TY - GEN
T1 - Holonic multi-agent system
T2 - 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
AU - Jules, Guiovanni
AU - Saadat, Mozafar
AU - Li, Nan
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
KW - manufacturing network
KW - Multi agent system
KW - network formation
KW - order holon
KW - resource holon
KW - simulation
UR - http://www.scopus.com/inward/record.url?scp=84872418596&partnerID=8YFLogxK
U2 - 10.1109/ICSMC.2012.6377806
DO - 10.1109/ICSMC.2012.6377806
M3 - Conference contribution
AN - SCOPUS:84872418596
SN - 9781467317146
T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
SP - 686
EP - 691
BT - Proceedings 2012 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2012
Y2 - 14 October 2012 through 17 October 2012
ER -