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FUZZY SUPPLY CHAIN COORDINATION MECHANISM WITH IMPERFECT QUALITY ITEMS

机译:具有不完美品质的模糊供应链协调机制

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摘要

We study the supply chain (SC) returning strategy and quantity discount coordination under the condition of product quality defects. We assume that the demand is a triangular fuzzy number (TFN), considering the SC coordination problem consisting of a manufacturer and a retailer. The decentralized SC coordination model and the integrated SC coordination model under a fuzzy environment are established respectively. The fuzzy set theory is used to study the manufacturer's quantity discount and the retailer's coordination of return policy. The signed distance is used as the ranking method to find the optimal order quantity in SC, and the optimization theory is used to maximize the participants' profits. We first demonstrate that the retailer's profit will be reduced in a typical integrated channel, and then we propose a quantitative discount return policy to coordinate the profits of the manufacturer and the retailer. Finally, the coordination steps are designed, and the manufacturer's return policy is given. Meanwhile, some illustrative cases are provided to illustrate the feasibility of the proposed model.
机译:我们研究了产品质量缺陷条件下的供应链(SC)退回策略和数量折扣协调。我们认为,考虑由制造商和零售商组成的SC协调问题,需求是三角形模糊数(TFN)。分别建立了分散的SC协调模型和模糊环境下的集成SC协调模型。模糊集理论用于研究制造商的数量折扣和零售商对退货政策的协调。符号距离用作找到SC中最佳订单数量的排名方法,并且优化理论用于最大化参与者的利润。我们首先表明零售商的利润将在典型的综合渠道中减少,然后我们提出了定量折扣退货政策,以协调制造商和零售商的利润。最后,设计了协调步骤,并给出了制造商的退货政策。同时,提供了一些说明性情况以说明所提出的模型的可行性。

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