Abstract
This paper presents a mesoscopic simulation approach in addition to the prevailing continuous and discrete event simulation approaches used for logistics systems. In terms of level of detail, the mesoscopic approach falls between these two approaches. Mesoscopic models represent logistics flow processes through piecewise constant flow rates. The resulting linearity of the cumulative flows allows for event scheduling and the use of mathematical formulas for recalculating the system‘s state variables at every simulation time step. The simulation time step is variable and the step size depends on the occurrence of scheduled events. This leads to a high computational performance. The mesoscopic approach distinguishes between different parallel product types. The modeling components are multichannel funnels, delays, assemblies and disassemblies.
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References
Aufenanger, M., Varnholt, H., Dangelmaier, W.: Adaptive Flow Control in Flexible Flow Shop Production Systems: A Knowledge-Based Approach. In: Rossetti, M.D., Hill, R.R., Johansson, B., Dunkin, A., Ingalls, R.G. (eds.) Proceedings of the 2009 Winter Simulation Conference, pp. 2164–2175. IEEE, Inc., Piscataway (2009)
Borshchev, A., Filippov, A.: From System Dynamics and Discrete Event to Practical Agent Based Modeling: Reasons, Techniques, Tools. In: Proceedings of the 22nd International Conference of the System Dynamics Society, Oxford, pp. 25–29 (2004)
Pierreval, H., Bruniaux, R., Caux, C.: A Continuous Simulation Approach for Supply Chains in the Automotive Industry. Simulation Modelling Practice and Theory 15(2), 185–198 (2007)
Scholz-Reiter, B., Delhoum, S., Zschintzsch, M., Jagalski, T., Freitag, M.: Inventory Control in Shop Floors, Production Networks and Supply Chains Using System Dynamics. In: Wenzel, S. (ed.) Tagungsband 12. ASIM-Fachtagung Simulation in Produktion und Logistik, pp. 273–282. SCS, Erlangen (2006)
Angerhofer, B.J., Angelides, M.C.: System Dynamic Modeling in Supply Chain Management: A Research Review. In: Joines, J.A., Barton, R.R., Kang, K., Fishwick, P.A. (eds.) Proceedings of the 2000 Winter Simulation Conference, pp. 342–351. IEEE, Inc., Piscataway (2000)
Sterman, J.D.: Business dynamics: System Thinking and Modeling for a Complex World. Irwin, McGraw-Hill, Boston (2000)
Anderson, E.G., Morrice, D.J.: A Simulation Model to Study the Dynamics in a Service-Oriented Supply Chain. In: Farrington, P.A., Nembhard, H.B., Sturrock, D.T., Evans, G.W. (eds.) Proceedings of the 2009 Winter Simulation Conference, pp. 742–748. IEEE, Inc., Piscataway (1999)
Größler, A.: System Dynamics zur Strategiesimulation im Produktionsmanagement. In: Specht, D. (ed.) Strategische Bedeutung der Produktion: Tagungsband der Herbsttagung 2006 der Wissenschaftlichen Kommission Produktionswirtschaft im VHB, pp. 83–87. Dt. Univ.-Verl., Wiesbaden (2007)
Schriber, T.J., Brunner, D.T.: Inside Discrete-Event Simulation Software: How it Works and Why it Matters. In: Mason, S.J., Hill, R.R., Mönch, L., Rose, O., Jefferson, T., Fowler, J.W. (eds.) Proceedings of the 2008 Winter Simulation Conference, pp. 182–192. IEEE, Inc., Piscataway (2008)
Banks, J.: Discret-Event System Simulation. Pearson, Prentice Hall, Upper Saddle River (2005)
Law, A.M.: Simulation Modeling and Analysis. McGraw-Hill, New York (2007)
Košturiak, J., Gregor, M.: Simulation von Produktionssystemen. Springer, Wien (1995)
Huber, D., Dangelmaier, W.: Controlled Simplification of Material Flow Simulation Models. In: Rossetti, M.D., Hill, R.R., Johansson, B., Dunkin, A., Ingalls, R.G. (eds.) Proceedings of the 2009 Winter Simulation Conference, pp. 839–850. IEEE, Inc., Piscataway (2009)
Scholz-Reiter, B., de Beer, C., Freitag, M., Hamann, T., Rekersbrink, H., Tervo, J.T.: Dynamik logistischer Systeme. In: Nyhuis, P. (ed.) Beiträge zu einer Theorie der Logistik, pp. 109–138. Springer, Berlin (2008)
Krahl, D.: ExtendSim Advanced Techology: Discrete Rate Simulation. In: Rossetti, M.D., Hill, R.R., Johansson, B., Dunkin, A., Ingalls, R.G. (eds.) Proceedings of the 2009 Winter Simulation Conference, pp. 333–338. IEEE, Inc., Piscataway (2009)
Damiron, C., Nastasi, A.: Discrete Rate Simulation Using Linear Programming. In: Mason, S.J., Hill, R.R., Mönch, L., Rose, O., Jefferson, T., Fowler, J.W. (eds.) Proceedings of the 2008 Winter Simulation Conference, pp. 740–749. IEEE, Inc., Piscataway (2008)
Kouikoglou, V.S., Phillis, Y.A.: Hybrid Simulation Models of Production Networks. Kluwer Academic/Plenum Publishers, New York (2001)
Schenk, M., Tolujew, J., Reggelin, T.: Mesoskopische Modellierung für die schnelle und aufwandsarme Planung und Steuerung robuster und sicherer Logistiksysteme. In: Pfohl, H.-C., Wimmer, T. (eds.) Robuste und sichere Logistiksysteme, pp. 263–292. DVV Media Group, Deutscher Verkehrs-Verlag, Hamburg (2008)
Schenk, M., Tolujew, J., Reggelin, T.: Comparison of Three Methods of Implementation of Mesoscopic Flow Models. In: Ivanov, D., Meinberg, U. (eds.) Logistics and Supply Chain Management: Modern Trends in Germany and Russia, pp. 36–44. Cuvillier Verlag, Göttingen (2009)
Reggelin, T.: A Mesoscopic Approach to Modeling and Simulation and its Application for a Logistics Hub. In: Internationale Maschinenbaukonferenz Comec 2008. Universidad Central “Marta Abreu” de Las Villas, Santa Clara (2008)
Savrasov, M., Tolujew, J.: Mesoscopic Approach to Modeling a Traffic System. In: Kopytov, E., Pranevicius, H., Zavadskas, E., Yatskiv, I. (eds.) International Conference Modelling of Business, Industrial and Transport Systems, pp. 147–151. TSI, Riga (2008)
Tolujew, J., Alcalá, F.: A Mesoscopic Approach to Modeling and Simulation of Pedestrian Traffic Flows. In: Horton, G. (ed.) Proceedings of the 18th European Simulation Multiconference, pp. 123–128. SCS, Ghent (2004)
Hanisch, A., Tolujew, J., Richter, K., Schulze, T.: Online Simulation of Pedestrian Flow in Public Buildings. In: Proceedings of the 2003 Winter Simulation Conference, pp. 1635–1641. IEEE, Inc., Piscataway (2003)
Tolujew, J., Reggelin, T.: Mesoskopische Simulation: Zwischen der kontinuierlichen und ereignisdiskreten Simulation. In: Rabe, M. (ed.) Advances in Simulation for Production and Logistics Applications: Tagungsband zur 13. Fachtagung, pp. 585–594. Fraunhofer IRB-Verlag, Stuttgart (2008)
Schenk, M., Tolujew, J., Reggelin, T.: Mesoscopic Modeling and Simulation of Logistics Networks. In: Preprints of the 13th IFAC Symposium on Information Control Problems in Manufacturing, Moscow, pp. 586–591 (2009)
Schenk, M., Tolujew, J., Reggelin, T.: Mesoskopische Simulation von Flusssystemen: Algorithmisch steuern und analytisch berechnen. In: Nyhuis, P. (ed.) Beiträge zu einer Theorie der Logistik, pp. 463–485. Springer, Berlin (2008)
Schenk, M., Tolujew, J., Reggelin, T.: Mesoskopische Modellierung und Simulation von Flusssystemen. In: Ivanov, D., Mueller, E., Lukinsky, V. (eds.) Logistics Collaboration DR-LOG 07, pp. 40–49. Publishing House of the Saint Petersburg State Polytechnical University, Saint Petersburg (2007)
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Schenk, M., Tolujew, J., Reggelin, T. (2010). A Mesoscopic Approach to the Simulation of Logistics Systems. In: Dangelmaier, W., Blecken, A., Delius, R., Klöpfer, S. (eds) Advanced Manufacturing and Sustainable Logistics. IHNS 2010. Lecture Notes in Business Information Processing, vol 46. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-12494-5_2
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DOI: https://doi.org/10.1007/978-3-642-12494-5_2
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