Abstract
Airside operations at major commercial airports involve a complex interplay among parties with some competing and some collective interests. Air traffic controllers coordinate approaches to the airport, aircraft movements on the ground and departures from the airport. Operations personnel from individual airlines coordinate activities on the parking ramps and at passenger gates. Support from third parties is often used for catering, cleaning, refueling, de-icing and mechanical repairs. System performance is affected by the concentration of airlines’ flight schedules, resources allocated for gate operations, taxiway and ramp layouts, air traffic control procedures for aircraft on the ground and in the air, adverse weather conditions, traffic backups at major connecting hubs, etc. We present a conceptual framework and discrete-event simulation model for studying how changes in airport infrastructure, traffic intensity, ground resources and operating procedures can affect system performance and individual stakeholders.
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References
Allahverdi, A., Gupta, J.N.D., Aldowaisan, T.: A review of scheduling research involving setup considerations. Omega 27(2), 219–239 (1999)
Allahverdi, A., Ng, C.T., Cheng, T.C.E., Kovalyov, M.Y.: A survey of scheduling prob-lems with setup times or costs. European Journal of Operational Research 187(3), 985–1032 (2008)
Atkin, J.A.D., Burke, E.K., Greenwood, J.S., Reeson, D.: An examination of take-off scheduling constraints at London Heathrow airport. Public Transport 1(1), 169–187 (2009)
Atkin, J.A.D., Burke, E.K., Ravizza, S.: The airport ground movement problem: past and current research and future directions. In: 4th International Conference on Research in Air Transportation, Budapest, pp. 131–138 (2010)
Balas, E., Simonetti, N., Vazacopoulas, A.: Job shop scheduling with setup times, dead-lines and precedence constraints. Journal of Scheduling 11(4), 253–262 (2008)
Bazargan, M., Fleming, K., Subramanian, P.: A simulation study to investigate runway capacity using TAAM. In: Yücesan, E., Chen, C.-H., Snowdon, J.L., Charnes, J.M. (eds.) Proceedings of the 2002 Winter Simulation Conference, vol. 2, pp. 1235–1242. IEEE Press (2002)
Bertino, J., Boyajian, E.: 21st Century fast-time airport and airspace modeling analysis with Simmod. Managing the Skies, 21-23 (2011)
Brentnall, A.R., Cheng, R.C.H.: Some effects of aircraft arrival sequence algorithms. Journal of the Operational Research Society 60(7), 962–972 (2009)
Bubalo, B., Daduna, J.R.: Airport capacity and demand calculations by simulation – the case of Berlin-Brandenburg International Airport. Netnomics 12, 161–181 (2011)
Capozzi, B., Brinton, M., Churchill, A., Atkins, S.: The metroplex simulation environment. In: IEEE/AIAA 32nd Digital Avionics Systems Conference (DASC), pp. 1E5-1–IE5-14. IEEE Press, New York (2013)
Federal Aviation Administration: SIMMOD Reference Manual AOR-200, Office of Op-erations Research, Federal Aviation Administration, Washington, D.C (FAA) (1989), http://www.tc.faa.gov/acb300/how_simmod_works.pdf
Fishburn, P.T., Golkar, J., Taafe, K.: Simulation of transportation systems. In: Proceedings of the 1995 Winter Simulation Conference, pp. 51-54. IEEE Press (1995)
Gagné, C., Price, W.L., Gravel, M.: Comparing an ACO algorithm with other heuristics for the single machine scheduling problem with sequence-dependent setup times. Journal of the Operational Research Society 53(8), 895–906 (2002)
Gendreau, M., Laporte, G., Guimaraes, E.M.: A divide and merge heuristic for the multi-processor scheduling problem with sequence dependent setup times. European Journal of Operational Research 133(1), 183–189 (2001)
Gilbo, E.P.: Airport capacity – representation, estimation, optimization. IEEE Transactions on Control Systems Technology 1(3), 144–154 (1993)
Gotteland, J.B., Durand, N., Alliot, J.M., Page, E.: Aircraft ground traffic optimization. In: 4th USA/Europe Air Traffic Management Seminar, pp. 04–07 (2001)
Gue, K.R., Kang, K.: Staging queues in material handling and transportation systems. In: Peters, B.A., Smith, J.S., Medeiros, D.J., Rohrer, M.W. (eds.) Proceedings of the 2001 Winter Simulation Conference, vol. 2, pp. 1104–1108. IEEE Press (2001)
Guo, C., Zhibin, J., Zhang, H., Li, N.: Decomposition-based classified ant colony optimization algorithm for scheduling semiconductor wafer fabrication system. Computers & In-dustrial Engineering 62(1), 141–151 (2012)
Gupta, S.R., Smith, J.S.: Algorithms for single machine total tardiness scheduling with sequence dependent setups. European Journal of Operational Research 175(2), 722–739 (2006)
Herrero, J.G., Berlanga, A., Molina, J.M., Casar, J.R.: Methods for operations planning in airport decision support systems. Applied Intelligence 22(3), 183–206 (2005)
Horstmeier, T., de Haan, F.: Influence of ground handling on turn round time of new large aircraft. Aircraft Engineering and Aerospace Technology 73(3), 266–270 (2001)
Khadilkar, H., Balakrishnan, H.: Network congestion control of airport surface operations. Journal of Guidance, Control and Dynamics 37(3), 933–940 (2013)
Norin, A., Granberg, T.A., Varbrand, P., Yuan, D.: Integrating optimization and simula-tion to gain more efficient airport logistics. In: Eighth USA/Europe Air Traffic Management Research and Development Seminar (2009)
Odoni, A.R., Bowman, J., Delahaye, D., Deyst, J.J., Feron, E., Hansman, R.J., Khan, K., Kuchar, J.K., Pujet, N., Simpson, R.W.: Existing and required modeling capabilities for evaluating ATM systems and concepts, International Center for Air Transportation, Massachusetts Institute of Technology (1997)
Offerman, H.: Simulation to support the airport stakeholder decision-making process. Air and Space Europe 3(1/2), 60–67 (2001)
Ravizza, S., Chen, J., Atkin, J.A.D., Burke, E.K., Stewart, P.: The trade-off between taxi time and fuel consumption in airport ground movement. Public Transport 4(1-2), 25–40 (2013)
Sherali, H.D., Hobeika, A.G., Trani, A.A., Kim, B.J.: An integrated simulation and dynamic programming approach for determining optimal runway exit locations. Management Science 38(7), 1049–1049 (1992)
Smith, L.D., Nauss, R.M., Mattfeld, D.C., Li, J., Ehmke, J.F.: Scheduling operations at system choke points with sequence-dependent delays and processing times. Transportation Research Part E 47(5), 669–691 (2011)
Snowdon, J.L., MacNair, E., Montevecchi, M., Callery, C.A., El-Taji, S., Miller, S.: IBM journey management library: An Arena system for airport simulations. Journal of the Operational Research Society 51(4), 449–456 (2000)
Wei, G., Siyuan, J.: Simulation study on closely spaced parallel runway analysis using SIMMOD Plus. In: 2010 International Conference on Intelligent Computation Technology and Automation, pp. 344–347. IEEE Press (2010)
Yan, S., Shieh, C., Chen, M.: A simulation framework for evaluating airport gate assignments. Transportation Research Part A 36(10), 885–898 (2002)
Zografos, K.G., Madas, M.A.: Development and demonstration for an integrated decision support system for airport performance analysis. Transportation Research Part C 14(1), 1–17 (2006)
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Smith, L.D., Ehmke, J.F., Mattfeld, D.C., Waning, R., Hellmann, L. (2014). Strategic Decision Support for Airside Operations at Commercial Airports. In: González-Ramírez, R.G., Schulte, F., Voß, S., Ceroni Díaz, J.A. (eds) Computational Logistics. ICCL 2014. Lecture Notes in Computer Science, vol 8760. Springer, Cham. https://doi.org/10.1007/978-3-319-11421-7_9
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DOI: https://doi.org/10.1007/978-3-319-11421-7_9
Publisher Name: Springer, Cham
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