Skip to main content

Strategic Decision Support for Airside Operations at Commercial Airports

  • Conference paper
Book cover Computational Logistics (ICCL 2014)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 8760))

Included in the following conference series:

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.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 34.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Allahverdi, A., Gupta, J.N.D., Aldowaisan, T.: A review of scheduling research involving setup considerations. Omega 27(2), 219–239 (1999)

    Article  Google Scholar 

  2. 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)

    Article  MathSciNet  MATH  Google Scholar 

  3. 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)

    Article  Google Scholar 

  4. 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)

    Google Scholar 

  5. 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)

    Article  MathSciNet  MATH  Google Scholar 

  6. 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)

    Google Scholar 

  7. Bertino, J., Boyajian, E.: 21st Century fast-time airport and airspace modeling analysis with Simmod. Managing the Skies, 21-23 (2011)

    Google Scholar 

  8. 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)

    Article  MATH  Google Scholar 

  9. Bubalo, B., Daduna, J.R.: Airport capacity and demand calculations by simulation – the case of Berlin-Brandenburg International Airport. Netnomics 12, 161–181 (2011)

    Article  Google Scholar 

  10. 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)

    Google Scholar 

  11. 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

  12. 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)

    Google Scholar 

  13. 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)

    Article  MATH  Google Scholar 

  14. 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)

    Article  MathSciNet  MATH  Google Scholar 

  15. Gilbo, E.P.: Airport capacity – representation, estimation, optimization. IEEE Transactions on Control Systems Technology 1(3), 144–154 (1993)

    Article  Google Scholar 

  16. 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)

    Google Scholar 

  17. 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)

    Google Scholar 

  18. 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)

    Article  Google Scholar 

  19. 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)

    Article  MATH  Google Scholar 

  20. 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)

    Article  Google Scholar 

  21. 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)

    Article  Google Scholar 

  22. Khadilkar, H., Balakrishnan, H.: Network congestion control of airport surface operations. Journal of Guidance, Control and Dynamics 37(3), 933–940 (2013)

    Article  Google Scholar 

  23. 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)

    Google Scholar 

  24. 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)

    Google Scholar 

  25. Offerman, H.: Simulation to support the airport stakeholder decision-making process. Air and Space Europe 3(1/2), 60–67 (2001)

    Article  Google Scholar 

  26. 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)

    Article  Google Scholar 

  27. 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)

    Article  MATH  Google Scholar 

  28. 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)

    Article  Google Scholar 

  29. 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)

    Article  MATH  Google Scholar 

  30. 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)

    Google Scholar 

  31. Yan, S., Shieh, C., Chen, M.: A simulation framework for evaluating airport gate assignments. Transportation Research Part A 36(10), 885–898 (2002)

    Google Scholar 

  32. 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)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

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

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-11421-7_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11420-0

  • Online ISBN: 978-3-319-11421-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics