Abstract
The objective in this research is to introduce a method for identifying a service platform along with variant and unique modules to create a service family by integrating object-oriented concepts, ontologies, and data mining techniques. A service process model is introduced to describe a service based on a sequence using a graph model and object-oriented concepts. Fuzzy clustering is employed to partition service processes into subsets to identify common modules – the platform – and specific modules for the given service family. To demonstrate the proposed method, we apply it to select a platform for a family of banking services.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Arlow J, Neustadt I (2002) UML and the Unified Process: Practical Object-Oriented Analysis and Design. Addison-Wesley, London
Berry MJA, Linoff G (1997) Data Mining Techniques: for Marketing, sales, and customer support. Wiley, New York
Bezdek JC (1974) Numerical Taxonomy with Fuzzy Sets. J of Mathematics Biology 1(1)57–71
Bezdek JC (1981) Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum, New York
Braha D (2001) Data Mining for Design and Manufacturing: Methods and Applications. Kluwer, Dordrecht
Cao J, Wang J, Law K, Zhang S, Li M (2006) An Interactive Service Customization Model. Information and Software Technology 48(4):280–296
da Silveira G, Borenstein D, Fogliatto FS (2001) Mass Customization: literature review and research directions. International J of Production Economics 72(1):1–13
Fitzsimmons JA, Fitzsimmons MJ (2004) Service Management: Operations Strategy, and Information Technology. McGraw–Hill, New York
Hidaka K (2006) Trends in services sciences in Japan and abroad. Q Rev 19(2):35–47
Hoffer JA, George JF, Valacich JS (2006) Modern systems analysis and design. Pearson Prentice Hall, Upper Saddle River, NJ
Hunt J (2000) The Unified Process for Practitioners: Object Oriented Design, UML, and Java. Springer, London
Jiao J, Ma Q, Tseng MM (2003) Towards high value-added products and services: mass customization and beyond. Technovation 23(10):809–831
Kamrani AK, Salhieh SM (2000) Product Design for Modularity. Kluwer, Boston
Liao TW (2001) Classification and coding approaches to part family formation under a fuzzy environment. Fuzzy Sets and Systems 122(3):425–441
Meyer MH, Detore A (2001) Perspective: creating a platform-based approach for developing new services. The J of Product Innovation Management 18(3):188–204
Miyamoto S (1990) Fuzzy Sets in Information Retrieval and Cluster Analysis. Kluwer, Dordrecht
Noy NF, Sintek M, Decker S, Crubezy M, Fergerson RW, Musen MA (2001) Creating semantic web contents with Protege-2000. IEEE Intelligent Systems 16(2):61–71
Peters L, Saidin H (2000) IT and the mass customization of services: the challenge of implementation. International J of Information Management 20(2):103–119
Reijers HA (2003) Design and Control of Workflow Processes: Business Process Management for the Service Industry. Springer, Berlin
Schach SR (2004) An Introduction to Object-oriented Analysis and Design with UML and the Unified Process. McGraw–Hill/Irwin, Boston
Shooter SB, Simpson TW, Kumara SRT, Stone RB, Terpenny JP (2005) Toward an information management infrastructure for product family planning and platform customization. International J of Mass Customization 1(1):134–155
Simpson TW (2004) Product platform design and customization: status and promise. Artificial Intelligence for Engineering Des, Analysis, and Manufacturing 18(1):3–20
Simpson TW, Siddique Z, Jiao J (2005) Product Platform and Product Family Design: Methods and Applications. Springer, New York
Stone RB, Wood KL, Crawford RH (2000) A heuristic method for identifying modules for product architectures. Design Studies 21(1):5–31
Strawbridge B, McAdams DA, Stone RB (2002) A computational approach to conceptual design. ASME Design Engineering Technical Conference – Design Theory and Methodology Conference, paper No. DETC2002/DTM-34001
Swartout W, Tate A (1999) Ontologies. IEEE Transactions on Intelligent Systems 14(1):18–19
Torra V (2005) Fuzzy c-means for fuzzy hierarchical clustering. IEEE International Conference on Fuzzy Systems, Reno
Xue D, Dong Z (1997) Coding and clustering of design and manufacturing features for concurrent design. Computer in Industry 34(1):139–153
Zadeh LA (1965) Fuzzy sets. Information and Control 8:338–353
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag London Limited
About this chapter
Cite this chapter
Seung, K., Simpson, T., Shu, J., Kumara, S. (2011). A Platform Identification Method for Service Family Design Using a Process Model and a Clustering Method. In: Fogliatto, F., da Silveira, G. (eds) Mass Customization. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-84996-489-0_8
Download citation
DOI: https://doi.org/10.1007/978-1-84996-489-0_8
Publisher Name: Springer, London
Print ISBN: 978-1-84996-488-3
Online ISBN: 978-1-84996-489-0
eBook Packages: EngineeringEngineering (R0)