关键词: 产品组合决策, 双层, 可重生, 粒子群算法

Abstract: An integrated two-level Product Mix Decision (PMD) model was established for the practical manufacturing process with regard to the machine load problem and material limitations. The objective of the model was to maximize enterprise's profit by considering constraints such as order requirement, machine capacity and the relationships between in process goods and finished products. To solve the PMD model, a revised multi-layer embedded particle swarm optimization approach was presented and a regenerated Particle Swarm Optimization (PSO) was proposed to improve the quality of the algorithm in real operation. The feasibility and superiority were proved by comparing with genetic algorithm and PSO algorithm through practical production data.

Key words: product mix decision, two-level, regenerated, particle swarm optimization