Avoiding the blues for airline travelers
Proceedings of the 30th conference on Winter simulation
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
Air transportation simulation: SimAir: a stochastic model of airline operations
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 35th conference on Winter simulation: driving innovation
A Building Block Approach to Simulation: An Evaluation Using Containers Adrift
Simulation and Gaming
Requirements for domain specific discrete event simulation environments
WSC '05 Proceedings of the 37th conference on Winter simulation
Collaborative Business Engineering: A Decade of Lessons from the Field
Journal of Management Information Systems
Simulation of passenger check-in at a medium-sized US airport
Proceedings of the 39th conference on Winter simulation: 40 years! The best is yet to come
Conceptual simulation modeling: the structure of domain specific simulation environment
Proceedings of the 40th Conference on Winter Simulation
Management of check-in at the Naples port terminal by DES logic
ICOSSSE'10 Proceedings of the 9th WSEAS international conference on System science and simulation in engineering
A discrete event simulation to model passenger flow in the airport terminal
MMACTEE'09 Proceedings of the 11th WSEAS international conference on Mathematical methods and computational techniques in electrical engineering
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Airports are an ideal application area for simulation. The processes are in a continuous state of change, are complex and stochastic, involve many moving objects, and require a good performance that can be measured in several different performance indicators. Within airports, but also between airports, the same kind of questions are answered over and over again. Often, however, new simulation models are built for each question, if possible copying some parts of previous models. Structured reuse of simulation components is rarely seen. This paper shows an approach for airport terminal modeling that departs from the assumption that reusable simulation building blocks can form the core of a powerful airport modeling tool, which is able to answer different questions at airports better and faster than traditional models. The building blocks have been implemented in the commercially available simulation language eM-Plant. Several studies carried out with this library were very successful.