Discrete-event simulation for the design and evaluation of physical protection systems
Proceedings of the 30th conference on Winter simulation
Effective simulation model reuse: a case study for AMHS modeling
Proceedings of the 30th conference on Winter simulation
Washington Dulles International Airport passenger conveyance study
Proceedings of the 30th conference on Winter simulation
Observations on the complexity of composable simulation
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 1
Distributed real-time simulation for intruder detection system analysis
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Analysis and simulation of passenger flows in an airport terminal
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
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
Simulation of check-in at airports
Proceedings of the 33nd conference on Winter simulation
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
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Simulation studies often fail to provide any useful result due to its success being highly dependent on the skills of the analyst to understand a system and then correctly identify all the required data parameters and dependent variables. This paper describes a template-based framework to help identify and specify the components and data parameters for developing models of physical security systems. The layered framework consists of 15 templates built on top of 14 data primitives representing 119 data parameters. The modeling framework has been programmed as an internet-based web application and is simulation language-independent. The usefulness of the framework was tested and shown to have a significant impact on improving the identification of system components and their associated data parameters.