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MultiAgent Systems for Production Planning and Control in Supply Chains
- Source :
- Distributed Computing and Artificial Intelligence, 9th International Conference on Distributed Computing and Artificial Intelligence, 9th International Conference on Distributed Computing and Artificial Intelligence, Mar 2012, Salamanca, Spain. pp.205-212, Advances in Intelligent and Soft Computing ISBN: 9783642287640, DCAI
- Publication Year :
- 2012
- Publisher :
- HAL CCSD, 2012.
-
Abstract
- International audience; This paper presents a generic and extensible multiagent model for production planning and control in supply chains. The purpose of this work is to simulate different control architectures for a given supply chain in order to allow practitioners choose the control strategy that realizes the best benefits and the greater reactivity. The production planning is carried out using the material requirements planning method. Three types of control architectures are simulated on the basis of a test case application: centralized, distributed and mixed architecture.
- Subjects :
- Material requirements planning
Computer science
Distributed computing
Multi-agent system
Supply chain
Control (management)
production planning
simulation
Extensibility
ACTI
multiagent systems
Production planning
Work (electrical)
[INFO.INFO-MA]Computer Science [cs]/Multiagent Systems [cs.MA]
[INFO.INFO-MA] Computer Science [cs]/Multiagent Systems [cs.MA]
Architecture
control
supply chain
Subjects
Details
- Language :
- English
- ISBN :
- 978-3-642-28764-0
- ISBNs :
- 9783642287640
- Database :
- OpenAIRE
- Journal :
- Distributed Computing and Artificial Intelligence, 9th International Conference on Distributed Computing and Artificial Intelligence, 9th International Conference on Distributed Computing and Artificial Intelligence, Mar 2012, Salamanca, Spain. pp.205-212, Advances in Intelligent and Soft Computing ISBN: 9783642287640, DCAI
- Accession number :
- edsair.doi.dedup.....e0e4782687ef71afaee9cad343952a53