Bilateral information sharing in a supply chain with manufacturer competition

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Infor Pub Date : 2022-07-06 DOI:10.1080/03155986.2022.2094632
Huimin Zhang, Z. Lou, Fujun Hou
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Abstract

Abstract Information sharing has been regarded as a way to coordinate or to optimize the whole supply chain. Prior literature focuses on unilateral information sharing in a supply chain with single or substitutable products. This paper explores bilateral demand information sharing in a supply chain, in which two competing manufacturers provide substitutable products to a common retailer. All supply chain members have partial forecast information about the market demand. We establish three pricing decision models and derive the corresponding results by backward induction to study the effects of bilateral information sharing on pricing and expected profits of supply chain members under three information sharing strategies. The results show that (i) information sharing decreases the positive effect of manufacturer’s demand forecast on the optimal price, but increases the positive effect of retailer’s demand forecast; (ii) information sharing benefits two manufacturers and hurts the retailer, whereas benefits the whole supply chain under certain conditions; (iii) the retailer prefers to share information with one of manufacturers rather than both of manufacturers. Finally, we also provide some managerial insights with the help of computational studies.
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具有制造商竞争的供应链中的双边信息共享
摘要信息共享已被视为协调或优化整个供应链的一种方式。先前的文献主要关注单一或可替代产品的供应链中的单边信息共享。本文研究了供应链中两个相互竞争的制造商向一个共同的零售商提供可替代产品的双边需求信息共享问题。所有供应链成员对市场需求都有部分预测信息。我们建立了三个定价决策模型,并通过逆向归纳得出了相应的结果,研究了三种信息共享策略下双边信息共享对供应链成员定价和期望利润的影响。结果表明:(1)信息共享降低了制造商需求预测对最优价格的正向影响,而增加了零售商需求预测对最优价格的正向影响;(ii)信息共享对两个制造商有利,对零售商不利,但在一定条件下对整个供应链有利;(iii)零售商更愿意与其中一家制造商共享信息,而不是与两家制造商共享信息。最后,我们还借助计算研究提供了一些管理见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Infor
Infor 管理科学-计算机:信息系统
CiteScore
2.60
自引率
7.70%
发文量
16
审稿时长
>12 weeks
期刊介绍: INFOR: Information Systems and Operational Research is published and sponsored by the Canadian Operational Research Society. It provides its readers with papers on a powerful combination of subjects: Information Systems and Operational Research. The importance of combining IS and OR in one journal is that both aim to expand quantitative scientific approaches to management. With this integration, the theory, methodology, and practice of OR and IS are thoroughly examined. INFOR is available in print and online.
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