The optimization of materials distribution routing plan in the flow manufacturing system based on multi-objective evolutionary algorithm

The material distribution in a manufacturing system is a crucial factor for the enhancement of production efficiency. The traditional delivery methods for the flow-manufacturing system are usually specified empirically, which often generate an inefficient scheduling plan. Therefore, the current study focuses on these needs and introduces the optimization of materials distribution routing planning (MDRP) with the double evolutionary algorithm. The proposed method takes the shortest path problem, the size of the vehicle fleet problem into account. The contributions of this method are as follows: (i) an improved MDRP mode is proposed to ensure the result more in line with the actual situation; (ii) an improved double evolutionary algorithm is developed to optimize the MDRP model. And an actual example is used to validate the feasibility of the proposed method.