Fleeting with Passenger and Cargo Origin-Destination Booking Control

Authors:
Rivi Sandhu;Diego Klabjan
Affiliations:
Department of Mechanical and Industrial Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801;Department of Mechanical and Industrial Engineering, University of Illinois at Urbana-Champaign, Urbana, Illinois 61801
Venue:
Transportation Science
Year:
2006

Citing 6
Cited 3

The fleet assignment problem: solving a large-scale integer program

Mathematical Programming: Series A and B
SYNOPSE: a model-based decision support system for the evaluation of flight schedules for cargo airlines

Decision Support Systems
Branch-And-Price: Column Generation for Solving Huge Integer Programs

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Revenue Management: Research Overview and Prospects

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Itinerary-Based Airline Fleet Assignment

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Airline Fleet Assignment with Enhanced Revenue Modeling

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Optimal Baggage-Limit Policy: Airline Passenger and Cargo Allocation

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Network Cargo Capacity Management

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Cargo Capacity Management with Allotments and Spot Market Demand

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Abstract

In tactical planning of an airline, fleeting or capacity planning is the process of assigning an equipment type to each flight. The existing fleeting models take into account only passenger flow while completely ignoring cargo traffic. We propose a fleeting model that captures both passenger and cargo revenue. In addition, the model integrates fleeting and a bid price based origin-destination (O-D) revenue management approach. We use Benders decomposition to solve the model. We give extensive computational experiments on data obtained by a major carrier.