Creating a flexible, simulation-based finite scheduling tool
Proceedings of the 29th conference on Winter simulation
Solving engine maintenance capacity problems with simulation
Proceedings of the 29th conference on Winter simulation
Adaptive stochastic manpower scheduling
Proceedings of the 30th conference on Winter simulation
Proceedings of the 30th conference on Winter simulation
Proactive flight schedule evaluation at Delta Air Lines
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Simulation based operational analysis of future space transportation systems
Proceedings of the 32nd conference on Winter simulation
A capacity planning tool for the tuxedo middleware used in transaction processing systems
Proceedings of the 33nd conference on Winter simulation
Automation in modeling: using automation for finishing room capacity planning
Proceedings of the 33nd conference on Winter simulation
Simulation with Arena
Proceedings of the 34th conference on Winter simulation: exploring new frontiers
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This study presents a simulation model for the aircraft maintenance operation at AirTran's maintenance station in Hartsfield-Jackson International Airport in Atlanta. The model involves various characteristics and behaviors of aircraft maintenance system, including gate assignment and its effects on the required number of mechanics, unscheduled aircraft maintenance, scheduled Remain Over-night (RON) maintenance, and the constraints affecting resource availability, ground time, and spare parts. Optimization modules of the simulation software generate an optimum shift schedule of mechanics increasing the existing system's efficiency, and the optimum number of new mechanics to match the increased workload in the future. The model can be used as a tool for understanding resource requirements on a daily basis and for developing efficient manpower staffing models, which can guarantee that a sufficient number of mechanics with approximate qualifications are always available. Its purpose is, therefore, to secure a complete match between workload and the available workforce.