The community group buying models and strategic management for fresh food under supply uncertainty

IF 6.7 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Xianjia Wang , Tianrun He
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引用次数: 0

Abstract

This paper explores a community group buying fresh food model with one supplier, one platform and one community leader, where the platform adopts full payment pre-sale model, and the supplier has uncertain supply. We establish profit models for the centralized decision, decentralized decisions and semi-integrated decisions, and obtain management strategies. For decentralized decision-making, we introduce two kinds of wholesale price contracts considering shortage undertaking, and propose a new form of minimum commitment supply contract which enables the platform to obtain the supplier’s compensation for the shortage loss caused by uncertain supply and transfer part of it to the leader. Compared with traditional wholesale price contracts, we prove that the minimum commitment supply contract can coordinate the overall profit of the supply chain and enhance the effort levels of the members. This numerical study shows that whether the average supply is sufficient or short, the optimal decisions and the expected profit of each member of the supply chain increases with the decrease in supply uncertainty.
供给不确定性下的生鲜食品社区团购模式及策略管理
本文探讨了一个供应商、一个平台、一个社区负责人的社区团购生鲜食品模型,其中平台采用全款预售模式,供应商供应不确定。建立了集中决策、分散决策和半集成决策的盈利模型,并得到了管理策略。对于分散决策,我们引入了两种考虑短缺承担的批发价格合同,提出了一种新的最小承诺供应合同形式,使平台能够获得供应商对供应不确定造成的短缺损失的补偿,并将部分补偿转移给领导者。与传统的批发价格契约相比,证明了最小承诺供应契约能够协调供应链的整体利润,提高成员的努力水平。数值研究表明,无论平均供给充足还是短缺,供应链各成员的最优决策和期望利润都随着供给不确定性的降低而增加。
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来源期刊
Computers & Industrial Engineering
Computers & Industrial Engineering 工程技术-工程:工业
CiteScore
12.70
自引率
12.70%
发文量
794
审稿时长
10.6 months
期刊介绍: Computers & Industrial Engineering (CAIE) is dedicated to researchers, educators, and practitioners in industrial engineering and related fields. Pioneering the integration of computers in research, education, and practice, industrial engineering has evolved to make computers and electronic communication integral to its domain. CAIE publishes original contributions focusing on the development of novel computerized methodologies to address industrial engineering problems. It also highlights the applications of these methodologies to issues within the broader industrial engineering and associated communities. The journal actively encourages submissions that push the boundaries of fundamental theories and concepts in industrial engineering techniques.
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