A module-based service model for mass customization: Service family design

IIE Transactions (Institute of Industrial Engineers)

Volumn 43, Issue 3, 2011, Pages 153-163

  Moon, Seung Ki ^a   Shu, Jun ^b   Simpson, Timothy W ^c   Kumara, Soundar R T ^d  

^a Department of Industrial and Manufacturing Engineering ^*  (United States)

^b PENNSYLVANIA STATE UNIVERSITY   (United States)

^c Departments of Mechanical and Nuclear Engineering and Industrial and Manufacturing Engineering   (United States)

^d PENNSYLVANIA STATE UNIVERSITY   (United States)

Author keywords

Coalitional game; mass customization; module based service model; service family and platform design

Indexed keywords

BANKING SERVICES; BUSINESS MANAGEMENT; COALITIONAL GAME; COMMON PLATFORM; CUSTOMIZED SERVICES; DIFFERENTIATED PRODUCTS; DYNAMIC MARKET; MARKET SEGMENT; MASS CUSTOMIZATION; MODEL POTENTIAL; MODULE SELECTION; MODULE-BASED; NEW SERVICE DEVELOPMENT; PLATFORM DESIGN; PRODUCT FAMILIES; PRODUCT FAMILY DESIGN; RECENT TRENDS; SERVICE DESIGN; SERVICE FAMILY DESIGN; SERVICE MODEL; SERVICE SCIENCE;

GAME THEORY; QUALITY OF SERVICE; RESEARCH;

PRODUCT DESIGN;

EID: 78651333265     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/07408171003705383     Document Type: Article

References (29)

1. Arlow, J. and Neustadt, I. (2002) UML and the Unified Process: Practical Object-Oriented Analysis andDesign, Addison-Wesley, London, UK.
2. Correia, P.F. (2005) Games with incomplete and asymmetricinformation in poolco markets. IEEE Transactions on Power Systems, 20(1), 83-89.
3. Da Cunha, C., Agard, B. and Kusiak, A. (2007) Design for cost: modulebased mass customization. IEEE Transactions on Automation Science and Engineering, 4(3), 350-359.
4. Fernandez, M.G., Panchal, J.H., Allen, J.K. and Mistree, F. (2005) Concise interactions and effective management of shared design spaces\moving beyond strategic collaboration towards co-design. Presented at the ASME International Design Engineering Technical Conference & Computers and Information in Engineering Conference, Long Beach, CA, 24-25 September, paper DETC2005-85381.
5. Fitzsimmons, J.A. and Fitzsimmons, M.J. (2004) Service Management: Operations Strategy, and Information Technology, McGraw-Hill, New York, NY
6. Gibbons, R. (1992) Game Theory for Applied Economics, Princeton University Press, Princeton, NJ.
7. Hidaka, K. (2006) Trends in services sciences in Japan and abroad. Quarterly Review, 19(2), 35-47.
8. Huang, G.Q., Zhang, X.Y. and Lo, V.H.Y. (2007) Integrated configuration of platform products and supply chains for mass customiza tion: a game-theoretic approach. IEEE Transactions on Engineering Management, 54(1), 156-171.
9. Jiao, J., Ma, Q. and Tseng, M.M. (2003) Towards high value-added products and services: mass customization and beyond. Technovation, 23(10), 809-831.
10. Kamrani, A.K. and Salhieh, S.M. (2000) Product Designfor Modularity, Kluwer, Boston, MA.
11. Kopin, V. and Wilbur, D. (2005) Bayesian serial cost sharing. Mathematical Social Sciences, 49(2), 201-220.
12. Kratochvil, M. and Carson, C. (2005) Growing Modular: Mass Customization of Complex Products, Services and Software, Springer, Heidelberg, Germany
13. Lariviere, M.A. and Van Mieghem, J.A. (2004) Strategically seeking service: how competition can generate poisson arrivals. Manufacturing & Service Operations Management, 6(1), 23-40.
14. Lewis, K. and Mistree, F. (1998) Collaborative, sequential, and isolated decisionsin design. Journal of MechanicalEngineering, 120(4), 643-652.
15. Li, J.H. (2004) Strategy of mass customization-based services product innovation. Presented at the IEEE International Engineering ManagementConference, Singapore, 18-21 October.
16. Magrab, E.B. (1997) Integrated Product and Process Design and Development: The Product Realization Process, CRC Press, Boca Raton, FL.
17. Meyer, M.H. and DeTore, A. (2001) Perspective: creating a platformbased approach for developing new services. The Journal ofProduct Innovation Management, 18(3), 188-204.
18. Moon, S.K., Park, J., Simpson, T.W. and Kumara, S.R.T. (2008) A dynamic multi-agent system based on a negotiation mechanism for product family design. IEEE Transactions on Automation Science and Engineering, 5(2), 234-244.
19. Moon, S.K., Simpson, T.W. and Kumara, S.R.T. (2007)Aprocessmodel and data mining to support designing families of services. Presented of the ASME Design Engineering Technical Conferences & Computers and Information in Engineering Conference, Las Vegas, NV, 4-7 September, paper DETC2007/DAC-34687.
20. Osborne, M.J. and Rubinstein, A. (2002) A Course in Game Theory, MIT Press, Boston, Cambridge, MA.
21. Peters, L. and Saidin, H. (2000) IT and the mass customization ofservices: the challenge of implementation. International Journal ofInformation Management, 20(2), 103-119.
22. Schach, S.R. (2004) An Introduction to Object-Oriented Analysis and Design with UML and the Unified Process, McGraw-Hill/Irwin, Boston, MA.
23. Schmenner, R.W. (1986) How can service businesses survive andprosper? Sloan Management Review, 27(3), 21-32.
24. Shapley, L.S. (1971)Cores ofconvex games. InternationalJournal of Game Theory, 1(1), 111-129.
25. Shooter, S.B., Simpson, T.W., Kumara, S.R.T., Stone, R.B. and Terpenny, J.P. (2005) Toward an information management infrastructure for product family planning and platform customization. International Journal of Mass Customization, 1(1), 134-155.
26. Silveria, G.D., Borenstein, D. and Fogliatto, F.S. (2001) Mass customization: literature review and research directions. International Journal of Production Economics, 72(1), 1-13.
27. Simpson, T.W. (2004) Product platform design and customization: status and promise. Artificial Intelligence for Engineering Design, Analysis, and Manufacturing, 18(1), 3-20.
28. Simpson, T.W., Siddique, Z. and Jiao, J. (2005) Product Platform and Product Family Design: Methods and Applications, Springer, New York, NY
29. Xiao, A., Zeng, S., Allen, J.K., Rosen, D.W. and Mistree, F. (2002) Collaborating multidisciplinary decision making using game theory and design capability indices. Presented at the ninth AIAA/ISSMO Symposium on Multidisciplinary Analysis and Optimization, Atlanta, GA, 4-6 September.