Paper Info
Title
Multi-agent systems for real time resource allocation, scheduling, optimization and controlling: industrial applications
Abstract
The paper describes industrial application of multi-agent systems for real time resource allocation, scheduling, optimization and controlling in transportation, manufacturing and other applications. Multi-agent technology for adaptive scheduling and functionality of industrial multi-agent solution for transportation and manufacturing is presented. Future vision of new generation of network-centric multi-agent systems is given. Industrial experience and key learnings of practical applications are discussed.
Year
DOI
Venue
2011
10.1007/978-3-642-23181-0_1
HoloMAS
Keywords
Field
DocType
industrial experience,real time resource allocation,future vision,multi-agent system,new generation,industrial application,adaptive scheduling,key learning,industrial multi-agent solution,multi-agent technology,network-centric multi-agent system
Industrial engineering,Fair-share scheduling,Scheduling (computing),Scheduling (production processes),Multi-agent system,Resource allocation,Engineering,Dynamic priority scheduling
Conference
Citations 
PageRank 
References 
16
1.90
10
Authors
1
Name
Order
Citations
PageRank
Petr Skobelev111824.61