DocumentCode :
49959
Title :
Past, Present, and Future of Industrial Agent Applications
Author :
Leitao, Paulo ; Marik, Vladimir ; Vrba, Pavel
Author_Institution :
Dept. of Electr. Eng., Polytech. Inst. of Braganca, Braganca, Portugal
Volume :
9
Issue :
4
fYear :
2013
fDate :
Nov. 2013
Firstpage :
2360
Lastpage :
2372
Abstract :
Industrial agents technology leverages the benefits of multiagent systems, distributed computing, artificial intelligence techniques and semantics in the field of production, services and infrastructure sectors, providing a new way to design and engineer control solutions based on the decentralization of control over distributed structures. The key drivers for this application are the benefits of agent-based industrial systems, namely in terms of robustness, scalability, reconfigurability and productivity, all of which translate to a greater competitive advantage. This manuscript monitors the chronology of research and development of the industrial applications of multiagent and holonic systems. It provides the comprehensive overview of methodologies, architectures and applications of agents in industrial domain from early nineties up to present. It also gives an outlook of the current trends as well as challenges and possible future application domains of industrial agents.
Keywords :
distributed processing; factory automation; intelligent manufacturing systems; multi-agent systems; production engineering computing; productivity; robust control; agent-based industrial systems; artificial intelligence techniques; control decentralization; control solutions; distributed computing; distributed structures; holonic systems; industrial agent applications; industrial agent technology; infrastructure sectors; multiagent systems; production sector; productivity; reconfigurability; research and development; robustness; scalability; semantics; service sectors; Manufacturing; Multiagent systems; Ontologies; Semantics; Software agents; Software engineering; Holonic systems; industrial agents; multiagent systems (MAS); production planning; real-time control; semantic technologies manufacturing;
fLanguage :
English
Journal_Title :
Industrial Informatics, IEEE Transactions on
Publisher :
ieee
ISSN :
1551-3203
Type :
jour
DOI :
10.1109/TII.2012.2222034
Filename :
6319392
Link To Document :
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