关键词: 供应链, 产能优化配置, 粒子群优化算法, 多目标优化

Abstract: According to the characteristics of collaboration under supply chain environment, the optimal allocation of production capacity oriented to downstream enterprises demand was studied. Aiming at the enterprise profit maximization, the equipment utilization ratio and the demand saturation of downstream enterprises, a deliverability optimizing allocation model was established, and a multi-objective particle swarm optimization algorithm was designed based on elite set. Combined with the constraints feature of model, the fitness function based on penalty function thought was designed by using constraint-satisfaction technology, and repair rules for infeasible solution were proposed. Aiming at the features of multi-objective optimization, the elite set was established to save non-inferior solution, and the elite set was updated with Pareto optimal theory. Based on elite set pruning strategy of k-means clustering, the scale of elite set and the distribution of particle were ensured. Experiment results showed the effectiveness and feasibility of proposed model and algorithm.

Key words: supply chains, optimal allocation of production capacity, particle swarm optimization, multi-objective optimization