The fleet assignment model assigns a fleet of aircraft types to the scheduled flight legs in an airline timetable published six to twelve weeks prior to the departure of the aircraft. The objective is to maximize prof...
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The fleet assignment model assigns a fleet of aircraft types to the scheduled flight legs in an airline timetable published six to twelve weeks prior to the departure of the aircraft. The objective is to maximize profit. While costs associated with assigning a particular fleet type to a leg are easy to estimate, the revenues are based upon demand, which is realized close to departure. The uncertainty in demand makes it challenging to assign the right type of aircraft to each flight leg based on forecasts taken six to twelve weeks prior to departure. Therefore, in this paper, a two-stage stochastic programming framework has been developed to model the uncertainty in demand, along with the Boeing concept of demand driven dispatch to reallocate aircraft closer to the departure of the aircraft. Traditionally, two-stage stochastic programming problems are solved using the L-shaped method. Due to the slow convergence of the L-shaped method, a novel multivariate adaptive regression splines cutting plane method has been developed. The results obtained from our approach are compared to that of the L-shaped method, and the value of demand-driven dispatch is estimated. Crown Copyright (C) 2011 Published by Elsevier B.V. All rights reserved.
This paper presents a model for planning an air charter service for pre-scheduled group travel. This model is used to investigate the competitiveness of such an enterprise for student athlete travel in conference spor...
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This paper presents a model for planning an air charter service for pre-scheduled group travel. This model is used to investigate the competitiveness of such an enterprise for student athlete travel in conference sports. The relevant demand subset to be served by a limited charter fleet is identified through a comparison with existing scheduled travel options. Further, the routing and scheduling of the charter aircraft is performed within the same framework. Through this modeling a method for formulating and accommodating continuous time windows and competitive market dynamics in strategic planning for a charter service is developed. Computational improvements to the basic model are also presented and tested. The model is applied to the Big Sky Conference for the 2006-2007 season, quantifying the benefits to the students from such a service and the change in expenditure associated with such a benefit for various assumptions about operations and value of time. The findings indicate the lack of spatial or sport based patterns for maximizing benefit, indicating the absence of simplistic "rules of thumb" for operating such a service, and validating the need for the model. (C) 2010 Elsevier Ltd. All rights reserved.
To provide the decision-making basis for operating unprofitable flights linked to small and medium-sized airports and decrease the risk of subsidy pricing resulting from the stochastic characteristics of passengers...
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ISBN:
(纸本)9781450366045
To provide the decision-making basis for operating unprofitable flights linked to small and medium-sized airports and decrease the risk of subsidy pricing resulting from the stochastic characteristics of passengers' demands. This paper presented a method of constructing the stochastic scenario set of passengers' demands, and then it established a pricing mathematical model of flight operation subsidy based on the space-and-time network with the objective of risk neutral principle. A numerical example with an airline's real operational data is computed and analyzed. The results show the advantage and validation of our proposed model.
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