Abstract
A major problem faced by every airline is to construct a daily schedule for a heterogeneous aircraft fleet. In the present paper implementation of aircraft routing and scheduling for cargo transportation, known as one of the scheduling problem in transportation, in an air-line is presented. First, problems faced by the company are defined and then implementation steps and expected improvements that will result from carrying out the solution of mathematical model of the problem are given in detail. The purpose of this paper is to describe, analyze and evaluate a case study of how an aircraft scheduling was managed in an air-line.
Highlights
Much research by the air industry as well as academics has already been devoted to fleet routing and flight scheduling problems
Yan and Chen (2007, 2008) employed network flow techniques to construct coordinated scheduling models for passenger and cargo transportation, respectively [7, 8]. These models are formulated as mixed integer multiple commodity network flow problems with side constraints (NFPWS) that are characterized as NP-hard
We present a case study on fleet assignment problem (FAP) for cargo carrying at an airline
Summary
Much research by the air industry as well as academics has already been devoted to fleet routing and flight scheduling problems. Yan and Chen (2008) develop an integrated scheduling model that combines passenger, cargo and combi flight scheduling [6] They employ network flow techniques to construct the model which is formulated as an integer multiple commodity network flow problem that is characterized as NP-hard. Yan and Chen (2007, 2008) employed network flow techniques to construct coordinated scheduling models for passenger and cargo transportation, respectively [7, 8] These models are formulated as mixed integer multiple commodity network flow problems with side constraints (NFPWS) that are characterized as NP-hard. The daily aircraft routing and scheduling problem can be formulated as follows; given a heterogeneous aircraft fleet, a collection of flight legs that have to be flown in a one-day period with departure time windows, durations, and cost/revenues corresponding to the aircraft type for each leg, a fleet schedule has to be generated that maximizes the airline’s profits [10].
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More From: An International Journal of Optimization and Control: Theories & Applications (IJOCTA)
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