Applying a knowledge management modeling tool for manufacturing vision (MV) development

Chengbo Wang, James Luxhoj, John Johansen

Research output: Contribution to journalArticle

19 Citations (Scopus)

Abstract

This paper introduces an empirical application of an experimental model for knowledge management within an organization, namely a case-based reasoning model for manufacturing vision development (CBRM). The model integrates the development process of manufacturing vision with the methodology of case-based reasoning. This paper briefly describes the model's theoretical fundamentals and its conceptual structure; conducts a detailed introduction of the critical elements within the model; exhibits a real world application of the model; and summarizes the review of the model through academia and practice. Finds that the CBRM is supportive to the decision-making process of applying and augmenting organizational knowledge. It provides a new angle to tackle strategic management issues within the manufacturing system of a business operation. Explores a new proposition within strategic manufacturing management by enriching and extending the concept of MV while trying to lead the CBR methodology into a new domain by applying it in strategic management.
Original languageEnglish
Pages (from-to)735-743
JournalJournal of Industrial Management and Data Systems
Volume104
Issue number9
DOIs
Publication statusPublished - 2004

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Modeling
Manufacturing
Knowledge management
Strategic management
Case-based reasoning
Methodology
Manufacturing management
Strategic manufacturing
Development process
Decision-making process
Organizational knowledge
Manufacturing systems

Cite this

Wang, Chengbo ; Luxhoj, James ; Johansen, John. / Applying a knowledge management modeling tool for manufacturing vision (MV) development. In: Journal of Industrial Management and Data Systems. 2004 ; Vol. 104, No. 9. pp. 735-743.
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Applying a knowledge management modeling tool for manufacturing vision (MV) development. / Wang, Chengbo; Luxhoj, James; Johansen, John.

In: Journal of Industrial Management and Data Systems, Vol. 104, No. 9, 2004, p. 735-743.

Research output: Contribution to journalArticle

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