dc.contributor.author |
Sardis, ES |
en |
dc.date.accessioned |
2014-03-01T02:45:58Z |
|
dc.date.available |
2014-03-01T02:45:58Z |
|
dc.date.issued |
2009 |
en |
dc.identifier.uri |
https://dspace.lib.ntua.gr/xmlui/handle/123456789/32490 |
|
dc.subject |
Industrial plants |
en |
dc.subject |
Multi-agent |
en |
dc.subject |
Process planning |
en |
dc.subject |
Workflows |
en |
dc.subject.other |
Industrial environments |
en |
dc.subject.other |
Management strategies |
en |
dc.subject.other |
Manufacturing companies |
en |
dc.subject.other |
Manufacturing enterprise |
en |
dc.subject.other |
Manufacturing industries |
en |
dc.subject.other |
Manufacturing performance |
en |
dc.subject.other |
Multi-Agent |
en |
dc.subject.other |
Multiagent framework |
en |
dc.subject.other |
Planning and scheduling |
en |
dc.subject.other |
Suboptimal solution |
en |
dc.subject.other |
Technological aspects |
en |
dc.subject.other |
Work-flows |
en |
dc.subject.other |
Image processing |
en |
dc.subject.other |
Imaging systems |
en |
dc.subject.other |
Management |
en |
dc.subject.other |
Manufacture |
en |
dc.subject.other |
Multi agent systems |
en |
dc.subject.other |
Process control |
en |
dc.subject.other |
Process engineering |
en |
dc.subject.other |
Industrial plants |
en |
dc.title |
Applying multi-agents technologies in industrial plants |
en |
heal.type |
conferenceItem |
en |
heal.identifier.primary |
10.1109/IWSSIP.2009.5367727 |
en |
heal.identifier.secondary |
http://dx.doi.org/10.1109/IWSSIP.2009.5367727 |
en |
heal.identifier.secondary |
5367727 |
en |
heal.publicationDate |
2009 |
en |
heal.abstract |
The manufacturing industries are now experiencing fierce pressure of competition. The advancement in computer networks and information technologies has been gradually reshaping the manufacturing companies by shifting from the industrial age to the information era. A number of new manufacturing and management strategies have emerged for the innovation of manufacturing enterprises. Process and workflow planning and scheduling are considered as two separate and distinct phases in manufacturing. Traditional approaches to these problems do not consider the constraints of both domains simultaneously and can only result in sub-optimal solutions. This separation becomes a barrier to further improving manufacturing performance. This paper proposes a multi agent framework for industrial plants and its related architecture and technological aspects in order to be designed and implemented for enhancing the performance of industrial environments and plants. ©2009 IEEE. |
en |
heal.journalName |
2009 16th International Conference on Systems, Signals and Image Processing, IWSSIP 2009 |
en |
dc.identifier.doi |
10.1109/IWSSIP.2009.5367727 |
en |