Multi-Objective Optimization of Product Configuration Based on Customer's Performance Satisfaction

The aim of product configuration is to satisfy the customer's personality requirements with low manufacturing cost. Based on the relationship of customers performance requirements and satisfaction, a method of product configuration optimization was proposed. The customers performance requirements are divided into three types with Kanos theory. A multi-objective genetic algorithm with objectives of performance satisfaction, manufacturing cost and lead time was designed to solve this multi-objective optimization problem. A case study is conducted to demonstrate the effectiveness of the proposed approach.