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Knowledge Support for Customer-Based Design for Mass Customization

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Artificial Intelligence in Design ’02

Abstract

This paper presents a research effort on customer-based design for mass customization using a knowledge support paradigm. The background and prior research work related to customer-based design for mass customization (CDFMC) is first reviewed. Then, the fundamental issues underlying knowledge support for CDFMC are discussed. A knowledge support framework and its relevant technologies are developed for implementing module based product family design for mass customization, which include knowledge modeling and support for customer requirements’ modeling, product architecture modeling, product platform and family generation, and product assessment for customization. The issues and requirements related to the development of knowledge intensive support system for modular product family design for mass customization are addressed. Finally, a case study on knowledge support for power supply family design for customization is provided for illustration.

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References

  • Agarwal, M and Cagan, J: 1998, A blend of different tastes: the language of coffeemakers, Environment and Planning B: Planning and Design 25 (2): 205–226.

    Article  Google Scholar 

  • Chang T-S and Ward AC: 1995, Design-in-modularity with conceptual robustness, Design Technical Conference ASME, DE-Vol. 82, pp. 493–500.

    Google Scholar 

  • Chen, W, Allen, JK, Mavris D and Mistree, F: 1996, A concept exploration method for determining robust top-level specifications, Engineering Optimization 26: 137–158.

    Article  Google Scholar 

  • Chen, W, Rosen D, Allen J and Mistree, F: 1994, Modularity and the independence of functional requirements in designing complex systems, Concurrent Product Design 74: 31–38.

    Google Scholar 

  • Collier, DA: 1981, The measurement and operating benefits of component part commonality, Decision Sciences 12 (1): 85–96.

    Article  Google Scholar 

  • Collier, DA: 1982, Aggregate safety stock levels and component part commonality, Management Science 28 (22): 1296–1303.

    Article  Google Scholar 

  • Dasgupta, D and McGregor, DR: 1994, A more biologically motivated genetic algorithm: the model and some results, Cybernetics and Systems: An International Journal 25: 447–469.

    Article  Google Scholar 

  • Du, X and Tseng, MM: 1999, Characterizing customer value for product customization, Proceedings of DETC’99, ASME Design Engineering Technical Conference, Paper No., DETC99/DFM-8916.

    Google Scholar 

  • Erens, F and Verhulst, K: 1997, Architectures for product families, Computers in Industry 33 (2–3): 165–178.

    Article  Google Scholar 

  • Fujita, K: 2000, Product variety optimization under modular architecture, Proceedings of Third International Symposium on Tools and Methods of Competitive Engineering (TMCE2000), pp. 451–464.

    Google Scholar 

  • Fujita, K, Sakaguchi, H and Akagi, S: 1999, Product variety deployment and its optimization under modular architecture and module commonalization, Proceedings of the 1999 ASME Design Engineering Technical Conferences, Paper No., DETC99/DFM-8923, ASME.

    Google Scholar 

  • Fujita, K, Akagi. S, Yoneda, T and Ishikawa, M: 1998, Simultaneous optimization of product family sharing system structure and configuration, Proceedings of the 1998 ASME Design Engineering Technical Conferences, Paper No., DETC98/DFM-5722, ASME.

    Google Scholar 

  • Fujita, K and Ishii, K: 1997, Task structuring toward computational approaches to product variety design, Proceedings of the 1997 ASME Design Engineering Technical Conferences, Paper No. 97DETC/DAC-3766, ASME.

    Google Scholar 

  • Gaithen, N: 1980, Production and Operations Management: A Problem-Solving and Decision-Making Approach, The Dryden Press, New York.

    Google Scholar 

  • Gilmore, JH and Pine, BJ: II, 1997, The four faces of mass customization, Harvard Business Review 75(January-February): 91–101.

    Google Scholar 

  • Gero, JS: 1990, Design prototypes: a knowledge representation schema for design, Al Magazine 11 (4): 26–36.

    Google Scholar 

  • Gonzale-Zugasti, JP: 2000, Models for Platform-Based Product Family Design, PhD Thesis, MIT, Cambridge, MA.

    Google Scholar 

  • Ishii, K, Juengel, C and Eubanks, F: 1995, Design for product variety: key to product line structuring, Proceedings of the ASME Design Theory and Methodology Conference, DE-Vol. 83: pp. 499–506.

    Google Scholar 

  • IONA, 1997: Orbix2 Programming Guide: IONA Technologies Ltd.

    Google Scholar 

  • Jiao, JX and Tseng, MM: 1998, Fuzzy ranking for concept evaluation in configuration design for mass customization, Concurrent Engineering: Research and Application 6 (3): 189–206.

    Article  Google Scholar 

  • Jiao, J, Tseng, MM, Ma, Q and Zou, Y: 2000, Generic bill of materials and operations for high-variety production management, Concurrent Engineering: Research and Application 8 (4): 297–322.

    Article  Google Scholar 

  • Kotler, P: 1989, From mass marketing to mass customization, Planning Review 17 (5): 10–15

    Article  Google Scholar 

  • Kusiak A and Huang C-C: 1996, Development of modular products, IEEE Trans. On Components, Packaging, and Manufacturing Technology, Part-A 19 (4): 523–538.

    Google Scholar 

  • Lee, HL. and Tang, CS: 1997, Modeling the costs and benefits of delayed product differentiation, Management Science 43 (1): 40–53.

    Article  MATH  Google Scholar 

  • Martin, M and Ishii, K: 1996, Design for variety: a methodology for understanding the costs of product proliferation, in K Wood (ed.), Design Theory and Methodology Conference, ASME, Irvine, CA, Paper No., 96-DETC/DTM-1610

    Google Scholar 

  • McDermott, CM and Stock, GN: 1994, The use of common parts and designs in high-tech industries: a strategic approach, Production and Inventory Management Journal 35 (3): 65–68.

    Google Scholar 

  • McKay, A, Erens, F and Bloor, MS: 1996, Relating product definition and product variety, Research in Engineering Design 8 (2): 63–80.

    Article  Google Scholar 

  • Meyer, MH: 1997, Revitalize your product lines through continuous platform renewal, Research Technology Management 40 (2): 17–28.

    Google Scholar 

  • Meyer, MH and Utterback, JM: 1993, The product family and the dynamics of core capability, Sloan Management Review 34 (Spring): 29–47.

    Google Scholar 

  • Meyer, MH, Tertzakian P and Utterback, JM: 1997, Metrics for managing research and development in the context of the product family, Manage Science, 43 (1): 88–111.

    Article  MATH  Google Scholar 

  • Nutt, GJ: 1992, Open Systems, Prentice Hall, Englewood Cliffs, NJ.

    Google Scholar 

  • Pahl, G and Beitz, W: 1996, Engineering Design - A Systematic Approach, Berlin, Heidelberg, Springer, New York.

    Google Scholar 

  • Pfaltz, JL and Rosenfeld, A: 1969, Web Grammars, Proceedings of First International Joint Conference on Artificial Intelligence, Washington, DC, pp. 609–619

    Google Scholar 

  • Pine II, BJ: 1993, Mass Customization — The New Frontier in Business Competition, Harvard Business School Press, Boston, MA.

    Google Scholar 

  • Rosen, DW: 1996, Design of modular product architectures in discrete design spaces subject to life cycle issues, 1996 ASME Design Automation Conference, Irvine, CA. 96DETC/DAC-1485

    Google Scholar 

  • Reddy, G and Cagan, J: 1995, An improved shape annealing algorithm for truss topology generation, Journal of Mechanical Design 117: 315–321.

    Article  Google Scholar 

  • Rothwell, R and Gardiner, P: 1990, Robustness and product design families, M Oakley, (ed.), Design Management: A Handbook of Issues and Methods, Basil Blackwell Inc., Cambridge, MA, pp. 279–292.

    Google Scholar 

  • Rushton, G and Zakarian, V: 2000, Development of Modular Vehicle Systems, Department of Industrial and Manufacturing Systems Engineering, University of Michigan, Dearborn.

    Google Scholar 

  • Sanderson, S and Uzumeri, M: 1995, Managing product families: the case of the sony walkman, Research Policy 24, 761–782.

    Article  Google Scholar 

  • Samuel, A.K and Bellam, S: 2000. http://www.glue.umd.edu/~sbellam/

  • Sanderson, SW: 1991, Cost models for evaluating virtual design strategies in multi-cycle product families, Journal of Engineering and Technology Management 8, 339–358.

    Google Scholar 

  • Siddique, Z and Rosen, DW: 1999, Product platform design: a graph grammar approach, Proceedings of DETC’99, 1999 ASME Design Engineering Technical Conferences, Paper No., DETC99/DTM-8762.

    Google Scholar 

  • Siddique, Z and Rosen, DW: 2001, On discrete design spaces for the configuration design of product families, Artificial Intelligence in Engineering, Design, Automation, and Manufacturing 15: 1–18

    Google Scholar 

  • Siegel, J: 1996, CORBA: Fundamentals and Programming: OMG, John Wiley and Sons, New York.

    Google Scholar 

  • Simpson, TW: 1998, A Concept Exploration Method for Product Family Design, Ph.D Dissertation, System Realization Laboratory, Woodruff School of Mechanical Engineering, Georgia Institute of Technology, Georgia.

    Google Scholar 

  • Simpson, TW, Maier, JRA and Mistree, F: 2001, Product platform design: method and application, Research In Engineering Design 13: 2–22

    Article  Google Scholar 

  • Sivaloganathan, S, Andrews, PTJ and Shahin, TMM: 2001, design function deployment: a tutorial introduction, Journal of Engineering Design 12(1): 59–74.

    Google Scholar 

  • Stadzisz, PC and Henrioud, JM: 1995, Integrated design of product famalies and assembly systems, IEEE International Conference on Robotics and Automation 2: 1290–1295

    Google Scholar 

  • Stone, RB, Kristin, LW, and Crawford, RH: 2000, A heuristic method for identifying modules for product architectures, Design Studies 21 (1): 15–31.

    Article  Google Scholar 

  • Suh, NP: 1990, The Principles of Design, Oxford University Press, New York.

    Google Scholar 

  • Tseng, MM and Jiao, JX: 1996, Design for mass customization, CIRP Annals 45 (1): 153–156.

    Article  Google Scholar 

  • Tseng, MM and Jiao, JX: 1998, Product family modeling for mass customization, Computers in Industry 35 (3–4): 495–498.

    Google Scholar 

  • Ulrich, K and Tung, K: 1991, Fundamentals of Product Modularity, Proceedings of ASME Winter Annual Meeting Conference, ASME, DE-Vol. 39, pp. 73–80.

    Google Scholar 

  • Ulrich, K: 1995, The role of product architecture in the manufacturing firm, Research Policy 24 (3): 419–440.

    Article  MathSciNet  Google Scholar 

  • Ulrich, KT and Eppinger, SD: 1995, Product Design and Development, McGraw-Hill, New York.

    Google Scholar 

  • Uzumeri, M and Sanderson, S: 1995, A Framework for model and product family competition, Research Policy 24: 583–607.

    Article  Google Scholar 

  • Wheelwright, SC and Sasser, WE, Jr: 1989, The new product development map, Harvard Business Review, 67 (May-June): 112–125.

    Google Scholar 

  • Wheelwright, SC and Clark, KB: 1992, Creating project plans to focus product development, Harvard Business Review 70 (March-April): 70–82.

    Google Scholar 

  • William LM and Jordan JL: 1999, Using conjoint analysis to help design product platforms, Journal Production Innovation Management 16: 27–39

    Article  Google Scholar 

  • Zha, XF, Du, H: 2001, Mechanical systems and assemblies modeling using knowledge intensive petri net formalisms, Artificial Intelligence for Engineering Design, Analysis and Manufacturing 15 (2): 145–171.

    MATH  Google Scholar 

  • Zha, XF and Lu, WF: 2002, Knowledge intensive support for conceptual evaluation and selection in customer-based design for mass customization, submitted to ASME DECT 2002, Montreal, Canada.

    Google Scholar 

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Zha, X., Lu, W.F. (2002). Knowledge Support for Customer-Based Design for Mass Customization. In: Gero, J.S. (eds) Artificial Intelligence in Design ’02. Springer, Dordrecht. https://doi.org/10.1007/978-94-017-0795-4_20

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  • DOI: https://doi.org/10.1007/978-94-017-0795-4_20

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-90-481-6059-4

  • Online ISBN: 978-94-017-0795-4

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