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A method for platform identification to support service family design

A method for platform identification to support service family design Customised services are an important source of revenue for many companies, particularly those subscribing to mass customisation where customer satisfaction is paramount. In this paper, we extend concepts from platform-based product family design to create a new method for module-based service family design. 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. Object-oriented concepts were used to support service analysis and representation combining ontologies. 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 approach, we apply the proposed method to select a platform for a family of banking services. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png International Journal of Services Operations and Informatics Inderscience Publishers

A method for platform identification to support service family design

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Publisher
Inderscience Publishers
Copyright
Copyright © Inderscience Enterprises Ltd. All rights reserved
ISSN
1741-539X
eISSN
1741-5403
DOI
10.1504/IJSOI.2008.021341
Publisher site
See Article on Publisher Site

Abstract

Customised services are an important source of revenue for many companies, particularly those subscribing to mass customisation where customer satisfaction is paramount. In this paper, we extend concepts from platform-based product family design to create a new method for module-based service family design. 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. Object-oriented concepts were used to support service analysis and representation combining ontologies. 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 approach, we apply the proposed method to select a platform for a family of banking services.

Journal

International Journal of Services Operations and InformaticsInderscience Publishers

Published: Jan 1, 2008

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