1. Proceedings
  2. I3M
  3. 2022
  4. EMSS
  5. 10.46354/i3m.2022.emss.019

Hybrid Simulation Design and Implementation

  • Andrew Greasley 
  • Department of Engineering Systems & Supply Chain Management, Aston University, Birmingham, B4 7ET
Cite as
Greasley A. (2022).,Hybrid Simulation Design and Implementation. Proceedings of the 34th European Modeling & Simulation Symposium (EMSS 2022). , 019 . DOI: https://doi.org/10.46354/i3m.2022.emss.019

Abstract

Hybrid Simulation in the Operational Research (OR) domain can be defined as the combination of two or more of the simulation methods of discrete-event simulation, agent-based simulation and system dynamics. This article examines how this combination might be achieved by reviewing the characteristics of the simulation methods, considering design view options and taking into account software tools for implementation. The purpose is to provide guidance on how hybrid simulation configurations can be designed and implemented.

References

  1. Brailsford, S.C.,Eldabi, T.,Kunc, M.,Mustafee, N.,Osorio, A.F. (2019).Hybrid simulation modelling inoperational research: A state-of-the-art review,European Journal of OperationalResearch, 278:721-737.
  2. Büth, L. Broderius, N., Herrmann, C., Thiede, S. (2017).Introducing agent-based simulation ofmanufacturingsystems to industrial discrete-eventsimulation tools,Proceedings of the15th InternationalConference on Industrial Informatics (INDIN), IEEE,1141-1146.
  3. Eldabi, T. (2021).Systemic characteristics to supporthybrid simulation modelling,Proceedings of the 2021Winter Simulation Conference, IEEE.
  4. Greasley, A. (2020).Architectures for combining discrete-event simulation and machine learning, Proceedings of the 10th International Conference on Simulation and Modeling Methodologies, Technologies and Applications (SIMULTECH 2020),SciTePress,47-58.
  5. Greasley, A. (2005).Using system dynamics in adiscrete-event simulation study of a manufacturingplant,International Journal of Operations andProduction Management, 25(5/6):534-548.
  6. Greasley, A. (2019).Simulating Business Processes forDescriptive, Predictive and Prescriptive Analytics,DeGruyter Press.
  7. Hafner, I.andPopper, N. (2017).On the terminology andstructuring of co-simulation methods,EOOLT’17: 8thInternational Workshop on Equation-Based Object-Oriented Languages and Tools,ACM,67-76.
  8. Hoad, K.andKunc, M. (2018).Teaching systemdynamics and discrete event simulation together: acase study,Journal of the Operational Research Society,69(4):517-527.
  9. Lättilä, L., Hilletofth, P.,Lin, B. (2010).HybridSimulation Models–When,Why, How?,ExpertSystems with Applications, 37:7969-7975.
  10. Morecroft, J. and Robinson, S. (2006). ComparingDiscrete-Event Simulation and System Dynamics:Modelling a Fishery,Proceedings of the OperationalResearch Society Simulation Workshop(SW06) Operational Research Society, Birmingham, UK,137-148.
  11. Morgan, J.S., Howick, S., Belton, V. (2017).A toolkit ofdesigns for mixing Discrete Event Simulation andSystem Dynamics,European Journal of OperationalResearch, 257:907-918.
  12. Mourtzis, D. (2020).Simulation in the design andoperation ofmanufacturing systems: state of the artand new trends,International Journal of ProductionResearch, 58(7):1927-1949.
  13. Oleghe, O. (2020).System dynamics analysis of supplychain financial management during capacityexpansion,Journal of Modelling in Management,15(2):623-645.
  14. Padilla, J.J., Diallo, S.Y., Lynch, C.J., Gore, R. (2018).Observations on the practice and profession ofmodeling and simulation: A surveyapproach,Simulation,94(6):493-506.
  15. Pegden, C.D. (2007).Simio: A new simulation systembased on intelligent objects,Proceedings of the 2007Winter Simulation Conference, 2293-2300.
  16. Rondini, A., Tornese, F., Gnoni, M.G.,Pezzotta, G.,Pinto, R. (2017).Hybrid simulation modelling as asupporting tool for sustainable product servicesystems: a critical analysis,International Journal ofProduction Research, 55(23):6932-6945.Rondini, A., Tornese, F., Gnoni, M.G.,Pezzotta, G.,Pinto, R. (2017).Hybrid simulation modelling as asupporting tool for sustainable product servicesystems: a critical analysis,International Journal ofProduction Research, 55(23):6932-6945.
  17. Tako, A.A., Eldabi, T., Fishwick, P., Krejci, C.C., Kunc, M.(2019).Panel–Towardsconceptual modelling forhybrid simulation:Setting the scene,Proceedings ofthe 2019 Winter Simulation Conference,1267-1278.
  18. Tian, Y., Zhao, M., Liu, M., Liao, Y., Huang, C., Hu, M.(2022).Hybridmodeling methodology forintegrating customers’ behaviors into system
  19. simulationto improve service operationsmanagement,SimulationModelling Practice andTheory, 115:102445.
  20. Vempiliyath, T.,Thakur, M., Hargaden, V. (2021). Development of a HybridSimulation Frameworkforthe Production Planning Process in the AtlanticSalmon Supply Chain,Agriculture,11:907.