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Optimization Design Method of PSS Based on GA and QFD
Science Research
Volume 4, Issue 5, October 2016, Pages: 133-140
Received: Oct. 19, 2016; Accepted: Nov. 5, 2016; Published: Dec. 8, 2016
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Authors
Zhang Jianmin, College of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai, China
Zhou Jun, College of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai, China
Liang Hui, College of Mechanical Engineering, Shanghai University of Engineering Science, Shanghai, China
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Abstract
Due to sustainable production and consumption, customer-centric business model, increasingly homogenization of products and other factors, manufacturers had to adjust existing design and production mode, making their focus gradually shifted from a single product design and production model to a integration system solution which contains product and serviceto meet the customers’ need. Product Service Systemis a new ideal proposed to adapt this strategy shift of Manufacturer Company. In this paper, proposing the optimization design method of Product service system based on Quality Function Deployment (QFD) and Genetic Algorithms (GA) to solve the problem as normative in design process, unity in design result and other problems.
Keywords
Product Service System (PSS), Optimization Design Method, Quality Function Deployment (QFD), Genetic Algorithms (GA)
To cite this article
Zhang Jianmin, Zhou Jun, Liang Hui, Optimization Design Method of PSS Based on GA and QFD, Science Research. Vol. 4, No. 5, 2016, pp. 133-140. doi: 10.11648/j.sr.20160405.15
Copyright
Copyright © 2016 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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