Supply Chain Management Using Multi-Agent Systems in the Agri-Food Industry
Autor: | Ait Si Larbi El Yasmine, Bekrar Abdel Ghani, Beldjilali Bouziane, Damien Trentesaux |
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Přispěvatelé: | Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Laboratoire d'Informatique d'Oran (LIO), University of Oran Es-Senia [Oran] | Université d'Oran Es-Senia [Oran], INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France)-Centre National de la Recherche Scientifique (CNRS)-Université de Valenciennes et du Hainaut-Cambrésis (UVHC) |
Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: |
Supply chain risk management
0209 industrial biotechnology Supply chain management Operations research Computer science Heuristic (computer science) Multi-agent system Supply chain agri-food supply chain 02 engineering and technology Demand chain [SPI.AUTO]Engineering Sciences [physics]/Automatic reactivity [SPI]Engineering Sciences [physics] 020901 industrial engineering & automation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing multi-agent systems Duration (project management) Value chain optimization |
Zdroj: | Studies in Computational Intelligence 3rd ERRIC Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics 3rd ERRIC Workshop on Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics, Jun 2013, Valenciennes, France Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics Service Orientation in Holonic and Multi-Agent Manufacturing and Robotics, 544, Springer International Publishing, pp.145-155, 2014, Studies in Computational Intelligence, ⟨10.1007/978-3-319-04735-5_10⟩ Studies in Computational Intelligence ISBN: 9783319047348 |
Popis: | International audience; This paper focuses on Multi-Agent Systems (MAS) applied to supply chain management (SCM) in the agri-food industry. The supply chain (SC) analysed includes the suppliers, manufacturers and distribution centres, considering that orders are sent by clients to the distribution centres. Many original constraints, such as the capacity of the suppliers and the manufacturers as well as balancing stocks, are supported in our contribution. Our proposal also considers some practical issues in agri-food SCM, such as expiry dates. The aim of our method is to find a near-optimal solution that minimizes costs and time throughout the SC process, whilst favouring reactivity. An AUML model shows the functioning of the MAS in the SC. The results obtained regarding duration and costs related to the execution of client orders were compared with those obtained using a heuristic that solves the optimization problem in the dynamic case, and a mathematical model in the static case. |
Databáze: | OpenAIRE |
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