Information-efficient design of an automatic aircraft maintenance supervisor
Computers and Operations Research
Elements of ML programming
Coloured Petri nets: basic concepts, analysis methods and practical use, volume 3
Coloured Petri nets: basic concepts, analysis methods and practical use, volume 3
Combat Vehicle Reliability Assessment Simulation Model (CVRASM)
WSC '91 Proceedings of the 23rd conference on Winter simulation
Scalable integration model for objective resource capability evaluations (SIM-FORCE)
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Simulation with Arena
Simulation modelling for a bus maintenance facility
WSC '04 Proceedings of the 36th conference on Winter simulation
Coloured Petri Nets and CPN Tools for modelling and validation of concurrent systems
International Journal on Software Tools for Technology Transfer (STTT)
Modelling defence logistics networks
International Journal on Software Tools for Technology Transfer (STTT)
Model-based development of a course of action scheduling tool
International Journal on Software Tools for Technology Transfer (STTT)
RAMS '06 Proceedings of the RAMS '06. Annual Reliability and Maintainability Symposium, 2006.
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In a military deployment, the operational availability of deployed equipment will be affected by many factors including equipment usage rates, sparing policy, and importantly the composition and distribution of maintenance personnel. In this paper, we present a Coloured Petri Net model that captures the potentially complex defence logistics maintenance process that links these factors together. We simulate this model with the CPN Tools simulator and identify a number of simulation performance concerns related to the incorporation of personnel in the model. A number of alternative models of personnel are evaluated in an attempt to attain a level of simulation performance from CPN Tools that is acceptable for business reviews and headquarter operations planning. Finally, we present some directions for future investigation to improve simulation performance further.