Defining specifications for custom products: A Bayesian probabilistic approach

Proceedings of the ASME Design Engineering Technical Conference

Volumn 5, Issue , 2008, Pages 87-95

  Wang, Yue ^a   Tseng, Mitchell M ^a  

^a HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Hong Kong)

Author keywords

Bayesian network; Customization; Specification

Indexed keywords

CUSTOM PRODUCTS; CUSTOMIZATION; DEFINITION METHOD; DESIGN FOR MANUFACTURING; DESIGN FOR MASS CUSTOMIZATION; DOMAIN KNOWLEDGE; ELIMINATION PROCESS; MASS CUSTOMIZATION; PHYSICAL STRUCTURES; PROBABILISTIC APPROACHES; PRODUCT ATTRIBUTES; PRODUCT CONFIGURATION; PRODUCT SPECIFICATIONS; PRODUCT STRUCTURE; RELEVANT COMPONENTS; REMAINING COMPONENT;

BAYESIAN NETWORKS; CUSTOMER SATISFACTION; INFORMATION THEORY; MACHINE DESIGN; SALES; SPECIFICATIONS;

PRODUCT DESIGN;

EID: 81155132247     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1115/DETC2008-49625     Document Type: Conference Paper

References (35)

1. Silveria, G. D., Borenstein, D.,2001, "Mass customization: Literature review and research directions", International journal of production economics, Vol. 72, pp.1-13. (Pubitemid 32544406)
2. Tseng, M.M. and Piller, F., 2003. "New Direction for mass Customization". In: F. Piller and M. Tseng eds. The Customer Centric Enterprise. Berlin: Springer. 519-535.
3. Jiao, J. and Tseng, M.M., 1999. "A methodology of developing product family architecture formass customization", Journal of Intelligent Manufacturing, Vol. 10, pp. 3-20.
4. Tseng, M.M. and Du, X., 1998. "Design by customers for mass customization products", Annals of the CIRP, Vol. 47 pp. 103-106.
5. Magretta, J., 1998, "The power of virtual integration: an interview with Dell Computer's Michael Dell", Harvard Business Review, Vol. 76, pp.73-84.
6. Feitzinger, E. and Lee H., 1997, "Mass Customization at HP: The Power of Postponement." Harvard Business Review, Vol. 75, pp.116-121
7. Selladurai, R. S., 2004, "Mass customization in operations management: oxymoron or reality?" OMEGA The International Journal of Management Science, Vol. 32, pp. 295-300. (Pubitemid 38461906)
8. Enos, L., 2001. "Report: Five Keys for E-Tail Success"[online]. E-Commerce Times. Avalible from: http://www.ecommercetimes.com/story/7743.html
9. McDermott, J., 1980. "R1: An Expert in the Computer Systems Domain", In: Proceedings of the 1st Annual National Conference on Artificial Intelligence, Stanford University, California: Stanford University, pp. 269-271.
10. Frayman F. and Mittal, S., 1987, "Cossack: A Constraint based expert system for configuration task", In: Sriram, D. and Adey, R. ed. Knowledge-based Expert Systems in Engineering: Planning and Design. Boston: Computational Mechanics Publication, pp. 143-166.
11. Elturky, F. and Nordin, R., 1986. "BLADES: an expert system for analog circuit design", Proceeding of the IEEE Symposium on Circuit and System, San Jose, CA, pp. 552-555. (Pubitemid 16628069)
12. Birmingham W., Brennan A. and D. Siewiorek, 1988, "MICON: A single board computer synthesis tool", IEEE Circuits and Devices Magazine, Vol. 4, pp. 37-46. (Pubitemid 18611960)
13. Mittal, S. and Frayman, F., 1989, "Towards a generic model of configuration task", Proceedings of International Joint Conference on Artificial Intelligence. Calilfornia: Morgan Kaufmann, pp. 1395-1401.
14. Mittal, S. and Falkenhainer, B., 1990, "Dynamic Constraint Satisfaction Problems", Proceedings of American Association for Artificial Intelligence. Boston, MA: pp. 25-32.
15. Sabin, D. and Freuder, E., 1996, "Configuration as Composite Constraint Satisfaction", Proceedings of the first Artificial Intelligence and Manufacturing Research Planning Workshop. Menlo Park, CA: AAAI Press, pp. 153-161.
16. Sabin, M. and Freuder, E., 1998. "Detecting and resolving inconsistency and redundancy in conditional constraint satisfaction problems" [online]. Available from: http://citeseer.ist.psu.edu/ sabin98detecting.html
17. Aldanondo, M., E. Vareilles, Khaled Hadj-Hamou, Paul Gaborit, "A constraint based approach for aiding heat treatment operation design and distortion evaluation", AIAI 2006, pp. 254-261
18. Gelle, E. and Faltings, B., 2003, "Solving mixed and conditional constraint satisfaction problems", Constraint, Vol. 8(2), pp. 107-141.
19. Xie, H., Henderson, P., Neelamkavil, J. and Li, J., 2004, "A systematic search strategy for product configuration", Proceedings of the 17th international conference on Innovations in applied artificial intelligence. Springer, pp. 718-727. (Pubitemid 38761277)
20. Löckenhoff, C. and Messer, T., 1994, "Configuration", CommonKADS Library for Expertise Modelling. Amsterdam: IOS Press. pp. 197-212.
21. Wellman, M., 1994, "A Computational Market Model for Distributed Configuration Design", In: Proceeding of National Conference on Artificial Intelligence. Seattle, Menlo Park, CA. Vol (2), pp. 401-407
22. Suh, N. P., 1990. The principles of design. New York, Oxford University Press.
23. Tseng, M.M. and Jiao, J., 1996. "Design for mass customization", Annals of the CIRP, Vol. 45(1), pp. 153-156. (Pubitemid 126601422)
24. Chen, S.L. and Tseng, M.M., 2005, "Defining Specifications for Custom Products: A Multi-Attribute Negotiation Approach", Annals of the CIRP, Vol. 54(1), pp. 159-162. (Pubitemid 40948433)
25. Lu, S., 2006, "A Socio-Technical Foundation for Collaborative Engineering Design", Annals of the CIRP, Vol. 55
26. Sabin, M. and Weigal, R., 1998, "Product configuration framework - a survey". IEEE Intelligent Systems, Vol. 13(4), pp. 42-49
27. Lilien, G.L., Kotler, P., Moorthy, K. S., 1992, Marketing model, Prentice-Hall Inc. New Jersey
28. Jensen, F., 2001. Bayesian networks and decision graphs. New York: Springer.
29. Russell, S. and Norvig, P., 2003, Artificial Intelligence, A Modern Approach. NJ: Prentice Hall
30. Blachman, N. M., 1968, "The amount of information that y gives about X", IEEE Trans. Information Theory, Vol. 14(1), pp. 27-31
31. Mitchell, T., 1997. Machine Learning. McGraw Hill.
32. Simon, Herbert, ed. The Sciences of the Artificial, 2nd ed. Cambridge: MIT Press, 1981.
33. Heckerman, D., Breese, J., and Rommelse, K., "Troubleshooting under Uncertainty," Technical Report MSR-TR-94-07, Microsoft Research, 1994.
34. Tong, S., "Active Learning: Theory and Applicaitons," PhD thesis, Stanford Univ., 2001.
35. Cooper, William, 1968. Expected search length: a single measure of retrieval effectiveness based on the weak ordering action of retrieval systems. American Documentation, 19 (1), 30-41