Title :
Methods to Support Holon Aggregation in Holonic Manufacturing System
Author :
Liu, Qing ; Liu, Dongbo ; Huang, Dao
Author_Institution :
Res. Inst. ofAutomation, East China Univ. of Sci. & Technol., Shanghai
Abstract :
With the growing changes in global market, manufacturing enterprise needs more agility to fulfill customized demand. Holonic manufacturing system (HMS) has advantages of both hierarchical and heterarchical structure, and is an effective way for manufacturing enterprises to be competitive. However, interaction among a large number of holons is complex. In this paper, two methods are presented as tools for holons aggregation. These methods will facilitate coordination inside HMS and make it more effective.
Keywords :
fuzzy set theory; genetic algorithms; intelligent manufacturing systems; pattern clustering; fuzzy C-means clustering algorithm; genetic algorithm; global market; holon aggregation tool; holonic manufacturing system; intelligent manufacturing system; manufacturing enterprise; Assembly; Computational intelligence; Consumer electronics; Design methodology; Educational institutions; Globalization; Humans; Manufacturing systems; Production materials; Raw materials; Holonic manufacturing system (HMS); aggregation; fuzzy C-clustering; genetic algorithm; holon;
Conference_Titel :
Computational Intelligence and Design, 2008. ISCID '08. International Symposium on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3311-7
DOI :
10.1109/ISCID.2008.138
