Abstract
In this paper, a multi-commodity multimodal supply chain network is designed for intelligent manufacturing. Manufacturing units need to provide raw materials at the lowest possible cost. Therefore, an efficient transportation system should be adopted to make delivery on-time. It is assumed that commodities and raw materials are transported by logistic hubs with the characteristic of splitting by different transportation modes. The capacity of all hubs and transportation modes is considered to be limited. Thus, this study aims to find the optimal location of hubs and other elements for making the network efficient. A mixed integer linear programming model is proposed to minimize the total logistics costs. Some numerical example is presented to show the validity and effectiveness of the model.
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