Results 161 to 170 of about 3,284 (194)
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Dynamic aircraft recovery problem - An operational decision support framework

Computers and Operations Research, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
B F Santos
exaly   +4 more sources

A large neighbourhood search heuristic for the aircraft and passenger recovery problem

4or, 2010
This paper introduces a large neighbourhood search heuristic for an airline recovery problem combining fleet assignment, aircraft routing and passenger assignment. Given an initial schedule, a list of disruptions, and a recovery period, the problem consists in constructing aircraft routes and passenger itineraries for the recovery period that allow the
Jean-François Cordeau   +2 more
exaly   +2 more sources

Improvements to a large neighborhood search heuristic for an integrated aircraft and passenger recovery problem

European Journal of Operational Research, 2014
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jean-François Cordeau   +1 more
exaly   +3 more sources

A Weight-Table Based Heuristic Algorithm for Aircraft Recovery Problem

2018 37th Chinese Control Conference (CCC), 2018
Severe weather conditions as typhoon and storm will cause disruptions, which have bad effect on original flight schedule. Hence, the original flight schedule must be revised to cope with these conditions. The normal recovery process mainly include aircraft recovery, crew recovery and passenger recovery.
Tong Zhao, Xiong Chen
exaly   +2 more sources

A column generation post-optimization heuristic for the integrated aircraft and passenger recovery problem

Computers and Operations Research, 2016
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Jean-François Cordeau   +1 more
exaly   +3 more sources

A two stage heuristic algorithm for the integrated aircraft and crew schedule recovery problems

Computers and Industrial Engineering, 2015
We propose a new heuristic algorithm for the integrated aircraft and crew schedule recovery problem.We propose a new model for the integrated aircraft and flight recovery problem.We propose a new model for the crew schedule recovery problem.Three sets of disruption scenarios are simulated to test algorithms performance.
Chuhang Yu
exaly   +4 more sources

A column generation-based heuristic for aircraft recovery problem with airport capacity constraints and maintenance flexibility

Transportation Research Part B: Methodological, 2018
Abstract We consider the aircraft recovery problem (ARP) with airport capacity constraints and maintenance flexibility. The problem is to re-schedule flights and re-assign aircraft in real time with minimized recovery cost for airlines after disruptions occur.
Zhe Liang, Xianfei Jin
exaly   +3 more sources

A Methodology Combining Optimization and Simulation for Real Applications of the Stochastic Aircraft Recovery Problem

2013 8th EUROSIM Congress on Modelling and Simulation, 2013
The Aircraft Recovery Problem appears when external events cause disruptions in a flight schedule. Thus in order to minimize the losses caused by the externalities, aircrafts must be reallocated (rescheduled) in the best possible way. The aim of this paper is to develop a suitable methodology that combines optimization techniques with a simulation ...
Daniel Guimarans
exaly   +2 more sources

Combinatorial Search Space Reduction Approach In Aircraft Schedule Recovery Problem

2023 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2023
Goutam Sen
exaly   +2 more sources

Hierarchical goal programming approaches to solve a discrete‐time formulation for the aircraft recovery problem of a Brazilian oil and gas company

International Transactions in Operational Research
AbstractWe address the aircraft recovery problem faced by a Brazilian oil and gas company during its offshore operations. This problem involves hiring helicopters from an outsourced company to transport personnel from an airport to maritime units. The performed flights are subject to disruptions and might require rescheduling.
Reinaldo Morabito
exaly   +2 more sources

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