A new multi-agent system framework for tacit knowledge management in manufacturing supply chains

Participating members in a manufacturing supply chain (MSC) usually make use of individual knowledge for making independent decisions. Recent research, however, indicates that there is a need to handle such distributed knowledge in an integrated manner, especially under uncertain and fast changing e...

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Veröffentlicht in:Journal of intelligent manufacturing 2009-10, Vol.20 (5), p.593-610
Hauptverfasser: Al-Mutawah, Khalid, Lee, Vincent, Cheung, Yen
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creator Al-Mutawah, Khalid
Lee, Vincent
Cheung, Yen
description Participating members in a manufacturing supply chain (MSC) usually make use of individual knowledge for making independent decisions. Recent research, however, indicates that there is a need to handle such distributed knowledge in an integrated manner, especially under uncertain and fast changing environments. A multiagent system (MAS), a branch of distributed artificial intelligence, is a contemporary modelling technique for a distributed system like MSCs in the manufacturing domain. However recent researches indicate that MAS approaches have not adequately addressed the role of sharing tacit knowledge (TK) on MSC performance. This paper, therefore, aims to propose a framework that utilizes MAS techniques with a corresponding TK sharing mechanism dedicated to MSCs. We performed some experiments to simulate the proposed approach. The results showed significant improvements when comparing the proposed approach with another conventional MAS model. The results establish a starting point for researchers interested in enhancing MSC performance using TK management approach, and for managers of MSC to focus on the essentials of sharing TK.
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subjects Artificial intelligence
Business and Management
Collaboration
Control
Corporate culture
Decision making
Environmental changes
Explicit knowledge
Factories
Flexible manufacturing systems
Knowledge management
Knowledge sharing
Literature reviews
Machines
Manufacturing
Mechatronics
New employees
Problem solving
Processes
Production
Production capacity
Robotics
Simulation
Strategic planning
Studies
Supply chain management
Supply chains
Tacit knowledge
title A new multi-agent system framework for tacit knowledge management in manufacturing supply chains
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