Abstract
This paper presents an approach based on the constraints network to support collaborative design. Firstly, from the point of view of collaborative design, the model of the constraints network for coordination and optimization is studied. Secondly, a general consistency algorithm is designed to predict conflict and refine the intervals for parameter coordination, which verify the design stage early in the process and assist the designers in determining design variables to reduce the multidisciplinary iterations in collaborative design. Finally, a constraints-network-based parameter optimization model is established, and the multiobjective optimization approach is presented. The method is demonstrated by a bogie parameter design problem.
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References
Liau J, Young RE, O’Grady P (1996) An interactive constraint modeling system for concurrent engineering. Eng Design Auto 1(2):105–119
Oh JS, O’Grady P, Young RE (1995) An artificial intelligence constraint network approach to design for assembly. IIE Trans 27(1):72–80
Young RE, Greef A, O’Grady P (1992) An artificial intelligence-based constraint network system for concurrent engineering. Int J Prod Res 30(7):1715–1735
Fohn SM, Greef AR, Young RE, O’Grady PJ (1994) A constraint-system shell to support concurrent engineering approaches to design. Artif Intell Eng 9(1):1–17
Liau J, Young RE, O’Grady P (1995) Combining process planning and concurrent engineering to support printed circuit board assembly. Comput Ind Eng 28(3):615–629
Kong SH, Noh SD, Han Y-G, Kim G, Lee KI (2002) Internet-based collaboration system: press-die design process for automobile manufacturer. Int J Adv Manuf Technol 20(9):701–708
Yin GF, Tian GY, Taylor D (2002) A web-based remote cooperative design for spatial cam mechanisms. Int J Adv Manuf Technol 20(8):557–563
Wang YD, Shen W, Ghenniwa H (2003) WebBlow: a Web/agent-based multidisciplinary design optimization environment. Comput Ind 52(1):17–28
Gantois K, Morris AJ (2004) The multidisciplinary design of a large-scale civil aircraft wing taking account of manufacturing costs. Struct Multidiscipl Optim 28(1):31–46
Giassi A, Bennis F, Maisonneuve J-J (2004) Multidisciplinary design optimisation and robust design approaches applied to concurrent design. Struct Multidiscipl Optim 28(5):356–371
Bai YW, Chen ZN, Bin HZ, Hu J (2005) Collaborative design in product development based on product layout model. Robot Comput-Integr Manuf 21(1):55–65
Kannapan SM, Marshek KM (1993) An approach to parametric machine design and negotiation in concurrent engineering. In: Kusiak A (ed) Concurrent engineering: automation, tools and techniques. Wiley, New York, pp 509–533
Kusiak A, Wang J (1995) Dependency analysis in constraint negotiation. IEEE Trans Syst Man Cybern 25(9):1301–1313
Chen W, Lewis K (1999) A robust design approach for achieving flexibility in multidisciplinary design. AIAA J 37(8):982–990
Lewis K, Mistree F (1997) Modeling interactions in multidisciplinary design: a game theoretic approach. AIAA J 35(8):1387–1392
Lottaz C, Robert Y (2000) Constraint-based support for negotiation in collaborative design. Artif Intell Eng 14(3):261–280
Chang TS, Ward AC, Lee J (1994) Distributed design with conceptual robustness: a procedure based on Taguchi’s parameter design. In: Gadh R (ed) ASME concurrent product design conference. DE-Vo1.74. ASME, Chicago, IL, pp 19–29
Chen W, Sahai A, Messac A, Sundararaj GJ (2000) Exploration of the effectiveness of physical programming in robust design. ASME J Mech Des 122(2):155–163
Du X, Chen W (2001) A most probable point based approach for efficient uncertainty analysis. J Des Manuf Autom 4(1):44–66
Li X, Zhou XH, Ruan XY (2002) Conflict management in closely coupled collaborative design system. Int J Comput Integr Manuf 15(4):345–352
Lara MA, Nof SY (2003) Computer-supported conflict resolution for collaborative facility designers. Int J Prod Res 41(2):207–233
Zimmermann H-J, Sebstian H-J (1994) Fuzzy design—integration of fuzzy theory with knowledge-based system design. In: Proceedings of the 3rd IEEE International Conference on Fuzzy Systems (FUZZ-EEE), Orlando, Florida, June 1994, vol 1, pp 352–357
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Hu, J., Peng, Y. & Xiong, G. Parameter coordination and optimization for collaborative design based on the constraints network. Int J Adv Manuf Technol 32, 1053–1063 (2007). https://doi.org/10.1007/s00170-006-0433-6
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DOI: https://doi.org/10.1007/s00170-006-0433-6