Genetic Algorithm for the Multi-Echelon Inventory Problem of Weapon Equipment Repairable Spare Parts

摘要

The multi-echelon inventory control of weapon equipment repairable spare parts is an important problem for equipment support. In this paper, a genetic algorithm for the multi-inventory problem of repairable spare parts was proposed. In the genetic algorithm, a suitable chromosome representation for multi-inventory problem was presented, and the crossover and mutation operators were investigated. To improve the performance, a local search procedure, including two heuristic methods, was implemented and integrated into the algorithm. Computational experiments clearly show that our proposed algorithm can effectively solve the multi-inventory problem of repairable spare parts.