87
Views
8
CrossRef citations to date
0
Altmetric
Original Articles

A generic and extensible information infrastructure framework for mass-customizing platform products

, , &
Pages 292-306 | Published online: 21 Mar 2007
 

Abstract

This paper discusses the design and development of an information infrastructure for customizing platform products on a mass scale. The resulting framework provides a technology forum for the Mass Customization (MC) and Platform Product Development (PPD) communities to deploy their most advanced tools and techniques as online services, in order to enable and facilitate meaningful interoperability of information and knowledge management. The design and development have been based on MC concepts and latest Information Technology constructs. A special language, ppXML, is derived from XML for modelling platform products, such that different PPD and MC Web services can exchange the information in the common language. prdUDDI and mcPortal provide useful facilities for different groups of users to register, deploy, search and activate their PPD and MC services with the portal. A case study on applying a platform product customization (PPc) Web service is presented to demonstrate how the portal is utilized and to identify what features are important to the users.

Acknowledgements

The authors are most grateful to Mr Ting Qu for his efforts and support in implementing the prdUDDI. The authors are also grateful to Hong Kong University Research Committee for partial financial support for this research.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 528.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.