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Published in: Chinese Journal of Mechanical Engineering 5/2017

03-08-2017 | Original Article

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

Authors: Xiao-Jie Ma, Guo-Fu Ding, Sheng-Feng Qin, Rong Li, Kai-Yin Yan, Shou-Ne Xiao, Guang-Wu Yang

Published in: Chinese Journal of Mechanical Engineering | Issue 5/2017

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Abstract

With the increasing of complexity of complex mechatronic products, it is necessary to involve multidisciplinary design teams, thus, the traditional customer requirements modeling for a single discipline team becomes difficult to be applied in a multidisciplinary team and project since team members with various disciplinary backgrounds may have different interpretations of the customers’ requirements. A new synthesized multidisciplinary customer requirements modeling method is provided for obtaining and describing the common understanding of customer requirements (CRs) and more importantly transferring them into a detailed and accurate product design specifications (PDS) to interact with different team members effectively. A case study of designing a high speed train verifies the rationality and feasibility of the proposed multidisciplinary requirement modeling method for complex mechatronic product development. This proposed research offersthe instruction to realize the customer-driven personalized customization of complex mechatronic product.

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Literature
1.
go back to reference S F Qin, V Dvd, E Chatzakis, et al. Exploring barriers and opportunities in adopting crowdsourcing based New Product Development in manufacturing SMEs. Chinese Journal of Mechanical Engineering, 2016, 29(6): 1–15. S F Qin, V Dvd, E Chatzakis, et al. Exploring barriers and opportunities in adopting crowdsourcing based New Product Development in manufacturing SMEs. Chinese Journal of Mechanical Engineering, 2016, 29(6): 1–15.
2.
go back to reference M Maletz, J G Blouin, H Schnedl, et al. A Holistic Approach for Integrated Requirements Modeling in the Product Development Process. F L Krause, eds. The Future of Product Development-Proceedings of the 17th CIRP Design Conference. Berlin Heidelberg: Springer, 2007: 197–207. M Maletz, J G Blouin, H Schnedl, et al. A Holistic Approach for Integrated Requirements Modeling in the Product Development Process. F L Krause, eds. The Future of Product Development-Proceedings of the 17th CIRP Design Conference. Berlin Heidelberg: Springer, 2007: 197–207.
3.
go back to reference H Z Zhang, X Han, R Li, et al. A new conceptual design method to support rapid and effective mapping from product design specification to concept design. International Journal of Advanced Manufacturing Technology, 2016, 87(5-8): 2375–2389. H Z Zhang, X Han, R Li, et al. A new conceptual design method to support rapid and effective mapping from product design specification to concept design. International Journal of Advanced Manufacturing Technology, 2016, 87(5-8): 2375–2389.
4.
go back to reference R J Jiao, C H Chen. Customer requirement management in product development: A review of research issues. Concurrent Engineering, 2006, 14(3): 173–185. R J Jiao, C H Chen. Customer requirement management in product development: A review of research issues. Concurrent Engineering, 2006, 14(3): 173–185.
5.
go back to reference J M Mclellan, B Morkos, G G Mocko, et al. Requirement modeling systems for mechanical design: a systematic method for evaluating requirement management tools and languages. ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, Montreal, Quebec, Canada, August 15–18, 2010: 1247–1257. J M Mclellan, B Morkos, G G Mocko, et al. Requirement modeling systems for mechanical design: a systematic method for evaluating requirement management tools and languages. ASME 2010 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, Montreal, Quebec, Canada, August 15–18, 2010: 1247–1257.
6.
go back to reference Z Q Sheng, Y Z Wang, J Y Song, et al. Customer requirement modeling and mapping of numerical control machine[J]. Advances in Mechanical Engineering, 2015, 7(10): 1-11. Z Q Sheng, Y Z Wang, J Y Song, et al. Customer requirement modeling and mapping of numerical control machine[J]. Advances in Mechanical Engineering, 2015, 7(10): 1-11.
7.
go back to reference K A Beiter, K Ishii, H Karandikar. Customer requirements management: methodology selection and deployment guide. ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, Philadelphia, Pennsylvania, USA, September 10–13, 2006: 661–672. K A Beiter, K Ishii, H Karandikar. Customer requirements management: methodology selection and deployment guide. ASME 2006 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, Philadelphia, Pennsylvania, USA, September 10–13, 2006: 661–672.
8.
go back to reference C Stechert, H J Franke. Managing requirements as the core of multi-disciplinary product development. CIRP Journal of Manufacturing Science & Technology, 2009, 1(3): 153–158. C Stechert, H J Franke. Managing requirements as the core of multi-disciplinary product development. CIRP Journal of Manufacturing Science & Technology, 2009, 1(3): 153–158.
9.
go back to reference Q Shan, Y Chen. Product Module Identification Based on Assured Customer Requirements. Procedia Engineering, 2011, 15: 5313–5317. Q Shan, Y Chen. Product Module Identification Based on Assured Customer Requirements. Procedia Engineering, 2011, 15: 5313–5317.
10.
go back to reference S M Bae, S H Ha, C P Sang. A web-based system for analyzing the voices of call center customers in the service industry. Expert Systems with Applications, 2005, 28(1): 29–41. S M Bae, S H Ha, C P Sang. A web-based system for analyzing the voices of call center customers in the service industry. Expert Systems with Applications, 2005, 28(1): 29–41.
11.
go back to reference [11]M D Shieh, W Yan, C H Chen. Soliciting customer requirements for product redesign based on picture sorts and ART2 neural network. Expert Systems with Applications, 2008, 34(1): 194–204. [11]M D Shieh, W Yan, C H Chen. Soliciting customer requirements for product redesign based on picture sorts and ART2 neural network. Expert Systems with Applications, 2008, 34(1): 194–204.
12.
go back to reference B Zhu, Z Wang, H C Yang, et al. Applying fuzzy multiple attributes decision making for product configuration. Journal of Intelligent Manufacturing, 2008, 19(5): 591–598. B Zhu, Z Wang, H C Yang, et al. Applying fuzzy multiple attributes decision making for product configuration. Journal of Intelligent Manufacturing, 2008, 19(5): 591–598.
13.
go back to reference M G Violante, E Vezzetti. A methodology for supporting requirement management tools (RMt) design in the PLM scenario: An user-based strategy. Computers in Industry, 2014, 65(7): 1065–1075. M G Violante, E Vezzetti. A methodology for supporting requirement management tools (RMt) design in the PLM scenario: An user-based strategy. Computers in Industry, 2014, 65(7): 1065–1075.
14.
go back to reference O Yaman, B Zhu, U Roy. Towards the development of an ontology-based product requirement model. ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, Montreal, Quebec, Canada, 2014: V02BT02A062-V02BT02A062. O Yaman, B Zhu, U Roy. Towards the development of an ontology-based product requirement model. ASME 2014 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, Montreal, Quebec, Canada, 2014: V02BT02A062-V02BT02A062.
15.
go back to reference W Wei, A Liu, S C Y Lu, et al. Product requirement modeling and optimization method based on product configuration design. Journal of Trauma, 2015, 36(45): 1–5. W Wei, A Liu, S C Y Lu, et al. Product requirement modeling and optimization method based on product configuration design. Journal of Trauma, 2015, 36(45): 1–5.
16.
go back to reference M Bakhshandeh, G Antunes, R Mayer, et al. A modular ontology for the enterprise architecture domain. 2013 17th IEEE International Enterprise Distributed Object Computing Conference Workshops. IEEE, Vancouver, BC, Sept 9-13, 2013: 5–12. M Bakhshandeh, G Antunes, R Mayer, et al. A modular ontology for the enterprise architecture domain. 2013 17th IEEE International Enterprise Distributed Object Computing Conference Workshops. IEEE, Vancouver, BC, Sept 9-13, 2013: 5–12.
17.
go back to reference Y Li, N Narayan, J Helming, et al. A domain specific requirements model for scientific computing: NIER track. IEEE, Proceedings of the 33rd International Conference on Software Engineering, Waikiki, Honolulu, HI, USA, May 21–28, 2011: 848–851. Y Li, N Narayan, J Helming, et al. A domain specific requirements model for scientific computing: NIER track. IEEE, Proceedings of the 33rd International Conference on Software Engineering, Waikiki, Honolulu, HI, USA, May 21–28, 2011: 848–851.
18.
go back to reference A Goknil, I Kurtev, J V Millo. A metamodeling approach for reasoning on multiple requirements models. IEEE International Enterprise Distributed Object Computing Conference. IEEE Computer Society, Vancouver, BC, Canada, September 9-13, 2013: 159–166. A Goknil, I Kurtev, J V Millo. A metamodeling approach for reasoning on multiple requirements models. IEEE International Enterprise Distributed Object Computing Conference. IEEE Computer Society, Vancouver, BC, Canada, September 9-13, 2013: 159–166.
19.
go back to reference M H Eres, M Bertoni, M Kossmann, et al. Mapping customer needs to engineering characteristics: an aerospace perspective for conceptual design. Journal of Engineering Design, 2014, 25(1): 1–3, 64–87. M H Eres, M Bertoni, M Kossmann, et al. Mapping customer needs to engineering characteristics: an aerospace perspective for conceptual design. Journal of Engineering Design, 2014, 25(1): 1–3, 64–87.
20.
go back to reference X Lai, M Xie, C K Tan. Optimizing product design using the Kano model and QFD. Engineering Management Conference, 2004. Proceedings. 2004 IEEE International. Singapore, Oct 18–21, 2004, 3: 1085–1089. X Lai, M Xie, C K Tan. Optimizing product design using the Kano model and QFD. Engineering Management Conference, 2004. Proceedings. 2004 IEEE International. Singapore, Oct 18–21, 2004, 3: 1085–1089.
21.
go back to reference Y C Lee, L C Sheu, Y G Tsou. Quality function deployment implementation based on Fuzzy Kano model: An application in PLM system. Computers & Industrial Engineering, 2008, 1(1): 48–63. Y C Lee, L C Sheu, Y G Tsou. Quality function deployment implementation based on Fuzzy Kano model: An application in PLM system. Computers & Industrial Engineering, 2008, 1(1): 48–63.
22.
go back to reference D M Zhang, L Wang, X Song. The method research for mapping from customer requirements to technical characteristics in QFD. Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on. IEEE, Deng Feng, China, August 8–10, 2011: 2578–2582. D M Zhang, L Wang, X Song. The method research for mapping from customer requirements to technical characteristics in QFD. Artificial Intelligence, Management Science and Electronic Commerce (AIMSEC), 2011 2nd International Conference on. IEEE, Deng Feng, China, August 8–10, 2011: 2578–2582.
23.
go back to reference K Y Chan, T S Dillon, C K Kwong, et al. Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products. IEEE Conference on Industrial Electronics and Applications. IEEE, Beijing, China, June 21–23 2011: 526–531. K Y Chan, T S Dillon, C K Kwong, et al. Using genetic programming for developing relationship between engineering characteristics and customer requirements in new products. IEEE Conference on Industrial Electronics and Applications. IEEE, Beijing, China, June 21–23 2011: 526–531.
24.
go back to reference M Q Wang, Y S Ma. A systematic method for mapping customer requirements to quality characteristics in product lifecycle[J]. International Journal of Simulation & Process Modelling, 2007, 3(4): 957–960. M Q Wang, Y S Ma. A systematic method for mapping customer requirements to quality characteristics in product lifecycle[J]. International Journal of Simulation & Process Modelling, 2007, 3(4): 957–960.
25.
go back to reference Y H Qin, G X Wei. On mapping approach of CN to FR in product family improvement. 2009 International Conference on Measuring Technology and Mechatronics Automation. IEEE, Zhangjiajie, China, April 11-12, 2009, 3: 794–797. Y H Qin, G X Wei. On mapping approach of CN to FR in product family improvement. 2009 International Conference on Measuring Technology and Mechatronics Automation. IEEE, Zhangjiajie, China, April 11-12, 2009, 3: 794–797.
26.
go back to reference J Jin, P Ji, Y Liu, et al. Translating online customer opinions into engineering characteristics in QFD: A probabilistic language analysis approach. Engineering Applications of Artificial Intelligence, 2015, 41(47): 115–127. J Jin, P Ji, Y Liu, et al. Translating online customer opinions into engineering characteristics in QFD: A probabilistic language analysis approach. Engineering Applications of Artificial Intelligence, 2015, 41(47): 115–127.
27.
go back to reference N G Sun, Y Y Zhang, X S Mei. A simplified systematic method of acquiring design specifications from customer requirements. Journal of Computing & Information Science in Engineering, 2007, 9(3): 296–297. N G Sun, Y Y Zhang, X S Mei. A simplified systematic method of acquiring design specifications from customer requirements. Journal of Computing & Information Science in Engineering, 2007, 9(3): 296–297.
28.
go back to reference R Krishnapillai, A Zeid. Mapping product design specification for mass customization. Journal of Intelligent Manufacturing, 2006, 17(1): 29–43. R Krishnapillai, A Zeid. Mapping product design specification for mass customization. Journal of Intelligent Manufacturing, 2006, 17(1): 29–43.
29.
go back to reference Y Wang, M M Tseng. A Naïve Bayes approach to map customer requirements to product variants. Journal of Intelligent Manufacturing, 2015, 26(3): 501–509. Y Wang, M M Tseng. A Naïve Bayes approach to map customer requirements to product variants. Journal of Intelligent Manufacturing, 2015, 26(3): 501–509.
30.
go back to reference M Guenov. Covariance structural models of the relationship between the design and customer domains. Journal of Engineering Design, 2008, 19(1): 75–95. M Guenov. Covariance structural models of the relationship between the design and customer domains. Journal of Engineering Design, 2008, 19(1): 75–95.
31.
go back to reference L Yu, L Y Wang, J B Yu. Identification of product definition patterns in mass customization using a learning-based hybrid approach. International Journal of Advanced Manufacturing Technology, 2008, 38(11–12): 1061–1074. L Yu, L Y Wang, J B Yu. Identification of product definition patterns in mass customization using a learning-based hybrid approach. International Journal of Advanced Manufacturing Technology, 2008, 38(11–12): 1061–1074.
32.
go back to reference A Mousavi, P Adl, R T Rakowski, et al. Customer optimization route and evaluation (CORE) for product design. International Journal of Computer Integrated Manufacturing, 2010, 14(14): 236–243. A Mousavi, P Adl, R T Rakowski, et al. Customer optimization route and evaluation (CORE) for product design. International Journal of Computer Integrated Manufacturing, 2010, 14(14): 236–243.
33.
go back to reference C H Chen, L P Khoo, W Yan. PDCS—a product definition and customization system for product concept development. Expert Systems with Applications An International Journal, 2005, 28(3): 591–602. C H Chen, L P Khoo, W Yan. PDCS—a product definition and customization system for product concept development. Expert Systems with Applications An International Journal, 2005, 28(3): 591–602.
34.
go back to reference Y Wang, M M Tseng. Integrating comprehensive customer requirements into product design. CIRP Annals–Manufacturing Technology, 2011, 60(1): 175–178. Y Wang, M M Tseng. Integrating comprehensive customer requirements into product design. CIRP AnnalsManufacturing Technology, 2011, 60(1): 175–178.
35.
go back to reference E Safavi, M Tarkian, H Gavel, et al. Collaborative multidisciplinary design optimization: A framework applied on aircraft conceptual system design. Concurrent Engineering, 2015, 23: 236–249. E Safavi, M Tarkian, H Gavel, et al. Collaborative multidisciplinary design optimization: A framework applied on aircraft conceptual system design. Concurrent Engineering, 2015, 23: 236–249.
36.
go back to reference C G Hart, N Vlahopoulos. An integrated multidisciplinary particle swarm optimization approach to conceptual ship design. Structural & Multidisciplinary Optimization, 2010, 41(3): 481–494. C G Hart, N Vlahopoulos. An integrated multidisciplinary particle swarm optimization approach to conceptual ship design. Structural & Multidisciplinary Optimization, 2010, 41(3): 481–494.
37.
go back to reference N V Nguyen, M Tyan, J W Lee. A modified variable complexity modeling for efficient multidisciplinary aircraft conceptual design. Optimization & Engineering, 2015, 16(2): 485–505. N V Nguyen, M Tyan, J W Lee. A modified variable complexity modeling for efficient multidisciplinary aircraft conceptual design. Optimization & Engineering, 2015, 16(2): 485–505.
38.
go back to reference D L Allison, C C Morris, J A Schetz, et al. Development of a multidisciplinary design optimization framework for an efficient supersonic air vehicle. Advances in Aircraft & Spacecraft Science, 2015, 2(1): 17–44 D L Allison, C C Morris, J A Schetz, et al. Development of a multidisciplinary design optimization framework for an efficient supersonic air vehicle. Advances in Aircraft & Spacecraft Science, 2015, 2(1): 17–44
39.
go back to reference Z F Zhang, J J Song, Y Liu, et al. An integrated multidisciplinary design optimization method for computer numerical control machine tool development. Advances in Mechanical Engineering, 2015, 7(2): 1–9. Z F Zhang, J J Song, Y Liu, et al. An integrated multidisciplinary design optimization method for computer numerical control machine tool development. Advances in Mechanical Engineering, 2015, 7(2): 1–9.
40.
go back to reference S Zaim, M Sevkli, H Camgöz-Akdağ, et al. Use of ANP weighted crisp and fuzzy QFD for product development. Expert Systems with Applications, 2014, 41(9): 4464–4474. S Zaim, M Sevkli, H Camgöz-Akdağ, et al. Use of ANP weighted crisp and fuzzy QFD for product development. Expert Systems with Applications, 2014, 41(9): 4464–4474.
41.
go back to reference P L Biju, P R Shalij, G V Prabhushankar. Evaluation of customer requirements and sustainability requirements through the application of fuzzy analytic hierarchy process. Journal of Cleaner Production, 2015, 108: 808–817. P L Biju, P R Shalij, G V Prabhushankar. Evaluation of customer requirements and sustainability requirements through the application of fuzzy analytic hierarchy process. Journal of Cleaner Production, 2015, 108: 808–817.
Metadata
Title
Transforming Multidisciplinary Customer Requirements to Product Design Specifications
Authors
Xiao-Jie Ma
Guo-Fu Ding
Sheng-Feng Qin
Rong Li
Kai-Yin Yan
Shou-Ne Xiao
Guang-Wu Yang
Publication date
03-08-2017
Publisher
Chinese Mechanical Engineering Society
Published in
Chinese Journal of Mechanical Engineering / Issue 5/2017
Print ISSN: 1000-9345
Electronic ISSN: 2192-8258
DOI
https://doi.org/10.1007/s10033-017-0181-6

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