Effective simulation model reuse: a case study for AMHS modeling
Proceedings of the 30th conference on Winter simulation
Proceedings of the 32nd conference on Winter simulation
Simulation in a box: a generic reusable maintenance model
Proceedings of the 32nd conference on Winter simulation
Automatic generation of simulation models from neutral libraries: an example
Proceedings of the 32nd conference on Winter simulation
Model composability: formulating a research thrust: composable simulations
Proceedings of the 32nd conference on Winter simulation
Model composability as a research investment: responses to the featured paper
Proceedings of the 32nd conference on Winter simulation
An integrated estimation and modeling environment for the design of the orbital space plane
WSC '04 Proceedings of the 36th conference on Winter simulation
A template-based conceptual modeling infrastructure for simulation of physical security systems
WSC '04 Proceedings of the 36th conference on Winter simulation
A template-based data specification framework for modeling physical security systems
Computers and Industrial Engineering
Supply chain simulation modeling made easy: an innovative approach
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Quantifying requirements volatility effects
Science of Computer Programming
Rapid deployment of simulation models for building construction applications
Winter Simulation Conference
Generation of an adaptive simulation driven by product trajectories
Journal of Intelligent Manufacturing
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Analyzing systems by means of simulation is necessarily a time consuming process. This becomes even more pronounced when models of multiple systems must be compared. In general, and even more so in today's fast-paced environment, competitive pressure does not allow for waiting on the results of a lengthy analysis. That competitive pressure also makes it more imperative that the processing performance of systems be seriously considered in the system design. Having a generic model allows one model to be applied to multiple systems in a given domain and provides a feedback mechanism to systems designers as to the operational impact of design decisions.