可复用物流资源调度多情景规划模型

针对极端不确定情况下同时调度多种类型、多种型号可复用物流资源调度优化问题，用情景规划方法研究了可复用物流资源调度多情景规划模型. 首先分析了可复用物流资源的特征和基于共用系统的可复用物流资源调度流程；其次考虑了资源可替代和不可替代两种情况，构建了可复用物流资源调度多情景规划模型，并将客户对资源的需求量、待回收资源的数量等因素分成了确定和极端不确定两部分；最后通过算例分析验证了模型的有效性，并基于研究成果提供了构建中欧班列可复用物流资源共用系统的方案. 研究结果表明:应用可复用物流资源调度多情景规划模型可获得较为满意的需求满足率和回收满足率；算例考虑的两种情况下，多情景规划模型比确定模型期望总成本可分别降低1.7%和5.7%. 

Multi-Scenario Optimisation Model for Reusable Logistics Resource Allocation

In order to solve the reusable logistics resource（RLR）allocation problem where some uncertain parameters cannot be estimated using historical data, and the types and dimensions of RLR are varied, a multi-scenario optimisation model for RLR allocation was studied using the method of scenario planning. First, the features of RLR and the RLR allocation processes over a pooling system were analysed. Then, a multi-scenario optimisation model for RLR allocation was presented considering that some kinds of resources were capable of being replaced with other kinds while some other kinds of resources were not. The number of demand, recycle, and some other parameters were divided into two parts（certain and uncertain）in the model. Finally, the validity of the model was proved using a case study and the plan for the China-Europe express railway RLR system was proposed based on the results. The results showed that the proposed multi-scenario could make good demand fulfilment and recycling fulfilment. It was also proved that the total expected cost by using multi-scenario model could be reduced by 1.7% and 5.7%, as opposed to the deterministic models considered in both cases.