ORIGINAL ARTICLE

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

  • Xiao-Jie Ma ,
  • Guo-Fu Ding ,
  • Sheng-Feng Qin ,
  • Rong Li ,
  • Kai-Yin Yan ,
  • Shou-Ne Xiao ,
  • Guang-Wu Yang
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  • 1 Institute of Advanced Design and Manufacturing, Southwest Jiaotong University, Chengdu 610031, China;
    2 School of Design, Northumbria University, Newcastle upon Tyne NE18 ST, UK;
    3 State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China

收稿日期: 2016-12-09

  修回日期: 2017-07-23

  网络出版日期: 2019-07-16

基金资助

Supported by Open Outreach Project of A New Biomimicry and Crowdsourcing Based Digital Design Platform for High Speed Train from State Key Laboratory of Traction Power, and National Natural Science Foundation of China (Grant No. 51575461).

Transforming Multidisciplinary Customer Requirements to Product Design Specifications

  • Xiao-Jie Ma ,
  • Guo-Fu Ding ,
  • Sheng-Feng Qin ,
  • Rong Li ,
  • Kai-Yin Yan ,
  • Shou-Ne Xiao ,
  • Guang-Wu Yang
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  • 1 Institute of Advanced Design and Manufacturing, Southwest Jiaotong University, Chengdu 610031, China;
    2 School of Design, Northumbria University, Newcastle upon Tyne NE18 ST, UK;
    3 State Key Laboratory of Traction Power, Southwest Jiaotong University, Chengdu 610031, China

Received date: 2016-12-09

  Revised date: 2017-07-23

  Online published: 2019-07-16

Supported by

Supported by Open Outreach Project of A New Biomimicry and Crowdsourcing Based Digital Design Platform for High Speed Train from State Key Laboratory of Traction Power, and National Natural Science Foundation of China (Grant No. 51575461).

摘要

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.

本文引用格式

Xiao-Jie Ma , Guo-Fu Ding , Sheng-Feng Qin , Rong Li , Kai-Yin Yan , Shou-Ne Xiao , Guang-Wu Yang . Transforming Multidisciplinary Customer Requirements to Product Design Specifications[J]. Chinese Journal of Mechanical Engineering, 2017 , 30(5) : 1069 -1080 . DOI: 10.1007/s10033-017-0181-6

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.

参考文献

1. 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. 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 DevelopmentProceedings of the 17th CIRP Design Conference. Berlin Heidelberg:Springer, 2007:197-207.
3. 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. 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. 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. 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. 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. 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. Q Shan, Y Chen. Product Module Identification Based on Assured Customer Requirements. Procedia Engineering, 2011, 15:5313-5317.
10. 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.[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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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. R Krishnapillai, A Zeid. Mapping product design specification for mass customization. Journal of Intelligent Manufacturing, 2006, 17(1):29-43.
29. 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. M Guenov. Covariance structural models of the relationship between the design and customer domains. Journal of Engineering Design, 2008, 19(1):75-95.
31. 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. 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. 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. Y Wang, M M Tseng. Integrating comprehensive customer requirements into product design. CIRP Annals-Manufacturing Technology, 2011, 60(1):175-178.
35. 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. 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. 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. 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. 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. 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. 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.
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