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Tytuł artykułu

Multi-agent Approach to Production Scheduling in Foundries

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Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper describes a complete framework that uses a multi-agent approach for production scheduling in a foundry. Different types of autonomous agents have been designed, each playing a different role in the supply chain management of the fodundry, along with their responsibility and behavior in the system. In order to generate a proper and reliable schedule the agents negotiate with each other by sending messages compliant to FIPA ACL standard. A prototype of the system has been implemented in JADE and allowed to conduct preliminary simulation of the system. Although some agents some agents have been omitted in the prototype, it was possible to verify the main assumptions of the system, as well as, to indicate and discuss potential problems with its implementation into production practice.
Rocznik
Strony
17--22
Opis fizyczny
Bibliogr. 15 poz., rys., tab.
Twórcy
autor
  • AGH University of Science and Technology, Faculty of Management, Gramatyka 10, 30-067 Krakow, Poland
autor
  • AGH University of Science and Technology, Faculty of Management, Gramatyka 10, 30-067 Krakow, Poland
Bibliografia
  • [1] Andreadis, G., Bouzakis, K.-D., Klazoglou, P. & Niwtaki, K. (2014). Review of agent-based systems in the manufacturing section. Universal Journal of Mechanical Engineering. 2(2), 55-59. DOI: 10.13189/ujme.2014.020204.
  • [2] Cowling, P., Ouelhadj, D., & Petrovic, S. (2004). Dynamic scheduling of steel casting and milling using multi-agents. Production Planning and Control. 15(2), 178-188. DOI:10.1080/09537280410001662466.
  • [3] Dangelmaier, W., Heidenreich, J. & Pape, U. (2005). Supply chain management: a multi-agent system for collaborative production planning. In The 2005 IEEE International Conference: e-Technology, e-Commerce and e-Service, 29 March - 1 April 2005 (pp. 309-314). DOI: 10.1109/EEE.2005.128.
  • [4] Duda, J. & Stawowy, A. (2007). A model for efficient production planning and reliable order promising in supply chain. In J. Phelan (Ed.), IMC 24: manufacturing: focus on the future (pp. 553-560). Waterford Institute of Technology.
  • [5] FIPA ACL message structure specification, Foundation for Intelligent Physical Agents. http://www.fipa.org/specs/fipa00061/SC00061G.pdf.
  • [6] Giret, A., Argente, E., Valero, S., Gómez, P. & Julian, V. (2005). Applying multi-agent system modelling to the scheduling problem in a ceramic tile factory. In Mass Customization Concepts-Tools Realization IMCM’05 (pp. 151-162). Berlin.
  • [7] He, D. & Babyan, A. (2003). Agent-based agile manufacturing system scheduling. In S. D'Amours & A. Guinet (Eds.), Intelligent Agent-Based Operations Management (pp. 87-108). Butterworth-Heinemann.
  • [8] Kobbacy, K.A.H., Vadera, S. & Rasmy, M.H. (2007). AI and OR in management of operations: history and trends. Journal of the Operational Research Society. 58(1), 10-28. DOI: 10.1057/palgrave.jors.2602132.
  • [9] Li, X., Zhang, C., Gao, L., Li, W. & Shao, X. (2010). An agent-based approach for integrated process planning and scheduling. Expert Systems with Applications. 37, 1256-1264. DOI: 10.1016/j.eswa.2009.06.014.
  • [10] Lima, R.M., Sousa, R.M. & Martins, P.J. (2006). Distributed production planning and control agent-based system. International Journal of Production Research. 44(18/19), 3693-3709. DOI:10.1080/00207540600788992.
  • [11] Ouelhadj, D., Petrovic, S., Cowling, P.I. & Meisels, A. (2004). Inter-Agent Cooperation and Communication for Agent-based Robust Dynamic Scheduling in Steel Production. Advanced Engineering Informatics. 18(3), 161-172. DOI: 10.1016/j.aei.2004.10.003.
  • [12] Pechoucek, M. & Marik, V. (2008). Industrial deployment of multi-agent technologies: review and selected case studies. Autonomous Agents and Multi-Agent Systems. 17(3), 397-431. DOI: 10.1007/s10458-008-9050-0.
  • [13] Stawowy, A. & Duda, J. (2013). Production scheduling for the furnace - casting line system. Archives of Foundry Engineering. 13(3), 84-87. DOI: 10.2478/afe-2013-0065.
  • [14] Wilk-Kołodziejczyk, D., Kluska-Nawarecka, S., Rojek, G. & Regulski, K. (2014). The Implementation of Computer Platform for Foundries Cooperating in a Supply Chain. Archives of Foundry Engineering. 14(3), 111-116. DOI: 10.2478/afe-2014-0073.
  • [15] Zarandi, F.M.H. & Kashani, A.F. (2013). A type 2 fuzzy multi agent based system for scheduling of steel production. In 2013 Joint IFSA World Congress and NAFIPS Annual Meeting, 24 -28 June 2013 (pp. 992-996). Edmonton, Alberta, Canada.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-0977f846-7e89-49b9-bc4e-ce2691196ccd
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