A simulation model to study the dynamics in a service-oriented supply chain
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
System dynamics modelling in supply chain management: research review
Proceedings of the 32nd conference on Winter simulation
Business Dynamics
Modeling people flow: online simulation of pedestrian flow in public buildings
Proceedings of the 35th conference on Winter simulation: driving innovation
Simulation Modeling and Analysis with Expertfit Software
Simulation Modeling and Analysis with Expertfit Software
Inside discrete-event simulation software: how it works and why it matters
Proceedings of the 40th Conference on Winter Simulation
Discrete rate simulation using linear programming
Proceedings of the 40th Conference on Winter Simulation
ExtendSim advanced techology: discrete rate simulation
Winter Simulation Conference
Controlled simplification of material flow simulation models
Winter Simulation Conference
Adaptive flow control in flexible flow shop production systems: a knowledge-based approach
Winter Simulation Conference
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Simulation models are important for planing, implementing and operating logistics systems since they can depict their dynamic system behavior. In the field of logistics, discrete-event models are widely used. Their creation and computation is often very time and labor consuming. For this reason, the paper presents a new mesoscopic modeling and simulation approach to quickly and effectively execute analysis and planning tasks related to production and logistics systems. Mesoscopic models represent logistics flow processes on an aggregated level through piecewise constant flow rates instead of modeling individual flow objects. The results are not obtained by counting individual objects but by using mathematical formulas to calculate the results as continuous quantities in every modeling time step. This leads to a fast model creation and computation. In terms of level of detail, mesoscopic simulation models fall between object based discrete-event simulation models and flow based continuous simulation models.