关键词: 复杂产品定制, 客户需求, 工程特性, 质量功能配置, 人工免疫系统, 产品设计, 数控机床

Abstract: To actualize the flexible and rapid design for complex products of customization,a linguistic multiple attribute group decision model of maximum deviation based on Quality Function Deployment (QFD) and the design model based on Artificial Immune System (AIS) were proposed.To translate the customer fuzzy requirements into engineering characteristics of customized products design,the semantics of customer requirements were analyzed and evaluated,and the output engineering characteristics of House of Quality (HOQ) were regard as antigen and described with gene coding through the improved information entropy immune algorithm.The self-learning and self-adaption were realized through the crossover and mutation of AIS.By updating memory cell bank,immune response was achieved,and the best customized product design was acquired.The customized CNC machine design was taken as an example to translate the personalized customized requirements into engineering characteristics through HOQ,and these characteristics were described with antigen encoding.The immune response for antibodies in database was occurred,which could design CNC machine with maximum customer satisfaction accurately,efficiently and intelligently.The feasibility and effectiveness of the design based on QFD and AIS was validated.

Key words: complex products customization, customer requirements, engineering characteristics, quality function deployment, artificial immune system, product design, CNC machine