顾客需求驱动的产品配置优化

Customer Requirements-Driven Product Configuration Optimization

提出一种顾客需求驱动的产品配置优化方法.该方法针对现有产品族模型用于配置设计中存在的问题,构造了支持产品配置的设计空间,并运用联合分析方法将顾客期望分解为各产品特性的质量效用.在此基础上,同时考虑大批量定制产品的质量效用和成本,以“效费比”最大为目标,建立了产品优化配置数学模型,并采用遗传算法对其进行求解,从而达到了顾客满意度和成本之间的平衡——最优配置方案.以笔记本电脑的优化配置为例,证明了所提出的优化配置方法可为获取顾客满意的最优配置方案提供行之有效的途径.

A new approach for customer-driven product configuration optimization is proposed. Configuration space against the defects of product family model is constructed for targeting diversity of customer needs and conjoint analysis is applied to decompose the customer preference into the utility of different product attributes. Subsequently, a mathematic model to maximize the ratio between the overall utility and cost from both customers and manufacturers perspectives is formulated, and a genetic algorithm is adopted to solve this combinatory optimization problem. A case study of notebook computer is then reported to illustrate the validity of the proposed method and associated algorithms, which demonstrates that the proposed approach provides an effective means for assemble-to-order manufacturing enterprises to acquire the customer-satisfied configuration solution.