ExPlanTech: multi-agent framework for production planning, simulation and supply chain management
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F05%3A00000588" target="_blank" >RIV/49777513:23520/05:00000588 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
ExPlanTech: multi-agent framework for production planning, simulation and supply chain management
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: multi-agent rámec pro plánování výroby, simulace a podporu řízení
Czech description
Tento článek prezentuje a diskutuje potenciál agentních technologií v oblasti výroby. Reportuje zkušenosti autorů z vývoje inteligentních agentů pro průmyslové aplikace, zejména plánování, simulace atd.
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
S - Specificky vyzkum na vysokych skolach
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
1541-1672
e-ISSN
—
Volume of the periodical
20
Issue of the periodical within the volume
—
Country of publishing house
US - UNITED STATES
Number of pages
8
Pages from-to
67
UT code for WoS article
—
EID of the result in the Scopus database
—