A new decision making approach for the formation of holonic agent-based manufacturing networks

G. D. Jules, M. Saadat, N. Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The research paper presents the methodology used to develop decision algorithms for order holons. Two algorithms are presented in this paper. The algorithms model an actual job allocation system and a conceptual one for the formation of networks of manufacturers. The first algorithm is derived from an industrial case study. The second algorithm exploits the use of multiple flexibility parameters to improve the performance of the job allocation system on quality, cost and delivery time. Multi-agent system (MAS) and discrete event simulation constitute the methodology which allows the two algorithms to be run in a verified and validated environment. The results of the simulation show that the second algorithm outperforms the first algorithm on network conformance reliability, production cost and order delivery times. Eventually, the methodology will be developed to test the algorithms in the market conditions of a volatile environment.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
PublisherIEEE Computer Society
Pages578-582
Number of pages5
ISBN (Print)9781467329453
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012 - Hong Kong, China
Duration: 10 Dec 201213 Dec 2012

Publication series

NameIEEE International Conference on Industrial Engineering and Engineering Management
ISSN (Print)2157-3611
ISSN (Electronic)2157-362X

Conference

Conference2012 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2012
Country/TerritoryChina
CityHong Kong
Period10/12/1213/12/12

Keywords

  • flexibility
  • MAS
  • MN

ASJC Scopus subject areas

  • Business, Management and Accounting (miscellaneous)
  • Industrial and Manufacturing Engineering
  • Safety, Risk, Reliability and Quality

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