Global competition has pushed firms to improve and upgrade their manufacturing operations continuously. Explores the role of knowledge base and learning to facilitate this phenomenon. Developing a knowledge base requires organising knowledge and expertise for a field of inquiry and making it available in formats suitable for users to support and aid various operational, developmental, and organisational functions. Classification and coding form the basis for organising knowledge bases. Classification implies grouping objects into similar classes on the basis of some similarity criteria pertinent to one or more attributes. Learning in the context of classification implies discovering new attributes, bases for grouping and requires frequent updating of the knowledge base. A formal knowledge base makes a firm’s knowledge cumulative and serves an important integrating and coordinating role for the organisation. Presents an example application utilizing classification as a tool for knowledge acquisition in design support activities.
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1 May 2003
This article was originally published in
Integrated Manufacturing Systems
Case Report|
May 01 2003
Enhancing manufacturing operations effectiveness through knowledge based design Available to Purchase
Charu Chandra;
Charu Chandra
Industrial and Manufacturing Systems Engineering Department, University of Michigan‐Dearborn, Dearborn, Michigan, USA
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Sameer Kumar
Sameer Kumar
Engineering and Technology Management Department, University of St Thomas, Minnesota, USA
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Publisher: Emerald Publishing
Online ISSN: 1758-583X
Print ISSN: 0957-6061
© MCB UP Limited
2003
Integrated Manufacturing Systems (2003) 14 (3): 278–292.
Citation
Chandra C, Kumar S (2003), "Enhancing manufacturing operations effectiveness through knowledge based design". Integrated Manufacturing Systems, Vol. 14 No. 3 pp. 278–292, doi: https://doi.org/10.1108/09576060310463226
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