Fulfillment lead time and capacity decisions under demand chasing

IF 1.1 4区 计算机科学 Q4 COMPUTER SCIENCE, INFORMATION SYSTEMS Infor Pub Date : 2022-06-13 DOI:10.1080/03155986.2022.2085944
C. Chen
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Abstract

Abstract For fashion products that have rather uncertain consumer demands, retailers can use the demand-chasing tactic to mitigate the uncertainty. Specifically, the demand-chasing retailer can place small, initial orders to identify which products are popular and then press suppliers to deliver expedited reorders. Moreover, the retailer can reduce the required lead time, and the supplier can either ramp up capacity levels to fulfill the reorders in a timely manner or face hefty penalties. However, the supplier prefers receiving firm order commitments as far in advance as possible for better capacity planning. This conflict of interest regarding capacity levels creates tension, especially if the supplier and retailer have unequal channel powers. The goal of this research is to provide a better understanding of the required lead time and how it affects capacity decisions in a decentralized supply chain. We use game-theoretic models to show the implications of required lead time and channel power on capacity decisions. In addition, we propose contract mechanisms that can coordinate the supply chain and optimize capacity levels.
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需求追踪下的交货时间和产能决策
对于消费者需求具有较大不确定性的时尚产品,零售商可以采用需求追逐策略来缓解不确定性。具体来说,追逐需求的零售商可以下小的初始订单,以确定哪些产品受欢迎,然后要求供应商提供快速的再订单。此外,零售商可以减少所需的交货时间,供应商可以提高产能水平以及时完成再订货,否则将面临巨额罚款。然而,供应商希望尽可能提前收到确定的订单承诺,以便更好地进行产能规划。这种关于产能水平的利益冲突造成了紧张关系,特别是当供应商和零售商拥有不平等的渠道权力时。本研究的目的是更好地理解所需的交货时间,以及它如何影响分散供应链中的产能决策。我们使用博弈论模型来显示所需前置时间和渠道功率对容量决策的影响。此外,我们提出了能够协调供应链和优化产能水平的合同机制。
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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