A taxonomy of model abstraction techniques
WSC '95 Proceedings of the 27th conference on Winter simulation
Complexity of simulation models: a graph theoretic approach
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
On simulation model complexity
Proceedings of the 32nd conference on Winter simulation
Proceedings of the 32nd conference on Winter simulation
Theory of Modeling and Simulation
Theory of Modeling and Simulation
Reduced discrete-event simulation models for medium-term production scheduling
Systems Analysis Modelling Simulation
Using dynamic multiresolution modelling to analyze large material flow systems
WSC '04 Proceedings of the 36th conference on Winter simulation
A discrete event simulation model simplification technique
WSC '05 Proceedings of the 37th conference on Winter simulation
Improved simple simulation models for semiconductor wafer factories
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
A mesoscopic approach to modeling and simulation of logistics processes
Proceedings of the Winter Simulation Conference
Proceedings of the Winter Simulation Conference
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In this paper a method for controlled simplification is presented, which is able to create simplified models with specific properties concerning complexity and behavioral deviation automatically. The method requires a finite set of model component classes, of which instances a user-defined model can be created. Two techniques for simplification are used: aggregation, where a large set of components is substituted by a small set, and omission, where components are deleted without compensation. A set of simplification rules concerning the simplification techniques, the component classes and the model structures line and parallel line are defined. These rules are used by a simplification algorithm, which is embedded in a control loop of complexity measurement and behavior measurement.