具有不确定需求信息的双渠道供应链协调

IF 1.9 3区 工程技术 Q3 MANAGEMENT
Yanping Liu;Bo Yan;Xiaoxu Chen
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引用次数: 1

摘要

需求信息的不确定性增加了供应链决策的难度,特别是考虑到库存成本的影响。本文研究了一个两梯次双通道生鲜农产品供应链,利用Stackelberg博弈讨论了最优决策和信息共享的价值。为了消除供应链各方之间的双重边缘化效应,引入两部分线性关税契约进行协调。结果表明,信息共享对制造商有利,但对零售商不利。库存和短缺成本将降低制造商的最优定价和保鲜努力水平。当制造商高估零售商预测的市场需求时,信息不对称会增加制造商的库存。研究结果为有效的供应链管理提供了重要的管理启示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Coordination of dual-channel supply chains with uncertain demand information
Uncertain demand information increases the difficulty of decision-making in supply chains, especially in the light of inventory costs. This article researches a two-echelon dual-channel fresh agricultural product (FAP) supply chain, and discusses optimal decision-making and the value of information sharing using the Stackelberg game. To eliminate the double marginalization effect between supply chain parties, a two-part linear tariff contract is introduced for coordination. The results show that information sharing is always profitable for the manufacturer, but not for the retailer. The inventory and shortage costs will reduce the manufacturer's optimal pricing and fresh-keeping effort level. When the manufacturer overestimates the market demand predicted by the retailer, asymmetric information will increase the manufacturer's inventory. The results provide important managerial implications for effective supply chain management.
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来源期刊
IMA Journal of Management Mathematics
IMA Journal of Management Mathematics OPERATIONS RESEARCH & MANAGEMENT SCIENCE-MATHEMATICS, INTERDISCIPLINARY APPLICATIONS
CiteScore
4.70
自引率
17.60%
发文量
15
审稿时长
>12 weeks
期刊介绍: The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.
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