Dynamic Allocation of Airline Check-In Counters: A Queueing Optimization Approach

References

• Aéroport International Strasbourg Concession from the chamber of commerce and industry of Strasbourg and the Lower Rhine: Practical user guide. (2006) . Accessed July 26, 2007, http://www.strasbourg.aeroport.fr/pdf/tarifs/tarifs_aero_2006_GB.pdfGoogle Scholar
• Basawa I. V., Prakasa Rao B. L. S.Statistical Inference for Stochastic Processes (1980) (Academic Press, London) Google Scholar
• Bhat U. N.Elements of Applied Stochastic Processes (1984) 2nd ed.(John Wiley, New York) Google Scholar
• Bitauld P., Burch K., El-Taji S., Fanucchi E., Montevecchi M., Ohlsson J., Palella A., Rushmeier R., Snowdon J. Journey management. OR/MS Today (1997) 24(5):30–33Google Scholar
• Chun H. W. Solving check-in counter constraints with ILOG SOLVER. Proc. 1st ILOG Solver and ILOG Schedule Internat. Users Meeting (1995) Abbaye des Vaux de Cernay, FranceGoogle Scholar
• Chun H. W., Mak W. T. R. Intelligent resource simulation for an airport check-in counter allocation system. IEEE Trans. Systems, Man and Cybernatics—Part C: Appl. Rev. (1999) 29(3):325–335Crossref, Google Scholar
• European Organization for the Safety of Air Navigation Standard inputs for Eurocontrol cost benefit analyses. (2005) . Accessed July 27, 2007, http://www.eurocontrol.int/eatm/gallery/content/public/library/CBA-standard-values.pdfGoogle Scholar
• Federal Aviation Administration Treatment of values of passenger time in economic analysis. (2003) . Technical report, APO Bulletin APO-03-1, U.S. Department of Transportation, Washington, D.C.Google Scholar
• Feller W.An Introduction to Probability Theory and Its Applications (1968) 3rd ed.(John Wiley, New York) Google Scholar
• Hadidi N. On the service time distribution and the waiting time process of a potentially infinite capacity queueing system. J. Appl. Probab. (1969) 6:594–603Crossref, Google Scholar
• Hadidi N., Conolly B. W. On the improvement of the operational characteristics of single server queues by the use of a queue length dependent service mechanism. Appl. Statist. (1969) 18(3):229–240Crossref, Google Scholar
• Haeme R. A., Huttinger J. L., Shore R. W., Abrams M., Haigh P., Comfort J. Airline performance modeling to support schedule development: An application case study. Proc. 1988 Winter Simulation Conf. (1988) (AIEE, San Diego) 800–806Crossref, Google Scholar
• Keiding N. Maximum likelihood estimation in the birth-death process. Ann. Statist. (1975) 3:363–372Crossref, Google Scholar
• Koltai T., Kalló N. Quantitative analysis of waiting time in express lines at cash desks. 5th ANZAM Oper. Management Sympos. (2007) Melbourne, Australia:1–12Google Scholar
• Lee A. M.Applied Queueing Theory (1966) (MacMillan, London) Crossref, Google Scholar
• Littler R. A., Whitaker D. A. Estimating staffing requirements at an airport terminal. J. Oper. Res. Soc. (1997) 48(2):124–131Crossref, Google Scholar
• Neuts M. F.Matrix-Geometric Solutions in Stochastic Models: An Algorithmic Approach (1981) (Dover, New York) Google Scholar
• Park Y., Ahn S. B. Optimal assignment for check-in counters based on passenger arrival behaviour at an airport. Transportation Planning Tech. (2003) 26(5):397–416Crossref, Google Scholar
• Shavell Z. A. The effect of schedule disruption on the economics of airline operations. 3rd USA/Europe Air Traffic Management R&D Seminar (2000) (MITRE Corporation, Napoli) Google Scholar
• Smith P. Barriers to marginal social cost pricing in the air transport sector—A guide for the non-economist. (2004) . Accessed July 27, 2007, http://www.imprint-eu.org/public/Papers/IMPRINT%20final_phil%20smith.docGoogle Scholar
• van Dijk N. M., van der Sluis E. Check-in computation and optimization by simulation and IP in combination. Eur. J. Oper. Res. (2006) 171:1152–1168Crossref, Google Scholar
• Yan S., Tang C. H., Chen M. A model and a solution algorithm for airport common use check-in counter assignments. Trans. Res. Part A (2004) 38:101–125Google Scholar