Cooperative planning in the supply network - A multiagent organization model

Péter Egri, József Váncza

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

7 Citations (Scopus)

Abstract

The paper presents an approach for modelling the planning processes in supply networks at various partners, on different horizons and aggregation levels. After introducing an overall planning framework, we apply the Gaia agent-oriented analysis and design methodology to construct an organizational model for supply networks that operate in markets of customized mass products. The paper presents the main elements of this model, the necessary extensions of Gaia, and discusses the next steps towards developing and validating a portfolio of cooperation mechanism.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Pages346-356
Number of pages11
DOIs
Publication statusPublished - Dec 1 2005
Event4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005 - Budapest, Hungary
Duration: Sep 15 2005Sep 17 2005

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3690 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other4th International Central and Eastern European Conference on Multi-Agent Systems, CEEMAS 2005
CountryHungary
CityBudapest
Period9/15/059/17/05

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ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

Cite this

Egri, P., & Váncza, J. (2005). Cooperative planning in the supply network - A multiagent organization model. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 346-356). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 3690 LNAI). https://doi.org/10.1007/11559221_35