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首页> 外文期刊>International Journal of Production Research >Quick response strategy with cleaner technology in a supply chain: coordination and win-win situation analysis
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Quick response strategy with cleaner technology in a supply chain: coordination and win-win situation analysis

机译：供应链中采用更清洁技术的快速响应策略：协调与双赢情况分析

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摘要

Quick response strategy (QRS) has been widely adopted in a supply chain where members collect timely market information for better forecasting, and then respond promptly to the market changes by adjusting initial inventory decision. After adopting the QRS, sustainability issues such as greenhouse gas emission and energy waste may be more serious as production lead time is shorter. In this study, due to this dilemma, we develop a two-stage quick response supply chain with cleaner technology, where the manufacturer determines the cleaner technology investment and afterwards the retailer decides the ordering quantity. Based on Bayesian theory, we depict an information updating process for the QRS with cleaner technology. First, we find that the inventory service level significantly affects both manufacturer's and retailer's performance under the QRS with cleaner technology. Moreover, our analytical results indicate that the performance of centralised supply chain system is always better than the decentralised one. As a result, we propose two supply chain contracts, minimum ordering quantity (MOQ) and MOQ with buyback (MOQ-BB) to achieve supply chain coordination. Comparing with the MOQ, the MOQ-BB is more flexible to allow better allocation of the additional' expected profit between the channel members through the buyback price negotiation.
机译：快速响应策略（QRS）已在供应链中广泛采用，成员可以及时收集市场信息以进行更好的预测，然后通过调整初始库存决策迅速对市场变化做出响应。采用QRS后，随着生产提前期的缩短，诸如温室气体排放和能源浪费等可持续性问题可能会更加严重。在此研究中，由于存在这一难题，我们开发了一个具有清洁技术的两阶段快速响应供应链，其中制造商确定清洁技术投资，然后零售商确定订购数量。基于贝叶斯理论，我们描述了采用更清洁技术的QRS信息更新过程。首先，我们发现在采用清洁技术的QRS下，库存服务水平显着影响制造商和零售商的绩效。而且，我们的分析结果表明，集中式供应链系统的性能始终优于分散式系统。因此，我们提出了两个供应链合同，即最小订购量（MOQ）和带回购的最小订货量（MOQ-BB）以实现供应链协调。与起订量相比，起订量BB更灵活，可以通过回购价格协商在渠道成员之间更好地分配额外的预期利润。

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