Optimization Design Method of PSS Based on GA and QFD
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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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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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.
Product Service System (PSS), Optimization Design Method, Quality Function Deployment (QFD), Genetic Algorithms (GA)
To cite this article
Optimization Design Method of PSS Based on GA and QFD, Science Research.
Vol. 4, No. 5,
2016, pp. 133-140.
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E. Sundin, B. Bras, Making functional sales environmentally and economicallybeneficial through product remanufacturing, J. Clean. Prod. 13 (9) (2005)913–925.
J. Lindstro ¨m, M. Lo fstrand, M. Karlberg, L. Karlsson, A development process forfunctional products: hardware, software, service support system andmanagement of operation, Int. J. Prod. Dev. 16 (3) (2012) 284–303.
Min Qu, Suihuai Yu, Dengkai Chen, Jianjie Chu, BaozhenTian, State-of-the-art of design, evaluation, and operation methodologies inproduct service systems. Computers in Industry 77 (2016) 1–14.
Mont O, Clarifying the concept of product service system [J]. Cleaner Production, 2002, 3(10):237-245.
Mont O, Product-service systems: Panacea or myth?[J]. Doctoral Dissertation, 2004, LundUniversity, Sweden.
Tukker Arnold. Eight types of product-service system: eight ways to sustainability? Experiencefrom suspronet[J]. Business Strategy and the Environment, 2004, 13:246-260.
Sakao T, Lindahl M. Introduction/Service-system Design[M]. [s.l.]: Spring Verlag, 2009.
SUNDIN E, LINDAHL M, IJOMAH W. Product design for product/service systems: Designexperience from Swedish industry[J]. Journal of Manufacturing Technology Management, 2009, 20(5):723-753.
David BL, Andrew K. Case-Based CBR: capturing and reusing reasoning about case adaptation [J].International Journal of Expert Systems, 1997, 10(2):201-215.
Wasserman, X. P., Bode, J., Ren, S. J. Neural networks in quality function deployment. Computers and Industrial Engineering. 1996, 31(3/4): 669-673.
Lu, M. H., Madu, C. N., Kuei, C. and Winokur, D. Integrating QFD, AHP and benchmarkingin strategic marketing. Journal of Business & Industrial Marketing. 1994, 9(1): 41-50.
Hui Liang, Jun Zhou, Sustainable development of product service system design based on analytic hierarchy process. International Journal of Research in Engineering and Science (IJRES). 2015, 3(5):1-8.