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Dynamic Collection Strategy and Coordination of a Remanufacturing Closed-Loop Supply Chain under Uncertainty

机译:不确定条件下再制造闭环供应链的动态收集策略与协调

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This paper aims to investigate the uncertainty factors that impact the collection strategy of a remanufacturing closed-loop supply chain. The basis of this type of supply chain is the collection of used products, without which the remanufacturing of new products would be out of the question. In this paper, we considered the effect of stochastic disturbance on the collection process in a closed-loop supply chain consisting of a manufacturer and a retailer, in which the manufacturer is responsible for collecting the used products. Considering stochastic disturbance, in this research, we proposed a stochastic collection model, and derived the feedback control strategies for both the manufacturer and retailer. Next, we investigated the evolutionary path and probability distribution of the stochastic return rate. Finally, we proposed a contract to coordinate the decentralized closed-loop supply chain. The results showed that the manufacturer would improve the level of return effort as the intensity of stochastic disturbance increases. However, the disturbance would not affect the pricing strategies of the supply chain members. As a result of the stochastic disturbance, the return rate always hovered around the expected return rate, while the expectation and variance of the return rate remained stable from a long-term perspective. The expected value and variance of the return rate could decrease or increase with time, depending on the value of the initial return rate of the system.
机译:本文旨在研究影响再制造闭环供应链收集策略的不确定性因素。这种供应链的基础是旧产品的收集,没有这些产品,新产品的再制造将是不可能的。在本文中,我们考虑了由制造商和零售商组成的闭环供应链中的随机干扰对收集过程的影响,其中制造商负责收集使用过的产品。考虑到随机干扰,本研究提出了一种随机收集模型,并导出了制造商和零售商的反馈控制策略。接下来,我们研究了随机收益率的演化路径和概率分布。最后,我们提出了一项合同,以协调分散式闭环供应链。结果表明,随着随机干扰强度的增加,制造商将提高返回工作的水平。但是,干扰不会影响供应链成员的定价策略。由于随机扰动,收益率始终徘徊在预期收益率附近,而从长期的角度来看,收益率的期望和方差保持稳定。收益率的期望值和方差可能会随时间而减少或增加,具体取决于系统的初始收益率的值。

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