DocumentCode :
3190691
Title :
Ant stigmergy shop floor control architecture for intelligent product oriented manufacturing system
Author :
Xing, Bo ; Gao, Wen-Jing ; Battle, Kimberly ; Marwala, Tshilidzi ; Nelwamondo, Fulufhelo V.
Author_Institution :
Fac. of Eng. & the Built Environ., Univ. of Johannesburg, Johannesburg, South Africa
fYear :
2010
fDate :
10-13 Oct. 2010
Firstpage :
4182
Lastpage :
4189
Abstract :
In this paper we consider an alternative approach to the problem of infusing local shop floor control decisions with more global performance information. The approach proposed is that of using artificial ant colonies to decentralize and autonomize the shop floor routing. The proposed ant stigmergy shop floor control (ASSFC) has two functional levels: a virtual shop floor level in which ant agents explore optimal processing route stochastically, and a physical shop floor in which intelligent work pieces (IWPs) deterministically exploit the best paths that have been detected by their corresponding ant agents on virtual shop floor. The simple indirect communication and the robust adaptability to disturbances make the ASSFC more suitable for intelligent product oriented manufacturing system than tradition shop floor control.
Keywords :
control engineering computing; manufacturing data processing; manufacturing systems; multi-agent systems; optimisation; virtual reality; anti stigmergy shop floor control architecture; artificial ant colonies; intelligent product oriented manufacturing system; intelligent work pieces; optimal processing route; physical shop floor; shop floor routing; virtual shop floor; Africa; Computer architecture; agent cooperation; ant colony; intelligent product; radio frequency identification; shop floor control; stigmergy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems Man and Cybernetics (SMC), 2010 IEEE International Conference on
Conference_Location :
Istanbul
ISSN :
1062-922X
Print_ISBN :
978-1-4244-6586-6
Type :
conf
DOI :
10.1109/ICSMC.2010.5642508
Filename :
5642508
Link To Document :
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