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

Zhi Jun Fan; Zhao Liang Jiang; Zhi Li

doi:10.4028/www.scientific.net/AMR.500.466

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 500Multi-Objective Optimization of Product...

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

Abstract:

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.

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Periodical:

Advanced Materials Research (Volume 500)

Pages:

466-471

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.500.466

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Online since:

April 2012

Authors:

Zhi Jun Fan, Zhao Liang Jiang, Zhi Li

Keywords:

Customers Satisfaction, GA, Multi-Objective Optimization (MOP), Product Configuration

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