关键词: 概念设计方案, Kano模型, 形态学分析, 多目标进化算法, Pareto最优, 电冰箱创新设计

Abstract: Aiming at the problem that the demand preferences of customers was not considered in traditional products innovation process,a generation method of product innovation conceptual design schemes was proposed to enhance the accuracy of schemes generation and improve the customer satisfaction.Kano model was used to classify the attribute of product innovation design features based on the analysis of customers'demand preferences.The application scope of morphological analysis was extended to concept level so as to analyze the combination capability of principle solutions to conceptual design schemes.A multi-objective optimal model was established to optimize customer demand preference satisfaction,product innovation cost and product innovativeness,and an improved fast and elitist Non-Dominated Sorting Genetic Algorithm (NSGA-Ⅱ) was applied to solve the model.A serial of conceptual design schemes were presented in the form of Pareto optimal set.A refrigerator innovation design scheme generation was taken as an example to verify the feasibility and effectiveness of this method.

Key words: conceptual design scheme, Kano model, morphological analysis, multi-objective evolutionary algorithm, Pareto optimal, refrigerator innovation design