关键词: 再制造, 两阶段模糊优化, 生产计划, 汽车发动机, 逼近粒子群算法

Abstract: For uncertainty factors existed in remanufacturing process of multi-item automobile engine,a two-stage fuzzy production planning model was constructed under uncertain environment based on credibility theory with the goal of minimizing the production cost.By considering the influences of remanufacturing machining quantity,machining cost,new purchase cost and market demand's uncertainty on remanufacturing production plan under the case of multi-item products recovery,the production process was divided into two stages,and the optimization model of infinite dimensional was transformed into a finite dimensional optimization problem by adopting the method of compensation function approximation.A hybrid particle swarm optimization algorithm based on approximation method was designed to solve the two-stage fuzzy production planning problems.A simulation case of crankshaft flywheel assembly was provided to validate the efficiency and rationality of the proposed approach.

Key words: remanufacturing, two-stage fuzzy optimization, production planning, automobile engine, approximation particle swarm optimization algorithm