Gaia Analysis and Design of a Multi-agent-based Shop Floor Control System

  1. José Alberto Araúzo Araúzo 1
  2. Ricardo del Olmo Martínez 2
  3. Juan José Lavios Villahoz 2
  1. 1 Universidad de Valladolid
    info

    Universidad de Valladolid

    Valladolid, España

    ROR https://ror.org/01fvbaw18

  2. 2 Universidad de Burgos
    info

    Universidad de Burgos

    Burgos, España

    ROR https://ror.org/049da5t36

Journal:
Dirección y organización: Revista de dirección, organización y administración de empresas

ISSN: 1132-175X

Year of publication: 2014

Issue: 54

Pages: 26-35

Type: Article

DOI: 10.37610/DYO.V0I54.457 DIALNET GOOGLE SCHOLAR lock_openOpen access editor

More publications in: Dirección y organización: Revista de dirección, organización y administración de empresas

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SCImago Journal Rank

  • Year 2014
  • SJR Journal Impact: 0.198
  • Best Quartile:
  • Area: Business, Management and Accounting (miscellaneous) Quartile: - Rank in area: 185/355
  • Area: Industrial and Manufacturing Engineering Quartile: - Rank in area: 198/540

Índice Dialnet de Revistas

  • Year 2014
  • Journal Impact: 0.070
  • Field: ECONOMÍA Quartile: C3 Rank in field: 83/161

CIRC

  • Social Sciences: B
    •

Scopus CiteScore

  • Year 2014
  • CiteScore of the Journal : 0.3
  • Area: Decision Sciences (all) Percentile: 1

Dimensions

(Data updated as of 01-04-2023)
  • Total citations: 0
  • Recent citations: 0

Abstract

To achieve competitiveness in the today’s manufacturing plants; many researchers suggest agent based manufacturing systems, with scheduling and control activities distributed on several entities called agents. To develop this kind of systems some promising agent-oriented software methodologies, as Gaia, have been proposed. They provide the concepts and procedures to define the main features of multi-agent systems. In this paper we show how we used the Gaia methodology to analyze and design a multi-agent-based shop floor control system that has been further implemented by JADE. We also show preliminary computational experiments that show as our approach has a good performance in flexible environments.

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