关键词: 顾客偏好, 产品变体, 制造复杂性, 并行混流装配, 调度, 双层遗传算法

Abstract: To balance the contradictory between product diversity and manufacturing complexity of parallel mixed-model assembly system,the system complexity evaluation method was proposed based on information entropy,and the product process of customers'choice was illustrated according to the customer utility.Multi-objective optimization model which combined with the requirement of system balance efficiency was constructed by considering two objectives such as maximizing the market share of product family and minimizing manufacturing complexity.A two layer genetic algorithm for solving this kind of problem was proposed.The optimal product mix and scheduling scheme were acquired under the given objective.The feasibility and effectiveness of proposed approach was verified by the contrast of numerical examples.

Key words: customer preference, product variety, manufacturing complexity, parallel mixed-model assembly, scheduling, two layer genetic algorithm