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A Way of Simulation Transport Processes and Distrubances in Supply Chain

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The paper presents a description of how to model the supply chain using simulation software. In order to make the best representation of reality, not only the route and the lorry’s speed are taken into account, but also the presence of various types of disturbances, like the occurrence of severe weather conditions or the inclusion of the driver’s breaks, according to the applicable regulations. The purpose of this article is to demonstrate how to model the disturbance and to present benefits of using of simulation programs to plan a route of transport.
Rocznik
Strony
141--153
Opis fizyczny
Bibliogr. 19 poz., fig., tab.
Twórcy
  • Faculty of Engineering Management, Poznan Univesity of Technology, ul. Strzelecka 11, 60-965 Poznan, Poland
autor
  • Faculty of Engineering Management, Poznan Univesity of Technology, ul. Strzelecka 11, 60-965 Poznan, Poland
Bibliografia
  • 1. Balbo F. & Pinson S. (2005), Dynamic modeling of a disturbance in a multi-agent system for traffic regulation, Decision Support System 41, pp. 131-146.
  • 2. Bocewicz G., Nielsen P., Banaszak Z. & Dang Q.V. (2013), Multimodal Processes Cyclic States Scheduling. In: I. Corchado, J.M. Bajo, J. Kozlak, J. Pawlewski, P. Molina, J.M. Julian, V. Silveira, R.A. Unland, S. Girox (eds.), Highlights on Practical Applications of Agents and Multi-Agent Systems, Springer, Heidelberg, pp. 73-85.
  • 3. Caddy I.N. & Helou M.M. (2007), Supply chains and their management: Application of general systems theory, J. of Retailing and Consumer Services, 14, pp. 319-327.
  • 4. Cassandras C.G. & Lafortune S. (2008), Introduction to Discrete Event Systems Second Edition, Springer, Heidelberg, ISBN-13: 978-0-387-33332-8, pp. 557-615.
  • 5. Chen S., Peng H., Liu S. & Yang Y. (2009), A Multimodal Hierarchical-based Assignment Model for Integrated Transportation Networks, Journal of Transportation Systems Engineering and Information Technology, Vol. 9, Issue 6, pp. 130-135.
  • 6. Gheorghe A., Birchmeier J. & Kröger W. (2004), Advanced Spatial Modelling for Risk Analysis of Transportation Dangerous Goods. In: Spitzer et al. (eds.), Probabilistic Safety Assessment and Management, Springer, Heidelberg, pp. 2499-2504.
  • 7. Hoffa P. & Pawlewski P. (2014a), Agent Based Approach for Modeling Disturbances in Supply Chain. In: J.M. Corchado, J. Bajo & Other (eds.), Highlights of Practical Applications of Heterogeneous Multi-Agent Systems, Communications in Computer and Information Science, Springer, Heidelberg, pp. 144-155.
  • 8. Hoffa P. & Pawlewski P. (2014b), Models of Organizing Transport Tasks Including Possible Disturbances and Impact of Them on the Sustainability of the Supply Chain. In: P. Pawlewski, A. Greenwood (eds.), Process Simulation and Optimization in Sustainable Logistics and Manufacturing, Eco Production. Environmental Issues in Logistics and Manufacturing, Springer, Cham-Heidelberg-New York-Dordrecht-London, pp. 141-151.
  • 9. <http://www.anylogic.com/agent-based-modeling> [01.2014].
  • 10. <https://www.flexsim.com/> [01.015].
  • 11. <http://www.llamasoft.com/supply-chain-simulation-software.html> [03.2015].
  • 12. <http://isap.sejm.gov.pl/> [01.2015].
  • 13. <http://www.traxelektronik.pl/pogoda/lokalizacja.php?RejID=8&B=1366&H=728> [03.2015].
  • 14. Kim S.-H. & Robertazzi T.G. (2006), Modeling Mobile Agent Behavior, Computers and Mathematics with Applications, 51, pp. 951-966.
  • 15. Macal C.M. & North M.J. 2013 Introductory tutorial: Agent-Based Modeling and Simulation, Winter Simulation Conference, pp. 362-376.
  • 16. Marseguerra M., Zio E. & Bianchi M. (2003), A fuzzy model for the estimate of the accident rate in road transport of hazardous materials. In: Bedford & van Gelder (eds.), Safety and Reliability, Swets & Zeitlinger, Lisse, pp. 1085-1092.
  • 17. Skorupski J. (2011), Sieci Petriego jako narzędzie do modelowania procesów ruchowych w transporcie, Prace Naukowe Politechniki Warszawskiej, Transport, z. 78, pp. 69-84.
  • 18. Wieland A. & Wallenburg C.M. (2011), Supply-Chain-Management in stürmischen Zeiten, Berlin.
  • 19. Wilhelm T. & Hollunder J. (2007), Information theoretic description of networks, Physica A, Vol. 385, Issue 1, pp. 385-396.
Uwagi
Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-9f48c51b-c57e-44b9-a9d9-4009bdece658
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