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Optimization of collaborative transportation scheduling in supply chain management with TPL using chemical reaction optimization

Optimization includes resources and existing technologies at the best possible way. We have studied and analyzed the characteristics of transportation vehicle scheduling problem in supply chain management with third party logistics enterprise. At first, we have classified all the transportation nodes into three distinct classifications. In this paper, a collaborative transportation scheduling strategy is proposed based on two special kinds of transportation nodes that have integrated the self-support vehicle and TPL vehicle resource. Then, depending on the transport criteria of each kind of transportation nodes, we have proposed a chemical reaction optimization algorithm with four reaction operators to minimize the transportation cost. The simulation results demonstrate that the proposed approach is practical and efficient than existing ACO based solution.