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

Volume

2

fYear

2008

fDate

17-18 Oct. 2008

Firstpage

215

Lastpage

219

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design, 2008. ISCID '08. International Symposium on

Conference_Location

Wuhan

Print_ISBN

978-0-7695-3311-7

Type

conf

DOI

10.1109/ISCID.2008.138

Filename

4725493