Applications of Operations Research in the Air Transport Industry

References

• Abara J. Applying integer linear programming to the fleet assignment problem. Interfaces (1989) 19:20–28Link, Google Scholar
• Ageeva Y.Approaches to Incorporating Robustness into Airline Scheduling (2000) (MIT, Cambridge, MA) . ThesisGoogle Scholar
• Alstrup J., Boas S., Madsen O. B. G., Vidal R., Victor V. Booking policy for flights with two types of passengers. Eur. J. Oper. Res. (1986) 27:274–288Crossref, Google Scholar
• Anbil R., Gelman E., Patty B., Tanga R. Recent advances in crew-pairing optimization at American Airlines. Interfaces (1991) 21:62–74Link, Google Scholar
• Andreatta G., Odoni A. R., Richetta O., Bianco L., Odoni A. R. Models for the ground-holding problem. Large-Scale Computation and Information Processing in Air Traffic Control (1993) (Springer-Verlag, Berlin, Germany) Crossref, Google Scholar
• Arabeyre J. P., Fearnley J., Steiger F. C., Teather W. The airline crew scheduling problem: A survey. Transportation Sci. (1969) 3:140–163Link, Google Scholar
• Armacost A., Barnhart C., Ware K. Composite variable formulations for express shipment service network design. Transportation Sci. (2002) 36:1–20Link, Google Scholar
• Attwool V. W. Some mathematical aspects of air traffic systems. J. Instit. Navigation (1977) 30:394–411Crossref, Google Scholar
• Ball M. O., Futer A., Hoffman R., Sherry J. Rationing schemes for en route air traffic management. (2002) . CDM paper, http://www.metronaviation.com/cdm/cr/long_term.htmlGoogle Scholar
• Ball M. O., Hoffman R., Odoni A., Rifkin R. A stochastic integer program with dual network structure and its application to the ground-holding problem. Oper. Res. (2003) 51:167–171Link, Google Scholar
• Barnhart C., Farahat A., Lohatepanont M. Airline fleet assignment with enhanced revenue modeling: An alternative model and solution approach. (2002a) . Working paper, Operations Research Center, MIT, Cambridge, MAGoogle Scholar
• Barnhart C., Kniker T., Lohatepanont M. Itinerary-based airline fleet assignment. Transportation Sci. (2002b) 36:199–217Link, Google Scholar
• Barnhart C., Johnson E., Anbil R., Hatay L., Ciriano T., Leachman R. A column generation technique for the long-haul crew assignment problem. Optimization in Industry: Volume II (1994) (John Wiley and Sons, U.K) 7–22Google Scholar
• Barnhart C., Boland N., Clarke L., Johnson E., Nemhauser G., Shenoi R. Flight string models for aircraft fleeting and routing. Transportation Sci. (1998a) 32:208–220Link, Google Scholar
• Barnhart C., Lu F., Nemhauser G., Savelsbergh M., Vance P. Branch-and-price: Column generation for solving huge integer programs. Oper. Res. (1998b) 46:316–329Link, Google Scholar
• Barnhart C., Lu F., Shenoi R., Yu G. Integrated airline scheduling: Operations research in the air industry. International Series in Operations Research and Management Science (1998c) 9(Kluwer Academic Publishers, Norwell, MA) 384–403Google Scholar
• Barnhart C., Cohn A. M., Johnson E. L., Klabjan D., Nemhauser G. L., Vance P. H., Hall Randolph W. Airline crew scheduling. Handbook of Transportation Science (2003) 2nd ed(Kluwer Academic Publishers, Norwell, MA) Crossref, Google Scholar
• Belobaba P. P. Air travel demand and airline seat inventory management. (1987) . Ph.D. dissertation, MIT Flight Transportation Laboratory Report R87-7, Cambridge, MAGoogle Scholar
• Belobaba P. P. Application of a probabilistic decision model to airline seat inventory control. Oper. Res. (1989) 37:183–197Link, Google Scholar
• Belobaba P. P. The revenue enhancement potential of airline revenue management systems. ASTAIR Proc. Adv. Software Tech. Air Transport (1992a) London, U.KGoogle Scholar
• Belobaba P. P. Optimal vs. heuristic methods for nested seat allocation. AGIFORS Reservations Control Study Group Meeting (1992b) (Brussels, Belgium)Google Scholar
• Belobaba P. P. The evolution of airline yield management: Fare class to origin-destination seat inventory control. Handbook Airline Marketing (1998) (McGraw-Hill)285–302Google Scholar
• Belobaba P. P., Wilson J. L. Impacts of yield management in competitive airline markets. J. Air Transport Management (1997) 3:3–10Crossref, Google Scholar
• Berge M. Timetable optimization: Formulation, solution approaches, and computational issues. AGIFORS Proc. (1994) 341–357Google Scholar
• Bertsimas D., Stock S. The air traffic flow management problem with en route capacities. Oper. Res. (1998) 46:406–422Link, Google Scholar
• Bianco L., Dell 'Olmo P., Giordani S., Bianco L., Dell 'Olmo P., Odoni A. Coordination of traffic flows in the TMA. New Concepts and Methods in Air Traffic Management (2001) (Springer-Verlag, Berlin, Germany) Crossref, Google Scholar
• Blumstein A. The landing capacity of a runway. Oper. Res. (1959) 7:752–763Link, Google Scholar
• Bratu S. Network value concept in airline revenue management. (1998) (MIT, Cambridge, MA) . Master 's thesisGoogle Scholar
• Bratu S. Real time optimization models to recover aircraft schedules and minimize passenger disruptions. (2003) . Working Paper SB0301, Center for Transportation Logistics, MIT, Cambridge, MAGoogle Scholar
• Brumelle S. I., McGill J. I., Oum T. H., Sawaki K., Tretheway M. W. Allocation of airline seats between stochastically dependent demands. Transportation Sci. (1990) 24:183–192Link, Google Scholar
• Butchers E. R., Day P. R., Goldie A. P., Miller S., Meyer J. A., Ryan D. M., Scott A. C., Wallace C. A. Optimized crew scheduling at Air New Zealand. Interfaces (2001) 31:30–56Link, Google Scholar
• Cappanera P., Gallo G. On the airline crew rostering problem. (2001) . Technical Report TR-01-08, Department of Computer Science, University of Pisa, ItalyGoogle Scholar
• Caprara A., Toth P., Fischetti M., Vigo D. Modeling and solving the crew rostering problem. Oper. Res. (1998) 46:820–830Link, Google Scholar
• Chan Y. Route network improvement in air transportation schedule planning. (1972) . Technical Report R72-3, MIT Flight Transportation Laboratory, Cambridge, MAGoogle Scholar
• Chang K., Howard K., Oiesen R., Shisler L., Tanino M., Wambsganss M. C. Enhancements to the FAA ground-delay program under collaborative decision making. Interfaces (2001) 31:57–76Link, Google Scholar
• Chatwin R. E. Multi-period airline overbooking with multiple fare classes. Naval Res. Logist. (1996) 43:603–612Crossref, Google Scholar
• Chebalov S., Klabjan D. Robust crew scheduling: Move-up crews. INFORMS Annual Conf. (2001) Miami, FLGoogle Scholar
• Christou I. T., Zakarian A., Liu J., Carter H. A two-phase genetic algorithm for large-scale bidline-generation problems at Delta Air Lines. Interfaces (1999) 29:51–65Link, Google Scholar
• Clarke L., Hane C., Johnson E., Nemhauser G. Maintenance and crew considerations in fleet assignment. Transportation Sci. (1996a) 30:249–260Link, Google Scholar
• Clarke L., Johnson E., Nemhauser G., Zhu Z. The aircraft rotation problem. Ann. Oper. Res. (1996b) 69:33–46Crossref, Google Scholar
• Clarke M. Development of heuristic procedures for flight rescheduling in the aftermath of irregular airline operations. (1997) (MIT, Cambridge, MA) . Sc.D. dissertationGoogle Scholar
• Clarke M., Smith B. The impact of operations research on the evolution of the airline industry: A review of the airline planning process. (2000) . Research paper, Sabre Inc., Dallas, TXGoogle Scholar
• Cohn A., Barnhart C. Improving crew scheduling by incorporating key maintenance routing decisions. Oper. Res. (2003) 51:387–396Link, Google Scholar
• Collaborative Forum of Air Transport Stakeholders Flyer obtainable from Forum members. Fast Facts (2003) . (e.g., International Air Transportation Association, http://www.iata.org)Google Scholar
• Cook T. Creating competitive advantage using model-driven support systems. MIT Global Airline Indust. Study Distinguished Speaker Sem. Ser. (2000) (Cambridge, MA) Google Scholar
• Cordeau J., Stojkociv G., Soumis F., Desrosiers J. Benders decomposition for simultaneous aircraft routing and crew scheduling. (2000) . Technical Report G-2000-37, GERAD, École Polytechnique de Montréal, Quebec, CanadaGoogle Scholar
• Cote J. P., Marcotte P., Savard G. A bi-level modelling approach to pricing and fare optimisation in the airline industry. J. Revenue Pricing Management (2003) 2:23–36Crossref, Google Scholar
• Curry R. E. Optimum seat allocation with fare classes nested by origins and destinations. Transportation Sci. (1990) 24:193–204Link, Google Scholar
• Curry R. E. Forecasting for revenue management. (1994) (Technical brief, Scorecard, Aeronomics, Inc., Atlanta, GA) Google Scholar
• Daniel J. I. Congestion pricing and capacity of large hub airports: A bottleneck model with stochastic queues. Econometrica (1995) 63:327–370Crossref, Google Scholar
• Dawid H., Konig J., Strauss C. An enhanced rostering model for airline crews. Comput. Oper. Res. (2001) 28:671–688Crossref, Google Scholar
• Day P. R., Ryan D. M. Flight attendant rostering for shorthaul airline operations. Oper. Res. (1997) 45:649–661Link, Google Scholar
• Dear R. The dynamic scheduling of aircraft in the nearterminal area. (1976) . Ph.D. dissertation, Technical Report R76-9, Flight Transportation Laboratory, MIT, Cambridge, MAGoogle Scholar
• Dear R., Sherif Y. S. An algorithm for computer assisted sequencing and scheduling of terminal area operations. Transportation Res. (1991) 25A:129–139Crossref, Google Scholar
• de Boer S. V. Advances in airline revenue management and pricing. (2003) . Ph.D. dissertation, MIT, Cambridge, MAGoogle Scholar
• de Boer S. V., Freling R., Piersma N. Mathematical programming for network revenue management revisited. Eur. J. Oper. Res. (2002) 137:72–92Crossref, Google Scholar
• de Neufville R., Odoni A.Airport Systems: Planning, Design and Management (2003) (McGraw-Hill, New York) Google Scholar
• Desaulniers G., Desrosiers J., Gamache M., Soumis F., Crainic T., Laporte G. Crew scheduling in air transportation. Fleet Management and Logistics (1998) (Kluwer Academic Publishers, Norwell, MA) Crossref, Google Scholar
• Desaulniers G., Desrosiers J., Solomon M. M., Soumis F. Daily aircraft routing and scheduling. Management Sci. (1997) 43:841–855Link, Google Scholar
• Desrochers M., Soumis F. A generalized permanent labeling algorithm for the shortest path problem with time windows. INFOR (1988) 26:191–212Google Scholar
• Desrosiers J., Dumas Y., Desrochers M., Soumis F., Sanso B., Trudeau P. A breakthrough in airline crew scheduling. (1991) . Report G-91-11, GERAD, École Polytechique de Montréal, Quebec, CanadaGoogle Scholar
• Dror M., Trudeau P., Ladany S. P. Network models for seat allocation on flights. Transportation Res. (1988) 22B:239–250Crossref, Google Scholar
• Erdmann A., Nolte A., Noltemeier A., Schrader R. Modeling and solving the airline schedule generation problem. (1999) . Technical Report zpr99-351, ZAIK, University of Cologne, GermanyGoogle Scholar
• Erzberger H. Design principles and algorithms for automated air traffic management. (1995) . AGARD Lecture Series 200, Brussels, Belgium, http://www.ctas.arc.nasa.gov/Google Scholar
• Etschmaier M. M., Mathaisel D. F. X. Airline scheduling: The state of the art. AGIFORS Sympos. (1984) (Strasbourg, France)Google Scholar
• EUROCONTROL CAMACA: The commonly agreed methodology for airside capacity assessment. (2001) (Brussels, Belgium). http://www.eurocontrol.int/camaca/Google Scholar
• Fan T. P., Odoni A. R. A practical perspective on airport demand management. Air Traffic Control Quart. (2002) 10:285–306Crossref, Google Scholar
• Feng Y., Xiao B. A dynamic seat inventory control model and its optimal policy. Oper. Res. (2001) 49:938–949Link, Google Scholar
• Feo T. A., Bard J. F. Flight scheduling and maintenance base planning. Management Sci. (1989) 35:1415–1432Link, Google Scholar
• Ferguson A. R., Dantzig G. B. The problem of routing aircraft. Aeronautical Engrg. Rev. (1956a) 14Google Scholar
• Ferguson A. R., Dantzig G. B. The allocation of aircraft to routes—An example of linear programming under uncertain demand. Management Sci. (1956b) 3:45–73Link, Google Scholar
• Gallego G., van Ryzin G. A multi-product dynamic pricing problem and its applications to network yield management. Oper. Res. (1997) 45:24–41Link, Google Scholar
• Gamache M., Soumis F. A method for optimally solving the rostering problem. (1993) . Les Cahier du GERAD, G-90-40, École des Hautes Études Commerciales, Montréal, CanadaGoogle Scholar
• Gamache M., Soumis R., Villeneuve D., Desrosiers J., Gelinas E. The preferential bidding system at Air Canada. Transportation Sci. (1998) 32:246–255Link, Google Scholar
• Gershkoff I. Optimizing flight crew schedules. Interfaces (1989) 19:29–43Link, Google Scholar
• Gilbo E. P. Airport capacity: Representation, estimation, optimization. IEEE Trans. Control Systems Tech. (1993) 1:144–154Crossref, Google Scholar
• Glover F., Glover R., Lorenzo J., McMillan C. The passenger mix problem in the scheduled airlines. Interfaces (1982) 12:73–79Link, Google Scholar
• Gopalan R., Talluri K. The aircraft maintenance routing problem. Oper. Res. (1998) 46:260–271Link, Google Scholar
• Hall W. Information flows and dynamic collaborative decision-making architecture: Increasing the efficiency of terminal area operations. (1999) (Operations Research Center, MIT, Cambridge, MA) . Ph.D. dissertationGoogle Scholar
• Hane C. A., Barnhart C., Johnson E. L., Marsten R. E., Nemhauser G. L., Sigismondi G. The fleet assignment problem: Solving a large-scale integer program. Math. Programming (1995) 70:211–232Crossref, Google Scholar
• Hansen M. Micro-level analysis of airport delay externalities using deterministic queuing models: A case study. J. Air Transport Management (2002) 8:73–87Crossref, Google Scholar
• Hockaday S. L. M., Kanafani A. A methodology for airport capacity analysis. Transportation Res. (1972) 8:171–180Crossref, Google Scholar
• Hoffman K. L., Padberg M. Solving airline crew-scheduling problems by branch-and-cut. Management Sci. (1993) 39:657–682Link, Google Scholar
• Hoffman R., Ball M. O. A comparison of formulations for the single-airport ground holding problem with banking constraints. Oper. Res. (2000) 48:578–590Link, Google Scholar
• Hopperstad C. A.PODS: Modeling Update (1997) . AGIFORSY Yield Management Study Group, Montréal, Canada (May 14–16)Google Scholar
• Ingolfsson A., Akhmetshina E., Budge S., Li Y., Wu X. A survey and experimental comparison of service level approximation methods for non-stationary M/M/s queueing systems. (2002) . Working paper, Department of Finance and Management Science, University of Alberta, Edmonton, Alberta, CanadaGoogle Scholar
• Jacobs T. L., Johnson E. L., Smith B. C. O&D FAM: Incorporating passenger flows into the fleeting process. AGIFORS Sympos. (1999) (New Orleans, LA)Google Scholar
• Jarrah A., Yu G., Krishnamurthy N., Rakshit A. A decision support framework for airline flight cancellations and delays. Transportation Sci. (1993) 27:266–280Link, Google Scholar
• Kivestu P. Alternative methods of investigating the time-dependent M/G/K queue. (1976) (Department of Aeronautics and Astronautics, MIT, Cambridge, MA) . ThesisGoogle Scholar
• Klabjan D., Johnson E. L., Nemhauser G. L., Gelman E., Ramaswamy S. Solving large airline crew scheduling problems: Random pairing generation and strong branching. Computational Optimization and Algorithms (2001) 20:73–91Crossref, Google Scholar
• Klabjan D., Johnson E. L., Nemhauser G. L., Gelman E., Ramaswamy S. Airline crew scheduling with time windows and plane count constraints. Transportation Sci. (2002) 36:337–348Link, Google Scholar
• Kohl N., Karisch S. E. Airline crew rostering: Problem types, modeling, and optimization. (2003) . Carmen Research and Technology Report CRTR-2001-1, Goteborg, SwedenGoogle Scholar
• Koopman B. Air terminal queues under time-dependent conditions. Oper. Res. (1972) 20:1089–1114Link, Google Scholar
• Kuchar J. K., Yang L. C. A review of conflict detection and resolution modeling methods. IEEE Trans. Intelligent Transportation Systems (2000) 1:179–189Crossref, Google Scholar
• Lan S. Planning for robust airline operations: Optimizing aircraft routings and flight departure times to achieve minimum passenger disruptions. (2003) (MIT, Cambridge, MA) . Ph.D. dissertationGoogle Scholar
• Lavoie S., Minoux M., Odier E. A new approach for crew pairing problems by column generation with an application to air transportation. Eur. J. Oper. Res. (1988) 35:45–58Crossref, Google Scholar
• Lee A. O. Airline reservations forecasting: Probabilistic and statistical models of the booking process. (1990) . MIT Flight Transportation Laboratory Report R90-5, Cambridge, MAGoogle Scholar
• L 'Heureux E. A new twist in forecasting short-term passenger pickup. AGIFORS Sympos. Proc. (1986) 248–261Google Scholar
• Littlewood K. Forecasting and control of passenger bookings. AGIFORS Sympos. Proc. (1972) 95–117Google Scholar
• Lohatepanont M., Barnhart C. Airline schedule planning: Integrated models and algorithms for schedule design and fleet assignment. Transportation Sci. (2001) . ForthcomingGoogle Scholar
• Long D., Lee D., Johnson J., Gaier E., Kostiuk P. Modeling air traffic management technologies with a queuing network model of the National Airspace System. (1999) . Report NASA/CR-1999-208988, NASA Langley Research Center, Hampton, VAGoogle Scholar
• Malone K. Dynamic queuing systems: Behavior and approximations for individual queues and networks. (1995) (Operations Research Center, MIT, Cambridge, MA) . Ph.D. dissertationGoogle Scholar
• Marsten R. Crew planning at Delta Airlines. Math. Programming Sympos. XV Presentation (1994) Google Scholar
• Marsten R., Subramanian R., Gibbons L. Junior Analyst Extraordinaire (JANE): Route development at Delta Airlines. AGIFORS Sympos. (1996) (Atlanta, GA)Google Scholar
• McGill J. I., van Ryzin G. J. Revenue management: Research overview and prospects. Transportation Sci. (1999) 33:233–256Link, Google Scholar
• Odoni A. R., Drake A. W., Keeney R. L., Morse P. M. Efficient operation of runways. Analysis of Public Systems (1972) (MIT Press, Cambridge, MA) Google Scholar
• Odoni A. R., Odoni A. R., Szego G. The flow management problem in air traffic control. Flow Control of Congested Networks (1987) (Springer-Verlag, Berlin, Germany) Crossref, Google Scholar
• Odoni A. R., Deyst J., Feron E., Hansman R. J., Khan K., Kuchar J. K., Simpson R. Existing and required modeling capabilities for evaluating ATM systems and concepts. (1997) . International Center for Air Transportation, MIT, Cambridge, MA, http://web.mit.edu/aeroastro/www/labs/AATT/aatt.htmlGoogle Scholar
• Patty B., Gelman E., Tanga R., Anbil R. Recent advances in crew-pairing optimization at American Airlines. Interfaces (1991) 21:62–74Link, Google Scholar
• Peterson M. D., Bertsimas D., Odoni A. Models and algorithms for transient queuing congestion at hub airports. Management Sci. (1995) 41:1279–1295Link, Google Scholar
• Psaraftis H. N. A dynamic programming approach for sequencing groups of identical jobs. Oper. Res. (1980) 28:1347–1359Link, Google Scholar
• Pujet N., Delcaire B., Feron E. Input-output modeling and control of the departure process of congested airports. AIAA Guidance, Navigation Control Conf. (1999) Crossref, Google Scholar
• Rexing B., Barnhart C., Kniker T., Jarrah A., Krishnamurthy N. Airline fleet assignment with time windows. Transportation Sci. (2000) 34:1–20Link, Google Scholar
• Richetta O., Odoni A. R. Solving optimally the static ground-holding policy problem in air traffic control. Transportation Sci. (1993) 27:228–238Link, Google Scholar
• Rosenberger J., Johnson E., Nemhauser G. A robust fleet assignment model with hub isolation and short cycles. (2001a) . Working paper, Georgia Institute of Technology, Atlanta, GAGoogle Scholar
• Rosenberger J., Johnson E., Nemhauser G. Rerouting aircraft for airline recovery. (2001b) . Working paper, Georgia Institute of Technology, Atlanta, GAGoogle Scholar
• Rosenberger J., Schaefer A. J., Goldsman D., Johnson E. L., Kleywegt A. J., Nemhauser G. L. A stochastic model of airline operations. Transportation Sci. (2002) 36:357–377Link, Google Scholar
• Rothstein M. Stochastic models for airline booking policies. (1968) (Graduate School of Engineering and Science, New York University, New York) . Ph.D. thesisGoogle Scholar
• Rothstein M. An airline overbooking model. Transportation Sci. (1971) 5:180–192Link, Google Scholar
• Rothstein M. O.R. and the airline overbooking problem. Oper. Res. (1985) 33:237–248Link, Google Scholar
• Rushmeier R., Kontogiorgis S. Advances in the optimization of airline fleet assignment. Transportation Sci. (1997) 31:159–169Link, Google Scholar
• Ryan D. M. The solution of massive generalized set partitioning problems in air crew rostering. J. Oper. Res. Soc. (1992) 43:459–467Crossref, Google Scholar
• Ryan D. M., Foster B. A., Wren A. An integer programming approach to scheduling. Computer Scheduling of Public Transport Urban Passenger Vehicle and Crew Scheduling (1981) (North-Holland, Amsterdam, The Netherlands)Google Scholar
• Schaefer A., Johnson E., Kleywegt A., Nemhauser G. Airline crew scheduling under uncertainty. (2001) . Working paper, Georgia Institute of Technology, Atlanta, GAGoogle Scholar
• Simon J. An almost practical solution to airline overbooking. J. Transport Econom. Policy (1968) 2:201–202Google Scholar
• Simpson R. W. Computerized schedule construction for an airline transportation system. (1966) . MIT Flight Transportation Laboratory Report FT-66-3, Cambridge, MAGoogle Scholar
• Smith B. C., Leimkuhler J. F., Darrow R. M. Revenue management at American Airlines. Interfaces (1992a) 22:8–31Link, Google Scholar
• Smith B. C., Leimkuhler J. F., Darrow R. M. Yield management at American Airlines. Interfaces (1992b) 22:8–31Link, Google Scholar
• Soumis F., Ferland J. A., Rousseau J.-M. A model for large scale aircraft routing and scheduling problems. Transportation Res. (1980) 14B:191–201Crossref, Google Scholar
• Stamatopoulos M., Zografos K., Odoni A. A decision support system for airport strategic planning. Transportation Res. C. (2003) . ForthcomingGoogle Scholar
• Stojkovic G., Soumis F., Desrosiers J., Solomon M. An optimization model for a real-time flight scheduling problem. Transportation Res. (2002) 36A:779–788Google Scholar
• Swedish W.Upgraded FAA Airfield Capacity Model Supplemental User 's Guide (1981) . Reports MTR-81W16 and FAA-EM-81-1, The MITRE Corporation, McLean, VAGoogle Scholar
• Talluri K. The four-day aircraft maintenance routing problem. Transportation Sci. (1998) 32:43–53Link, Google Scholar
• Talluri K., van Ryzin G. A randomized linear programming method for computing network bid prices. Transportation Sci. (1999a) 33:207–216Link, Google Scholar
• Talluri K., van Ryzin G. An analysis of bid price controls for network revenue management. Management Sci. (1999b) 44:1577–1593Link, Google Scholar
• Thengvall B., Yu G., Bard J. Balancing user preferences for aircraft schedule recovery during irregular airline operations. IIE Trans. (2000) 32:181–193Crossref, Google Scholar
• Tosic V. A review of airport passenger terminal operations analysis and modeling. Transportation Res. (1992) 26A:3–26Google Scholar
• Vance P., Barnhart C., Johnson E., Nemhauser G. Airline crew scheduling: A new formulation and decomposition algorithm. Oper. Res. (1997) 45:188–200Link, Google Scholar
• Vickrey W. Airline overbooking: Some further solutions. J. Transport Econom. Policy (1972) 6:257–270Google Scholar
• Vossen T., Ball M. O. Optimization and mediated bartering models for ground delay programs. (2001) . Working paper, University of Maryland, College Park, MD, http://bmgt1-notes.umd.edu/faculty/km/papers.nsfGoogle Scholar
• Vossen T., Ball M. O., Hoffman R., Wambsganss M. A general approach to equity in air traffic management and its application to mitigating exemption bias in ground delay programs. Proc. 5th USA/Europe Air Traffic Management R&D Sem. (2003) . http://atm2003.eurocontrol.frGoogle Scholar
• Vranas P., Bertsimas D., Odoni A. R. The multi-airport ground-holding problem in air traffic control. Oper. Res. (1994) 42:249–261Link, Google Scholar
• Wambsganss M. Collaborative decision making through dynamic information transfer. Air Traffic Control Quart. (1996) 4:107–123Crossref, Google Scholar
• Weatherford L. R. Optimization of joint pricing and allocation in perishable asset revenue management problems with cross-elasticity. J. Combinatorial Optim. (1997) 1:277–304Crossref, Google Scholar
• Weatherford L. R., Bodily S. E. A taxonomy and research overview of perishable-asset revenue management: Yield management, overbooking and pricing. Oper. Res. (1992) 30:831–844Link, Google Scholar
• Williamson E. L. Airline network seat inventory control: Methodologies and revenue impacts. (1992) . Ph.D. dissertation, MIT Flight Transportation Laboratory Report R92-3, Cambridge, MAGoogle Scholar
• Wiper D. S., Quillinan J. D., Subramanian R., Scheff R. P., Marsten R. E. Coldstart: Fleet assignment at Delta Air Lines. Interfaces (1994) 24:104–120Link, Google Scholar
• Wollmer R. D. An airline seat management model for a single-leg route when lower fare classes book first. Oper. Res. (1992) 40:26–37Link, Google Scholar
• Yu G., Arguello M., Song G., McCowan S. M., White A. A new era for crew recovery at Continental Airlines. Interfaces (2003) 33:5–22Link, Google Scholar
• Zhao W., Zheng Y. S. A dynamic model for airline seat allocation with passenger diversion and no-shows. Transportation Sci. (2001) 35:80–98Link, Google Scholar