Requirements from engineering or customers may result in product configuration change with product life cycle, effective management of product configuration can actually enhance productivity and customer satisfaction. The study aims to develop a 3-phase evaluation model incorporating fuzzy theory, value engineering and multi-objective programming to find optimal strategies for product configuration change, so as to select suitable combination of parts suppliers. Genetic algorithm was used to solve issue concerned with part change in shorten time with part quality, cost, time and reliability as evaluation parameters. Finally, as a case study, the display module of notebook was analyzed, the results indicates that the evaluation can be effectively applied in large-scale product configuration change.