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Passenger level of service estimation model for queuing systems at the airport

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper presents a model for the management of passenger service operations at airports by the estimation of a global index of the level of service. This paper presents a new approach to the scheduling of resources required to perform passenger service operations at airports. The approach takes into account the index of level of service as a quantitative indicator that can be associated with airport revenues. Taking this index into account makes it possible to create an operating schedule of desks, adapted to the intensity of checking-in passengers, and, as such, to apply dynamic process management. This offers positive aspects, particularly the possibility of improvement of service quality that directly translates into profits generated by the non-aeronautical activity of airports. When talking about level of service, there can be distinguish other important indicators that are considered very often (eg maximum queuing time, space in square meters). In this model, however, they are considered as secondary. Of course, space in square meters is important when designing a system. Here this system is already built and functioning. The concept of the model is the use of a hybrid method: computer simulation (Monte Carlo simulation) with multiple regression. This paper focuses on the presentation of a mathematical model used to determine the level of service index that provides new functionality in the current simulation model, as presented in the authors’ previous scientific publications. The mathematical model is based on a multiple regression function, taking into account the significance of individual elementary operations of passenger service at an air terminal.
Rocznik
Strony
29--38
Opis fizyczny
Bibliogr. 21 poz., rys., wzory
Twórcy
  • Wroclaw University of Science and Technology, Faculty of Mechanical Engineering, Wroclaw, Poland
autor
  • Wroclaw University of Science and Technology, Faculty of Mechanical Engineering, Wroclaw, Poland
autor
  • Wroclaw University of Science and Technology, Faculty of Mechanical Engineering, Wroclaw, Poland
Bibliografia
  • [1] ANDERSON, R., CORREIAA, A.R., WIRASINGHE, S.C. DE BARROS, A.G., 2008. Overall level of service measures for airport passenger terminals. Transportation Research Part A: Policy and Practice, 42(2), 330-346.
  • [2] BEZERRA, G.C.L, GOMES, C.F., 2016. Measuring airport service quality: A multidimensional approach. Journal of Air Transport Management, 53(2016), 85-93.
  • [3] CAPSE, 2016. Airport service evaluation report, 2016.
  • [4] CAVES, R.E., PICKARD, C.D., 2000. The satisfaction of human needs in airport passenger terminals. Transport, 147(1), 9-15.
  • [5] CORREIA, A.R., WIRASINGHE, S.C., 2007, Development of level of service standards for airport facilities: Application to Sao Paulo International Airport. Journal of Air Transport Management, 13, 97–103.
  • [6] CORREIA, A.R., WIRASINGHE, S.C., DE BARROS A.G., 2008, Overall level of service measures for airport passenger terminals. Transportation Research Part A, 42, 330–346.
  • [7] DE BARROS, A.G., SOMASUNDARASWA-RAN, A.K., WIRASINGHE S.C., 2007. Evaluation of level of service for transfer passengers at airports. Journal of Air Transport Management, 13(5), 293–298.
  • [8] DKMA, 2014, Four steps to a great passenger experience (without rebuilding the terminal), DKMA.
  • [9] HONGWEI, J., YAHUA, Z., 2016. An investigation of service quality, customer satisfaction and loyalty in China's airline market. Journal of Air Transport Management, 57, 80-88.
  • [10] JACYNA-GOŁDA I., 2015. Decision-making model for supporting supply chain efficiency evaluation. Archives of Transport, 33(1), 17-31, DOI: 10.5604/08669546.1160923.
  • [11] JAFERNIK, H., SKLORZ, R. 2015. Initiatives to reduce fuel consumption and CO2 emissions during ground operations. Scientific Journal of Silesian University of Technology. Series Transport. 2015, 89, 47-55, DOI: 10.20858/sjsutst.2015.89.5.
  • [12] KHAN, S, FAISAL, M.N., 2008. An analytic network process model for municipal solid waste disposal options. Management Waste Management, 28(9), 1500-1509.
  • [13] KIERZKOWSKI, A., KISIEL, T., 2017. A model of check-in system management to reduce the security checkpoint variability. Simulation Modelling Practice and Theory, 74, 80-98.
  • [14] KIERZKOWSKI, A., KISIEL, T., 2017. Simulation model of security control system functioning: A case study of the Wroclaw Airport terminal. Journal of Air Transport Management Part B, 64, 173-185.
  • [15] KISIEL, T., VALIS, D., ZAK, L., 2013. Application of regression function - two areas for technical system operation assessment, Carpathian Logistics Congress, CLC' 2013: Cracow, Poland, December 9th-11th 2013, Tanger: 1-9.
  • [16] KOUCKY, M., VALIS, D., 2007. Reliability of sequential systems with a restricted number of renewals, Risk, Reliability and Societal Safety, Vols 1-3, Taylor & Francis: 1845-1849.
  • [17] MALARSKI, M., 2006. Inżynieria Ruchu Lotniczego, Oficyna Wydawnicza Politechniki Warszawskiej.
  • [18] MARTEL, N., SENEVIRATNE, P.N., 1990. Analysis of factors influencing quality of service in passenger terminal buildings. Transportation Research Record 1273, TRB, National Research Council, Washington, DC.
  • [19] SAATY, T., L., 1978. Exploring the interface between hierarchies, multiple objectives and fuzzy sets. Fuzzy Sets and Systems, 1(1), 57-68.
  • [20] VINTR, Z., VALIS, D., 2007. Modeling and Analysis of the Reliability of Systems with One-shot Items. 2007 Annual Reliability and Maintainability Symposium, Orlando: 380-385, doi: 10.1109/RAMS.2007.328106.
  • [21] ŻAK, J. 2004. Identification of the most important road transportation decision problems. Archives of Transport, 16(2), 89-109.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1b5736b9-5217-47c4-a664-897751aabeeb
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