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Volume 10 article 230 pages: 135 - 142
and modelling has been widely accepted as one of the most important aspects of
the Industrial engineering. The application and use of simulation models has
grown exponentially since the 1950’ until today. Over the years, the complexity
of the simulated aspects has been adapted to the complexity of the analysed
cases which has risen proportionally too. That is why techniques used many
years ago, can often not give an adequate representation of the real world any
more. For that reason, we propose to use hybrid simulation models, which are a
combination of simulation paradigms in order to cope with this problem. In this
paper, we will give an overview of selected researches and applications with an
emphasis on Discrete Event Simulation and System Dynamics, as one of the core
simulation based techniques in that area.
research is supported by a Macedonian- Austrian research project titled as
“Joint simulation model for strategic decision support” funded by both
Alvanchi, A., Lee, S. & AbouRizk, S.M., 2009. Modeling Architecture for Hybrid System Dynamics and Discrete Event Simulation. ASCE Conference Proceedings, 339(41020), p.131.
Abu Gaben, M., Krcevinac, S., Vujocevic, M.: Modelujuci sistemi u optimizaciji, (2007) Journal of Applied Engineering Science (Istrayivanja i projektovanja za privredu), no. 18, p. 37-47
Baines T, Harrison D. 1999. An opportunity for system dynamics in manufacturing system modeling. Production Planning and Control 10(6): 542-552
Banks, J. et al., 2004. Discrete-Event System Simulation (4th Edition), Prentice Hall.
Banks, J., Hugan, J. & Lendermann, P., 2003. The future of the simulation industry. In E. S. Chick, P. J. Sánchez, D. Ferrin, and D. J. Morrice, ed. Proceedings of the 2003 Winter Simulation Conference. pp. 2033-2043.
Banks, J. ed., 1998. Handbook of simulation, Wiley Online Library.
Barton J, Love D, Taylor G. 2001. Evaluating design implementation strategies using simulation. International Journal of Production Economics 72: 285-299
Bauer C, Whitehouse G, Brooks G. 1982. Computer simulation of production system: Phase I. Technical Report COE No. 82-83-1. The University of Central Florida, Orlando, FL
Brailsford, S.C., Desai, S.M. & Viana, J., 2010. Towards the holy grail: combining system dynamics and discrete-event simulation in healthcare. In B. Johansson et al., eds. Proceedings of the 2010 Winter Simulation Conference. pp. 2293-2303.
Brailsford, S.C. & Hilton, N., 2001. A comparison of discrete event simulation and system dynamics for modelling health care systems. Food in Canada, pp.1-17.
Curovic, D., Vasic, B., Popovic, V., Curovic, N.:Ekspertsko planiranje proizvodnje, (2008) Journal of Applied Engineering Science (Istrazivanja i projektovanja u privredi), no. 20, p.49-57
Chahal, K. & Eldabi, T., 2010. A generic framework for hybrid simulation in healthcare. In Proceedings of the 28th International Conference of the System Dynamics Society. System Dynamics Society.
Chahal, K. & Eldabi, T., 2008a. Applicability of hybrid simulation to different modes of governance in UK healthcare. In S. J. Mason et al., eds. Proceedings of the 2008 Winter Simulation Conference. pp. 1469-1477.
Chahal, K. & Eldabi, T., 2008b. System Dynamics and Discrete Event Simulation: A Meta-Comparison. In the proccedings of UK Operational Reserach Society Simulation Workshop. pp. 189-197.
Chahal, K. & Eldabi, T., 2008c. Which is more appropriate: A multiperspective comparison between System Dynamics and Discrete Event Simulation. In Proceedings of the European and Mediterranean Conference on Information Systems. Al Bustan Rotana Hotel, Dubai
Choi K, Bae D, Kim T. 2006. An approach to a hybrid software process simulation using the DEVS formalism. Software Process: Improvement and Practice 11(4): 373-383
Crespo-Marquez, A., Usano, R.R. & Aznar,R.D., 1993. Continuous and Discrete Simulation in a Production Planning System. AComparative Study. In E. Zepeda & J. A. D. Machuca, eds. Proceedings of the 1993 International System Dynamics Conference. System Dynamics Society, p. 8p.
Davis, W. & Moeller, G.L., 1999. The High Level Architecture: is there a better way? In P. A. Farrington et al., eds. Proceedings of the 1999 Winter Simulation Conference. pp. 1595-1601.
Forrester, J.W., 1968. Principles of Systems, Pegasus Communications.
Godding G, Sarjoughian H, Kempf K. 2003. Semiconductor supply network simulation. The Winter Simulation Conference, Dec 7- 10, New Orleans, LA
Helal, M. et al., 2007. A methodology for Integrating and Synchronizing the System Dynamics and Discrete Event Simulation Paradigms. Industrial Engineering.
Huang, P. et al., 2004. Utilizing simulation to evaluate business decisions in sense-andrespond systems. Simulation, (2000).
Johnson, S. & Eberlein, B., 2002. Alternative modeling approaches: a case study in the oil & gas industry. In 20th System Dynamics Conference, Palermo, Italy.
Kieckhafer, K. et al., 2009. Integrating agentbased simulation and system dynamics to support product strategy decisions in the automotive industry. Proceedings of the 2009 Winter Simulation Conference, pp.1433-1443.
Lane, D. C., 2000. You Just Don’t Understand Me: Modes of failure and success in the discourse between system dynamics and discrete event simulation.LSE OR Working Paper 00.34.
Law, A., 2006. Simulation Modeling and Analysis, Mcgraw Hill Higher Education. Lee, SangHyun, Han, S. & Peña-Mora, F., 2007. Hybrid System Dynamics and Discrete Event Simulation for Construction Management. Computing in Civil Engineering 2007, (May 2011), p.29.
Marin, M. et al., 2010. Supply chain and hybridmodeling: the panama canal operations and its salinity diffusion. In B. Johansson et al., eds. Proceedings of the 2010 Winter Simulation Conference. pp. 2023-2033.
Martin, R. & Raffo, D., 2001. Application of a hybrid process simulation model to a software development project. Journal of Systems and Software, 59, pp.237-246.
Meadows, D.H., 2008. Thinking in Systems: A Primer D. Wright, ed., Chelsea Green Publishing.
Owen, C., Love, D. & Albores, P., 2008. Selection of simulation tools for improving supply chain performance. Business, pp.199-207.
Pastrana, J. et al., 2010. Enterprise scheduling: Hybrid and hierarchical issues. In B. Johansson et al., eds. Proceedings of the 2010 Winter Simulation Conference. IEEE, pp. 3350–3362.
Pena-Mora, F. et al., 2008. Strategic-Operational Construction Management: Hybrid System Dynamics and Discrete Event Approach. Journal of Construction Engineering and Management, 134(9), p.701.
Rabelo, L. et al., 2003. A Hybrid Approach to Manufacturing Enterprise Simulation. Proceedings of the 2003 International Conference on Machine Learning and Cybernetics; wintersim, 2, pp.1125-1133.
Rabelo, L. et al., 2005. Enterprise simulation:a hybrid system approach. International Journal of Computer Integrated Manufacturing, 18(6), pp.498-508.
Robinson, S., 2004a. Discrete-event simulation:from the pioneers to the present, what next? Journal of the Operational Research Society, 56(6), pp.619-629.
Robinson, S., 2004b. Simulation: The Practice of Model Development and Use, John Wiley& Sons Ltd.
Robinson, S. & Morecroft, J., 2006. Comparing discrete-event simulation and system dynamics: modelling a fi shery. In Proceedings of the Operational Research Society Simulation Workshop. pp. 137–148.
Ruiz-Usano, R. et al., 1996. System Dynamics and Discrete Simulation in a Constant Work-in-Process System: A Comparative Study. In G. P. Richardson & J. D. Sterman, eds. Proceedings of the 1996 International System Dynamics Conference. System Dynamics Society, pp. 457-460.
Schulze, T., 1999. On-line data processing in simulation models: new approaches and possibilities through HLA. In P. A. Farrington et al., eds. Proceedings of the 1999 Winter Simulation Conference. pp. 1602-1609.
Spasojevic, V., Klarin, M., Curovic, D.: Dimenzije menadzmenta kvalitetom isporucioca u industrijskim preduzecima Srbije, (2009), Journal of Applied Engineering Science (Istrazivanja i projektovanja u privredi), no. 23-24, p. 67-70
Sherwood, D., 2002. Seeing the Forest for the Trees: A Manager’s Guide to Applying Systems Thinking, Nicholas Brealey Publishing.
Sterman, J.D., 2006. Business Dynamics, McGraw-Hill. Sweetser, A., 1999. A Comparison of System Dynamics ( SD ) and Discrete Event Simulation ( DES ). System, p.8.
Tako, A.A. & Robinson, S., 2008. Model building in System Dynamics and Discreteevent Simulation: a quantitative comparison. Analysis.
Venkateswaran, J. & Son, Y.J., 2005. Hybrid system dynamic—discrete event simulationbased architecture for hierarchical production planning. International Journal of Production Research, 43(20), pp.4397-4429
Venkateswaran, J., Son, Y.J. & Jones, A., 2004. Hierarchical production planning using a hybrid system dynamic-discrete event simulation architecture. Proceedings of the 2004 Winter Simulation Conference, pp.1094-1102.
Wakeland, W.W. & Medina, U.E., 2010. Comparing Discrete Simulation and System Dynamics: Modeling an Anti-insurgency Infl uence Operation. Proceedings of the 28th International Conference of the System Dynamics Society, (1991), pp.1-23.
Ozgun, O. & Barlas, Y., 2009. Discrete vs. Continuous Simulation: When Does It Matter? Proceedings of the 27th International Conference of The System Dynamics Society, (06), pp.1-22