Simulation Modeling and Analysis
Simulation Modeling and Analysis
Systems Modelling: Theory and Practice
Systems Modelling: Theory and Practice
Simulation: The Practice of Model Development and Use
Simulation: The Practice of Model Development and Use
The simulation project life-cycle: models and realities
Proceedings of the 38th conference on Winter simulation
Information models for queueing system simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Three critical challenges for modeling and simulation in healthcare
Winter Simulation Conference
Implementation issues of modeling healthcare problems: misconceptions and lessons
Winter Simulation Conference
From data to simulation models: component-based model generation with a data-driven approach
Proceedings of the Winter Simulation Conference
Estimating the implementation time for discrete-event simulation model building
Proceedings of the Winter Simulation Conference
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Developments in simulation methodology have been so successful that simulation methods are used in many different domains, and many of these applications are based on discrete event simulation. Though many regard simulation modelling as an art, it ought to be possible to provide guidelines for the development of successful simulation applications. It is clear, though, that such guidelines must reflect the diversity of applications. We explore that diversity and comment on its effects.