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ExPlanTech: Multiagent Support for Manufacturing Decision Making

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F05%3A03107146" target="_blank" >RIV/68407700:21230/05:03107146 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    ExPlanTech: Multiagent Support for Manufacturing Decision Making

  • Original language description

    This article presents and discusses the potential of agent technologies in the manufacturing domain. It reports on the authors' experiences in deploying an open, Foundation for Intelligent Physical Agents-compliant agent-based solution in several industrial applications-namely, planning, simulation, and supply chain management. It primarily discuses and presents multiagent technologies' integration aspects. Besides the state-of-the-art review, the article provides a basic introduction to agent-based systems and lists requirements an application needs to be well suited to an agent-based solution. The articles' key contribution is its presentation of the ExPlanTech multiagent framework and technological architecture. The authors demonstrate the framework's general applicability through several use cases and in pivotal applications.

  • Czech name

    ExPlanTech: Multiagentni podpora rozhodovani ve vyrobe

  • Czech description

    Clanek prezentuje a diskutuje potencial agentnich technologii pro podporu rozhodovani ve vyrobe.

Classification

  • Type

    J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)

  • CEP classification

    JC - Computer hardware and software

  • OECD FORD branch

Result continuities

  • Project

  • Continuities

    R - Projekt Ramcoveho programu EK

Others

  • Publication year

    2005

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    IEEE Intelligent Systems

  • ISSN

    1094-7167

  • e-ISSN

  • Volume of the periodical

    20

  • Issue of the periodical within the volume

    9

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

  • UT code for WoS article

    000226698300012

  • EID of the result in the Scopus database