Optimization Design Method of PSS Based on GA and QFD

Zhang Jianmin; Zhou Jun; Liang Hui

doi:doi:10.11648/j.sr.20160405.15

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Optimization Design Method of PSS Based on GA and QFD

Zhang Jianmin, Zhou Jun, Liang Hui

Published in Science Research (Volume 4, Issue 5)

Received: 19 October 2016 Accepted: 5 November 2016 Published: 8 December 2016

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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.

Published in	Science Research (Volume 4, Issue 5)
DOI	10.11648/j.sr.20160405.15
Page(s)	133-140
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Product Service System (PSS), Optimization Design Method, Quality Function Deployment (QFD), Genetic Algorithms (GA)

References

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[2]	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.
[3]	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.
[4]	Mont O, Clarifying the concept of product service system [J]. Cleaner Production, 2002, 3(10):237-245.
[5]	Mont O, Product-service systems: Panacea or myth?[J]. Doctoral Dissertation, 2004, LundUniversity, Sweden.
[6]	Tukker Arnold. Eight types of product-service system: eight ways to sustainability? Experiencefrom suspronet[J]. Business Strategy and the Environment, 2004, 13:246-260.
[7]	Sakao T, Lindahl M. Introduction/Service-system Design[M]. [s.l.]: Spring Verlag, 2009.
[8]	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.
[9]	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.
[10]	Wasserman, X. P., Bode, J., Ren, S. J. Neural networks in quality function deployment. Computers and Industrial Engineering. 1996, 31(3/4): 669-673.
[11]	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.
[12]	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.

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APA Style

Zhang Jianmin, Zhou Jun, Liang Hui. (2016). Optimization Design Method of PSS Based on GA and QFD. Science Research, 4(5), 133-140. https://doi.org/10.11648/j.sr.20160405.15

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ACS Style

Zhang Jianmin; Zhou Jun; Liang Hui. Optimization Design Method of PSS Based on GA and QFD. Sci. Res. 2016, 4(5), 133-140. doi: 10.11648/j.sr.20160405.15

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AMA Style

Zhang Jianmin, Zhou Jun, Liang Hui. Optimization Design Method of PSS Based on GA and QFD. Sci Res. 2016;4(5):133-140. doi: 10.11648/j.sr.20160405.15

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@article{10.11648/j.sr.20160405.15,
  author = {Zhang Jianmin and Zhou Jun and Liang Hui},
  title = {Optimization Design Method of PSS Based on GA and QFD},
  journal = {Science Research},
  volume = {4},
  number = {5},
  pages = {133-140},
  doi = {10.11648/j.sr.20160405.15},
  url = {https://doi.org/10.11648/j.sr.20160405.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20160405.15},
  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.},
 year = {2016}
}

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TY  - JOUR
T1  - Optimization Design Method of PSS Based on GA and QFD
AU  - Zhang Jianmin
AU  - Zhou Jun
AU  - Liang Hui
Y1  - 2016/12/08
PY  - 2016
N1  - https://doi.org/10.11648/j.sr.20160405.15
DO  - 10.11648/j.sr.20160405.15
T2  - Science Research
JF  - Science Research
JO  - Science Research
SP  - 133
EP  - 140
PB  - Science Publishing Group
SN  - 2329-0927
UR  - https://doi.org/10.11648/j.sr.20160405.15
AB  - 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.
VL  - 4
IS  - 5
ER  -

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Author Information

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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APA Style

Zhang Jianmin, Zhou Jun, Liang Hui. (2016). Optimization Design Method of PSS Based on GA and QFD. Science Research, 4(5), 133-140. https://doi.org/10.11648/j.sr.20160405.15

Copy | Download

ACS Style

Zhang Jianmin; Zhou Jun; Liang Hui. Optimization Design Method of PSS Based on GA and QFD. Sci. Res. 2016, 4(5), 133-140. doi: 10.11648/j.sr.20160405.15

Copy | Download

AMA Style

Zhang Jianmin, Zhou Jun, Liang Hui. Optimization Design Method of PSS Based on GA and QFD. Sci Res. 2016;4(5):133-140. doi: 10.11648/j.sr.20160405.15

Copy | Download

@article{10.11648/j.sr.20160405.15,
  author = {Zhang Jianmin and Zhou Jun and Liang Hui},
  title = {Optimization Design Method of PSS Based on GA and QFD},
  journal = {Science Research},
  volume = {4},
  number = {5},
  pages = {133-140},
  doi = {10.11648/j.sr.20160405.15},
  url = {https://doi.org/10.11648/j.sr.20160405.15},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sr.20160405.15},
  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.},
 year = {2016}
}

Copy | Download

TY  - JOUR
T1  - Optimization Design Method of PSS Based on GA and QFD
AU  - Zhang Jianmin
AU  - Zhou Jun
AU  - Liang Hui
Y1  - 2016/12/08
PY  - 2016
N1  - https://doi.org/10.11648/j.sr.20160405.15
DO  - 10.11648/j.sr.20160405.15
T2  - Science Research
JF  - Science Research
JO  - Science Research
SP  - 133
EP  - 140
PB  - Science Publishing Group
SN  - 2329-0927
UR  - https://doi.org/10.11648/j.sr.20160405.15
AB  - 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.
VL  - 4
IS  - 5
ER  -

Copy | Download