考虑学习效应的可复用物流容器供应链的最优运作决策研究

本文研究了单个制造商通过可复用物流容器将产品送至单个零售商的闭环供应链，在可复用物流容器回收处理后得到的数量小于发出时数量的条件下，本文考虑可以通过工人操作过程中存在的学习效应来降低可复用物流容器的丢弃率。本文构建了两个模型：模型1未考虑维修中心工人操作过程中存在的学习效应，可复用容器的丢弃率为随机变量；模型2考虑维修中心工人在操作过程中存在学习效应，使得可复用物流容器的丢弃率不断降低。通过定量分析确定了最小联合库存总成本下的最优运行周期、货物配送次数以及可复用容器配送次数。结果表明，在任一供应链参与者不采取降本措施的情况下，仅考虑工人在操作过程中存在的学习效应就可以起到降低容器丢弃率、节约总成本的效果。此外，本文还分析了制造商可以支付给工人的最大维修费用，为企业的成本投入预算提供决策依据。

Optimal Operation Decision of Reusable Transport Items Supply Chain Considering Learning Effect

In recent years, more and more attention has been paid to carbon emission and sustainable development of supply chain. Returnable transport items(RTIs) have been widely concerned in academia and enterprises. However, the number of RTIs after recycling is less than the quantity when it is sent out, which not only causes the reduction of enterprise assets, but also may cause the shortage of downstream manufacturers. At present, different methods have been considered to reduce the number of RTIs lost, but no study has considered the effect of learning effect on the reduction of RTIs loss rate. Therefore, based on the consideration that recycling of RTIs is manually operated and the work content is highly repetitive, it is assumed that the learning effect of workers can reduce the discarding rate of RTIs, In order to minimize the total cost of supply chain, two models are constructed. The first model does not consider the learning effect, the discarding rate of reusable containers is a random variable, and the second model considers the learning effect, and the discarding rate of reusable containers decreases continuously. By comparing the two models, the influence of learning effect on RTIs discarding rate and total cost of supply chain is discussed.