NDLI: Holonic multi-agent system: Simulation of manufacturing network formation

Content Provider	IEEE Xplore Digital Library
Author	Jules, G. Saadat, M. Nan Li
Copyright Year	2012
Description	Author affiliation: Mechanical Engineering Department, University of Birmingham, United Kingdom (Jules, G.; Nan Li) \|\| Mechanical Engineering Department, University of Birmingham United Kingdom (Saadat, M.)
Abstract	The research paper focuses on developing a holonic multi-agent system (HMAS) to assist the central company during the formation of manufacturing networks. The manufacturing network paradigm gives a central company control over which group of manufacturers will participate on its customers' orders. The central company therefore has flexibility over the lead time, the production cost and the conformance reliability of its manufacturing networks. In order to simulate the impact of a central company's operation strategy on the performance of manufacturing networks, this research proposes an HMAS framework for network formation simulation and an HMAS simulation platform. The framework depicts the integration of the holonic manufacturing paradigm, agent-based technology, artificial neural network, ontology and discrete event simulation. Resulting from the development of the HMAS, an algorithm for manufacturer selection is also proposed. The simulation platform was tested, verified and validated with data from an industrial case study. The proposed algorithm is also compared with the algorithm used by an actual central company. The impact of the operation strategies of a central company on the performance of manufacturing networks is also presented. The HMAS platform and decision algorithm exhibit significant potential in manufacturing networks formation.
Starting Page	686
Ending Page	691
File Size	1161137
Page Count	6
File Format	PDF
ISBN	9781467317139
e-ISBN	9781467317146
e-ISBN	9781467317122
DOI	10.1109/ICSMC.2012.6377806
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-14
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Companies Manufacturing Artificial neural networks Reliability Production Data models Multiagent systems network formation Multi agent system manufacturing network resource holon order holon simulation
Content Type	Text
Resource Type	Article

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