for a two-echelon supply chain in the pulp and paper industry: the use of incentives to increase profit," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 581-592, April.
    18. Dong, Ciwei & Yang, Yunpeng & Zhao, Ming, 2018. "Dynamic selling strategy for a firm under asymmetric information: Direct selling vs. agent selling," International Journal of Production Economics, Elsevier, vol. 204(C), pages 204-213.
    19. Babai, M.Z. & Ali, M.M. & Boylan, J.E. & Syntetos, A.A., 2013. "Forecasting and inventory performance in a two-stage supply chain with ARIMA(0,1,1) demand: Theory and empirical analysis," International Journal of Production Economics, Elsevier, vol. 143(2), pages 463-471.
    20. Haoxuan Zheng & Xingwei Li & Xiaowen Zhu & Yicheng Huang & Zhili Liu & Yuxin Liu & Jiaxin Liu & Xiangye Li & Yuejia Li & Chunhui Li, 2022. "Impact of Recycler Information Sharing on Supply Chain Performance of Construction and Demolition Waste Resource Utilization," IJERPH, MDPI, vol. 19(7), pages 1-22, March.
    21. Xu, Kefeng & Leung, Mark T., 2009. "Stocking policy in a two-party vendor managed channel with space restrictions," International Journal of Production Economics, Elsevier, vol. 117(2), pages 271-285, February.

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