Organizational knowledge encapsulation and re-use in collaborative product development

W. M. Cheung, D. G. Bramall, P. G. Maropoulos*, J. X. Gao, H. Aziz

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)

Abstract

This paper discusses the theoretical aspects and applications of a novel methodology for exploiting a knowledge management editor tool to structure organizational knowledge and integrate it with product development activities. An organizational knowledge framework for capturing and representing manufacturing know-how has been developed using an ontological approach. The captured knowledge is converted into the industry-standard eXtensible mark-up language (XML) and then shared within a web-centric product data management (PDM) system to support a collaborative and distributed product development environment. The key business benefit of adopting such an approach arises from the closer integration between the key technical and business activities taking place during early design. In particular the effectiveness of decision making is increased.

Original languageEnglish
Pages (from-to)736-750
Number of pages15
JournalInternational Journal of Computer Integrated Manufacturing
Volume19
Issue number7
DOIs
Publication statusPublished - 01 Oct 2006
Externally publishedYes

Bibliographical note

Funding Information:
The authors would like to acknowledge the financial support of the UK’s Engineering and Physical Sciences Research Council (EPSRC), for the project Distributed and Collaborative Product Development and Manufacturing Knowledge Management (Grants GR/R26757/01 and GR/ R35148/01). They are also grateful for the support of the industrial collaborators ArvinMeritor, LSC Group, Mabey & Johnson and PTC.

Keywords

  • Collaborative product development
  • Manufacturing know-how
  • Ontology
  • Organizational knowledge-based system
  • Product data management

ASJC Scopus subject areas

  • Aerospace Engineering
  • Mechanical Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

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