Abstract
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.
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References
Chang, Y., Makatsoris, H.: Supply chain modelling using simulation. International Journal of Simulation 2(1), 24–30 (2001)
Moyaux, T., Chaib-Draa, B., D’Amours, S.: Supply chain management and multiagent systems: an overview. In: Multiagent Based Supply Chain Management, pp. 1–27. Springer (2006)
Kumar, V., Srinivasan, S.: A review of supply chain management using multi-agent system. International Journal of Computer Science Issues 7(5), 198–205 (2010)
Shen, W., Hao, Q., Yoon, H.J., Norrie, D.H.: Applications of agent-based systems in intelligent manufacturing: an updated review. Advanced Engineering Informatics 20, 415–431 (2006)
Ganeshan, R., Jack, E., Magazine, M.J., Stephens, P.: A taxonomic review of supply chain management research. Kluwer Academic Publishers, Boston (1998)
Ganeshan, R., Harrison, T.P.: An introduction to supply chain management (1995), http://lcm.csa.iisc.ernet.in/scm/supply_chain_intro.html (accessed October 01, 2011)
Lummus, R.R., Vokurka, R.J.: Defining supply chain management: a historical perspective and practical guidelines. Industrial Management and Data Systems 99(1), 11–17 (1999)
Thomas, D.J., Griffin, P.M.: Coordinated supply chain management. European Journal of Operational Research 94, 1–15 (1996)
Graves, S.C.: Manufacturing planning and control (1999), http://mit.edu/sgraves/www/ProdPlanCh.pdf (accessed September 09, 2011)
Mabert, V.A.: The early road to material requirements planning. Journal of Operations Management 25(2), 346–356 (2007)
François, J.: Planification des chaînes logistiques: modélisation du système décisionnel et performances. Ph.D dissertation. University of Bordeaux 1, France (2007)
François, J., Okongwu, U., Deschamps, J.C., Lauras, M.: How do the key determinants of a distributed planning process impact on the performance of a supply chain? In: 5th International Conference on Advances in Production Management Systems, Bordeaux, France (2009)
Demazeau, Y.: From interactions to collective behaviour in agent-based systems. In: 1st European Conference on Cognitive Science, Saint-Malo, France (1995)
Ferber, J.: Les systèmes multi-agents, vers une intelligence collective. Inter Editions, Paris (1995)
Wooldridge, M.: An introduction to multiagent systems. John Wiley & Sons, London (2002)
Boissier, O., Gitton, S., Glize, P.: Caractéristiques des systèmes et des applications. In: Demazeau, Y. (ed.) Systèmes Multi-Agents, Arago, OFTA. Tec & Doc, Paris (2004)
Ben Hmida, F., Lejouad Chaari, W., Tagina, M.: Aspect-based multiagent systems observation for performance evaluation. In: 4th International Conference on Intelligent Systems and Agents, Amsterdam, Holland (2008)
Ben Hmida, F., Lejouad Chaari, W., Tagina, M.: Performance evaluation of multiagent systems: communication criterion. In: 2nd International Symposium on Agent and Multi-Agent Systems: Technologies and Applications, Incheon, South Corea (2008)
Ben Hmida, F., Lejouad Chaari, W., Tagina, M.: Graph thoery to evaluate communication in industrial multiagent systems. International Journal of Intelligent Information and Database Systems 5(4), 361–388 (2011)
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Hmida, F.B., Seguy, A., Dupas, R. (2012). MultiAgent Systems for Production Planning and Control in Supply Chains. In: Omatu, S., De Paz Santana, J., González, S., Molina, J., Bernardos, A., Rodríguez, J. (eds) Distributed Computing and Artificial Intelligence. Advances in Intelligent and Soft Computing, vol 151. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28765-7_24
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DOI: https://doi.org/10.1007/978-3-642-28765-7_24
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-28764-0
Online ISBN: 978-3-642-28765-7
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