2018 Winter Simulation Conference (WSC) · 2018 · 61 citations · 34 references
EngineeringComputer ScienceSystems EngineeringModel-based Systems EngineeringSystems ArchitectureSystems ModelingComputational ModelingHybrid SystemsSimulation MethodsSimulation ModelingSystem SimulationCo-simulationHybrid SimulationHybrid Simulation ModelsModeling And Simulation
Hybrid Simulation combines simulation approaches such as SD, DES, and ABS during model implementation, while Hybrid Systems Modelling merges simulation with methods from applied computing, computer science, engineering, and operations research. The study aims to better represent systems by presenting a classification of Hybrid Simulation and extending it to include Hybrid Systems Modelling approaches that integrate simulation with other OR techniques. Hybrid Systems Modelling can be applied at multiple stages of a simulation study, and the authors classify Hybrid Simulation and its extensions to HSM approaches that combine simulation with other OR methods. The paper contributes to the debate on Hybrid Simulation by offering a unifying conceptual representation that blends simulation approaches with Hybrid Systems Modelling techniques.
Hybrid Simulation (HS) is the combined application of simulation approaches like SD, DES and ABS in the model implementation stage of a simulation study. Its objective is to better represent the system under scrutiny. Hybrid Systems Modelling (HSM), on the other hand, is the combined application of simulation with methods and techniques from disciplines such as Applied Computing, Computer Science, Engineering and the wider OR. HSM can be applied to multiple stages of a simulation study. In this paper, we present a classification of HS and extend it to include HSM approaches which use simulation with other OR techniques. The paper contributes to the debate on what constitutes HS and offers a unifying conceptual representation for mixing simulation approaches with HSM methods and techniques.
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