基于遗传算法的港口设备事后维修的单机调度 postprint

Abstract: For the problem of the port equipment maintenance scheduling when it is broken, i. e. corrective maintenance, the maintenance model of port equipment is established through analyzing the dispatching schedule of port equipment. In the model, the neural network algorithm is used to quantify the weight of the equipment to be repaired in the port, and the genetic algorithm is used to minimize the total weighted completion time of the maintenance task and to obtain the optimized maintenance scheduling sequence and the corresponding maintenance schedule. A practical example of port equipment is presented to show the corrective maintenance model is optimized. The results showed that the proposed model saves maintenance time as well as fulfills the maintenance task. The proposed model will provide a valuable reference for planning the port equipment maintenance.