DYNAMIC BOOKING POLICY FOR AIRLINE SEAT INVENTORY CONTROL

Kristine Rozite, Nicholas A. Nechval, Konstantin N. Nechval, Edgars K. Vasermanis

2004

Abstract

A dynamic booking policy for multiple fare classes that share the same seating pool on one leg of an airline flight, when seats are booked in a nested fashion and when lower fare classes book before higher ones, is determined. The dynamic policy of airline booking makes repetitive use of an optimal static policy over the booking period, based on the most recent demand and capacity information. It allows one to allocate seats dynamically and anticipatory over time.

References

  1. Brumelle, S.L. and McGill, J.I., 1993. Airline seat allocation with multiple nested fare classes. Operations Research, 41, 127-137.
  2. Curry, R.E., 1990. Optimal airline seat allocation with fare classes nested by origins and destinations. Transportation Science, 24, 193-203.
  3. Huang, C.C., Erickson, L.G. and Wellek, R.M., 1970. Sufficiency conditions for constrained optima”, Management Science, 16, 762-763.
  4. Littlewood, K., 1972. Forecasting and control of passenger bookings. In: Proceedings of the 12th AGIFORS Symposium, American Airlines, New York, 95-117.
  5. Nechval, N.A., 1982. Modern Statistical Methods of Operations Research. Riga: RCAEI.
  6. Nechval, N.A., 1984. Theory and Methods of Adaptive Control of Stochastic Processes. Riga: RCAEI.
  7. Nechval, N.A., Nechval, K.N., Vasermanis, E.K. and Moldovan, M., 2002. Optimization of airline seat inventory control system for a single leg route. In: Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2002), Vol. XII, Orlando, USA, Paper 498EN, 6 pages.
  8. Nechval, N.A., Nechval, K.N. and Vasermanis, E.K., 2002. Optimal control of airline booking process. In: E.F. Camacho, L. Basáñez, J.A. de la Puente (Eds.), Preprints of the 15th Triennial World Congress of the International Federation of Automatic Control, Barcelona, Spain, Paper 1692, 6 pages.
  9. Richter, H., 1982. The differential revenue method to determine optimal seat allotments by fare type. In: Proceedings of the XXII AGIFORS Symposium, 339- 362.
  10. Robinson, L.W., 1995. Optimal and approximate control policies for airline booking with sequential nonmonotonic fare classes. Operations Research, 43, 252-263.
  11. Wollmer, R.D., 1992. An airline seat management model for a single leg route when lower fare classes book first. Operations Research, 40, 26-37.
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Paper Citation


in Harvard Style

Rozite K., A. Nechval N., N. Nechval K. and K. Vasermanis E. (2004). DYNAMIC BOOKING POLICY FOR AIRLINE SEAT INVENTORY CONTROL . In Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 972-8865-12-0, pages 314-317. DOI: 10.5220/0001133003140317


in Bibtex Style

@conference{icinco04,
author={Kristine Rozite and Nicholas A. Nechval and Konstantin N. Nechval and Edgars K. Vasermanis},
title={DYNAMIC BOOKING POLICY FOR AIRLINE SEAT INVENTORY CONTROL},
booktitle={Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2004},
pages={314-317},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001133003140317},
isbn={972-8865-12-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the First International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - DYNAMIC BOOKING POLICY FOR AIRLINE SEAT INVENTORY CONTROL
SN - 972-8865-12-0
AU - Rozite K.
AU - A. Nechval N.
AU - N. Nechval K.
AU - K. Vasermanis E.
PY - 2004
SP - 314
EP - 317
DO - 10.5220/0001133003140317