Abstract
This paper is focused on the description of (supply) management of a production unit (represented by multi-agent sub-system) in the model of agent-based computational economy. The concept is described both from internal and external perspective. Internal view describes internal processes like supplies management, production line processes and workforce allocation. External view is focused on interactions with other agents in the model environment, which provide necessary resources, workforce, and products required for continuous production. Both sides of communication are handled by production unit interface agent. Production of the unit is planned according to production contracts traded on the common market via broker agents. In order to function properly, behavior of agents in the model is designed according to common microeconomic principles. Internal architecture of the production unit is of large importance in the model, which is the main topic we would like to present and discuss in this paper.
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References
Agrell, P.J., Hatami-Marbini, A.: Frontier-based performance analysis models for supply chain management: State of the art and research directions. Computers & Industrial Engineering 66, 567–583 (2013)
Brusaferri, A., Ballarino, A., Carpanzano, E.: Distributed Intelligent Automation Solutions for Self-adaptive Manufacturing Plants. In: Ortiz, Á., Franco, R.D., Gasquet, P.G. (eds.) BASYS 2010. IFIP AICT, vol. 322, pp. 205–213. Springer, Heidelberg (2010)
Denkena, B., Henjes, J., Lorenzen, L.E.: Adaptive Process Chain Optimisation of Manufacturing Systems. In: ElMaraghy, H.A. (ed.) Enabling Manufacturing Competitiveness and Economic Sustainability, pp. 184–188. Springer, Heidelberg (2012)
Hamichi, S., Brée, D., Guessoum, Z., Mangalagiu, D.: A Multi-Agent System for Adaptive Production Networks. In: Di Tosto, G., Van Dyke Parunak, H. (eds.) MABS 2009. LNCS, vol. 5683, pp. 49–60. Springer, Heidelberg (2010)
Chaib-Draa, B., Müller, J.P.: Multiagent based supply chain management. Springer (2006)
Ivanov, D., Sokolov, B., Kaeschel, J.: Integrated Adaptive Design and Planning of Supply Networks. In: Dangelmaier, W., Blecken, A., Delius, R., Klöpfer, S. (eds.) IHNS 2010. LNBIP, vol. 46, pp. 152–163. Springer, Heidelberg (2010)
Lawrence, J.A., Pasternack, B.A.: Applied management science: modeling, spreadsheet analysis, and communication for decision making. Wiley, New York (2002)
Schuldt, A.: Multiagent coordination enabling autonomous logistics. KI-Künstliche Intelligenz 26, 91–94 (2012)
Tesfatsion, L.: Agent-based computational economics: modeling economies as complex adaptive systems. Information Sciences 149, 262–268 (2003)
van Aart, C.: Organizational Principles for Multi-Agent Architectures. Springer (2005)
Zimmermann, R.: Agent-based Supply Network Event Management. Springer (2006)
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Tucnik, P., Nemcova, Z. (2015). Production Unit Supply Management Solution in Agent-Based Computational Economics Model. In: Barbucha, D., Nguyen, N., Batubara, J. (eds) New Trends in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-319-16211-9_35
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DOI: https://doi.org/10.1007/978-3-319-16211-9_35
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16210-2
Online ISBN: 978-3-319-16211-9
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