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.