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Role of forecast effort on supply chain profitability under various information sharing scenarios

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  • Zhu, Xiaowei
  • Mukhopadhyay, Samar K.
  • Yue, Xiaohang

Abstract

In this paper, we consider a manufacturer who sells a product to a retailer in a single selling season. Each party obtains a forecast of the market demand independent of each other. We study three different forecast scenarios: Non-Information Sharing, Information Sharing, and Retailer Forecasting cases. In the first scenario, both parties make their forecasts, but do not share the information with the other firm. In the second scenario, they share the information with each other, while in the last scenario, only the retailer makes the forecast, and shares it with the manufacturer. Noting that the forecast accuracy comes at a cost, we derive the optimal price and forecast accuracy level for each of the three cases. We then compare the optimal policies of the three cases and derive conditions under which the two parties should share information with each other. Results of extensive numerical experimentation are also presented.

Suggested Citation

  • Zhu, Xiaowei & Mukhopadhyay, Samar K. & Yue, Xiaohang, 2011. "Role of forecast effort on supply chain profitability under various information sharing scenarios," International Journal of Production Economics, Elsevier, vol. 129(2), pages 284-291, February.
    • Handle: RePEc:eee:proeco:v:129:y:2011:i:2:p:284-291
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    3. Serel, Doğan A., 2012. "Multi-item quick response system with budget constraint," International Journal of Production Economics, Elsevier, vol. 137(2), pages 235-249.
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    6. Bian, Junsong & Guo, Xiaolei & Lai, Kin Keung & Hua, Zhongsheng, 2014. "The strategic peril of information sharing in a vertical-Nash supply chain: A note," International Journal of Production Economics, Elsevier, vol. 158(C), pages 37-43.
    7. Eksoz, Can & Mansouri, S. Afshin & Bourlakis, Michael, 2014. "Collaborative forecasting in the food supply chain: A conceptual framework," International Journal of Production Economics, Elsevier, vol. 158(C), pages 120-135.
    8. Ting Zhang & Xiaowei Zhu & Qinglong Gou, 2017. "Demand Forecasting and Pricing Decision with the Entry of Store Brand under Various Information Sharing Scenarios," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(02), pages 1-26, April.
    9. Bian, Wenliang & Shang, Jennifer & Zhang, Juliang, 2016. "Two-way information sharing under supply chain competition," International Journal of Production Economics, Elsevier, vol. 178(C), pages 82-94.
    10. Choi, Tsan-Ming & Ma, Cheng & Shen, Bin & Sun, Qi, 2019. "Optimal pricing in mass customization supply chains with risk-averse agents and retail competition," Omega, Elsevier, vol. 88(C), pages 150-161.
    11. Tsan-Ming Choi, 2016. "Multi-period risk minimization purchasing models for fashion products with interest rate, budget, and profit target considerations," Annals of Operations Research, Springer, vol. 237(1), pages 77-98, February.
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