Abstract
The article presents a simulation model serving for the planning of resources (number of desks) that are necessary for the execution of the check-in process at the airport terminal. The elaborated model may be applied at any airport using conventional desks for the check-in process. We present a stochastic model that presents the degree of schedule adjustment for the fulfillment of the level of service assumptions according to the IATA standards as output data. A combination of quantitative and qualitative methods in the check-in process modeling, taking into consideration a stochastic character of the process, has not been fully considered yet. A simulation model uses the Monte-Carlo method, basing on the universal characteristics of passenger reports to the check-in with a division of the traditional, low-cost, and charter passengers. The simulation model obtains information on the degree of schedule adjustment for check-in desks to the C level of the service category according to the IATA standards. The application of the simulation model may be applied in the management of the check-in process in order to avoid an overestimation or underestimation of the service work desks schedules.
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Kierzkowski, A., Kisiel, T., Pawlak, M. (2019). Simulation Model of Check-in Management Regarding the IATA Level of Service Standards. In: Kabashkin, I., Yatskiv (Jackiva), I., Prentkovskis, O. (eds) Reliability and Statistics in Transportation and Communication. RelStat 2018. Lecture Notes in Networks and Systems, vol 68. Springer, Cham. https://doi.org/10.1007/978-3-030-12450-2_14
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