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A multi-agent based approach for change management in manufacturing enterprises

Ayhan, Mustafa Batuhan; Aydin, Mehmet Emin; Öztemel, Ercan

Authors

Mustafa Batuhan Ayhan

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Dr Mehmet Aydin Mehmet.Aydin@uwe.ac.uk
Senior Lecturer in Networks and Mobile Computing

Ercan Öztemel



Abstract

© 2013, Springer Science+Business Media New York. Change management becomes an unavoidable necessity for manufacturing enterprises. Since change in business processes carries significant impact on the performance of manufacturing companies, a change management model is definitely required to remain competitive. Moreover, utilizing agent based systems will provide computational provision and integrity to manage and measure the capabilities to follow the change in a progressive approach by employing the cooperation and collaboration properties of various agents helping for retrieval of the required information in a rapid way. Therefore, in this paper, a multi-agent based change management model is proposed to handle the changes in manufacturing enterprises. The model is validated through a case study done to measure the performance of change management capabilities in a manufacturing company. A sensitivity analysis on the results of this case study is also conducted to reveal the system reactivity to various parameters.

Journal Article Type Article
Publication Date Oct 22, 2015
Journal Journal of Intelligent Manufacturing
Print ISSN 0956-5515
Electronic ISSN 1572-8145
Publisher Springer Verlag
Peer Reviewed Peer Reviewed
Volume 26
Issue 5
Pages 975-988
Institution Citation Ayhan, M. B., Aydin, M. E., & Ă–ztemel, E. (2015). A multi-agent based approach for change management in manufacturing enterprises. Journal of Intelligent Manufacturing, 26(5), 975-988. https://doi.org/10.1007/s10845-013-0794-2
DOI https://doi.org/10.1007/s10845-013-0794-2
Keywords change management, agent based systems, manufacturing sensitivity analysis
Publisher URL http://dx.doi.org/10.1007/s10845-013-0794-2
Additional Information Additional Information : The final publication is available at Springer via http://dx.doi.org/10.1007/s10845-013-0794-2

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