Business Dynamics
New manufacturing modeling methodology: a hybrid approach to manufacturing enterprise simulation
Proceedings of the 35th conference on Winter simulation: driving innovation
Applicability of hybrid simulation to different modes of governance in UK healthcare
Proceedings of the 40th Conference on Winter Simulation
System dynamics: what's in it for healthcare simulation modelers
Proceedings of the 40th Conference on Winter Simulation
Mixing other methods with simulation is no big deal
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
A multi-paradigm, whole system view of health and social care for age-related macular degeneration
Proceedings of the Winter Simulation Conference
Seven pitfalls in modeling and simulation research
Proceedings of the Winter Simulation Conference
Agent-based conceptual model representation using BPMN
Proceedings of the Winter Simulation Conference
Designs for the complementary use of system dynamics and discrete-event simulation
Proceedings of the Winter Simulation Conference
Cross-paradigm simulation modeling: challenges and successes
Proceedings of the Winter Simulation Conference
Large scale healthcare modeling by hybrid simulation techniques using AnyLogic
Proceedings of the 6th International ICST Conference on Simulation Tools and Techniques
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The idea of combining discrete-event simulation and system dynamics has been a topic of debate in the operations research community for over a decade. Many authors have considered the potential benefits of such an approach from a methodological or practical standpoint. However, despite numerous examples of models with both discrete and continuous parameters in the computer science and engineering literature, nobody in the OR field has yet succeeded in developing a genuinely hybrid approach which truly integrates the philosophical approach and technical merits of both DES and SD in a single model. In this paper we consider some of the reasons for this and describe two practical healthcare examples of combined DES/SD models, which nevertheless fall short of the "holy grail" which has been so widely discussed in the literature over the past decade.