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Multi-agent meta-model of a non-cooperative game in a virtual manufacturing network

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents the analysis of an approach to the issue of dynamic manufacturing networks scheduling. These aspects are closely connected with the concept of Virtual Enterprises (VE) and Virtual Manufacturing Network (VMN) in which integrated infrastructure of flexible resources is created. In the proposed paper it is analyzed the problem of scheduling tasks in such systems using the methods of game theory and multi-agent approach. The agents play an active role in the game theory approach to obtain access to resources that are needed in the process which is realized by them. Obtain results allow stating that this approach bring significant benefits to small and medium enterprises.

Original languageEnglish
Title of host publicationIntelligent Systems in Production Engineering and Maintenance - Proceedings of the 1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017
EditorsAnna Burduk, Dariusz Mazurkiewicz
PublisherSpringer Verlag
Pages316-323
Number of pages8
ISBN (Print)9783319644646
DOIs
Publication statusPublished - 2018
Event1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017 - Wroclaw, Poland
Duration: 28 Sept 201729 Sept 2017

Publication series

NameAdvances in Intelligent Systems and Computing
Volume637
ISSN (Print)2194-5357

Conference

Conference1st International Conference on Intelligent Systems in Production Engineering and Maintenance, ISPEM 2017
Country/TerritoryPoland
CityWroclaw
Period28/09/1729/09/17

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

Keywords

  • Game theory
  • Multi-agent system
  • Scheduling

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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