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 |
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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. |
doi_str_mv | 10.1007/s10845-008-0142-0 |
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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.</description><subject>Artificial intelligence</subject><subject>Business and Management</subject><subject>Collaboration</subject><subject>Control</subject><subject>Corporate culture</subject><subject>Decision making</subject><subject>Environmental changes</subject><subject>Explicit knowledge</subject><subject>Factories</subject><subject>Flexible manufacturing systems</subject><subject>Knowledge management</subject><subject>Knowledge sharing</subject><subject>Literature reviews</subject><subject>Machines</subject><subject>Manufacturing</subject><subject>Mechatronics</subject><subject>New employees</subject><subject>Problem solving</subject><subject>Processes</subject><subject>Production</subject><subject>Production 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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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