A specification language to assist in analysis of discrete event simulation models
Communications of the ACM
Multifacetted modelling and discrete event simulation
Multifacetted modelling and discrete event simulation
A taxonomy of model abstraction techniques
WSC '95 Proceedings of the 27th conference on Winter simulation
Simulation should be easy and fun!
WSC '93 Proceedings of the 25th conference on Winter simulation
Guidelines for simulation project success
WSC '93 Proceedings of the 25th conference on Winter simulation
Hierarchical relation in simulation models
WSC '93 Proceedings of the 25th conference on Winter simulation
Five simple principle of modelling
WSC '96 Proceedings of the 28th conference on Winter simulation
A forum on crucial issues in the simulation of manufacturing systems
WSC '93 Proceedings of the 25th conference on Winter simulation
The control and transformation metric: toward the measurement of simulation model complexity
WSC '87 Proceedings of the 19th conference on Winter simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Scaling, hierarchical modeling, and reuse in an object-oriented modeling and simulation system
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Strategic directions in simulation research (panel)
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Theory of Modelling and Simulation
Theory of Modelling and Simulation
Introduction to Simulation Using SIMAN
Introduction to Simulation Using SIMAN
Complexity of Simulation Models: a Graph Theoretic Approach
INFORMS Journal on Computing
SS '98 Proceedings of the The 31st Annual Simulation Symposium
Choosing the best model: Level of detail, complexity, and model performance
Mathematical and Computer Modelling: An International Journal
Supply chain applications II: development of a high-level supply chain simulation model
Proceedings of the 33nd conference on Winter simulation
Conceptual modeling for simulation: issues and research requirements
Proceedings of the 38th conference on Winter simulation
An appropriateness framework for the Dutch Meuse decision support system
Environmental Modelling & Software
Interconnected DES models of emergency, outpatient, and inpatient departments of a hospital
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Simulation in business and industry: how simulation context can affect simulation practice?
SpringSim '07 Proceedings of the 2007 spring simulation multiconference - Volume 3
Conceptual modelling: knowledge acquisition and model abstraction
Proceedings of the 40th Conference on Winter Simulation
Experience in the broadening of a single-purpose simulation model
Proceedings of the 40th Conference on Winter Simulation
Proceedings of the 40th Conference on Winter Simulation
Hierarchical modeling for computational biology
SFM'08 Proceedings of the Formal methods for the design of computer, communication, and software systems 8th international conference on Formal methods for computational systems biology
Conceptual modeling of petascale computer systems
IIT'09 Proceedings of the 6th international conference on Innovations in information technology
A Blend of Planning and Learning: Simplifying a Simulation Model of National Development
Simulation and Gaming
Controlled simplification of material flow simulation models
Winter Simulation Conference
System of systems complexity: modeling and simulation issues
Proceedings of the 2008 Summer Computer Simulation Conference
Choosing what to model - conceptual modeling for simulation
Proceedings of the Winter Simulation Conference
Choosing the right model: conceptual modeling for simulation
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
Expert Systems with Applications: An International Journal
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Nowadays the size and complexity of models is growing more and more, forcing modelers to face some problems that they were not accustomed to. Before trying to study ways to deal with complex models, a more important and primary question to explore is, is there any means to avoid the generation of complex models? The primary purpose of this paper is to discuss several issues regarding the complexity of simulation models, summarizing the findings in this area so far, and calling attention to this area that, despite its importance, appears to remain at the bottom of simulation research agendas.