Agent based architectures for mastering changes and disturbances in manufacturing

Research output: Conference contribution

2 Citations (Scopus)

Abstract

Management of complexity, changes and disturbances is one of the key issues of production today. Distributed, agent-based structures represent viable alternatives to hierarchical systems provided with reactive/proactive capabilities. In the paper approaches to distributed manufacturing architectures are surveyed, their fundamental features are highlighted. An object oriented simulation framework for development and evaluation of multi-agent manufacturing architectures is introduced together with an approach to agent-based scheduling. Further research issues are highlighted.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
PublisherSpringer Verlag
Pages755-764
Number of pages10
Volume1416
ISBN (Print)3540645748, 9783540645740
DOIs
Publication statusPublished - 1998
Event11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE - Benicassim, Spain
Duration: jún. 1 1998jún. 4 1998

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume1416
ISSN (Print)03029743
ISSN (Electronic)16113349

Other

Other11th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA-1998-AIE
CountrySpain
CityBenicassim
Period6/1/986/4/98

ASJC Scopus subject areas

  • Computer Science(all)
  • Theoretical Computer Science

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  • Cite this

    Monostori, L., & Kádár, B. (1998). Agent based architectures for mastering changes and disturbances in manufacturing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1416, pp. 755-764). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 1416). Springer Verlag. https://doi.org/10.1007/3-540-64574-8_462