Academic literature on the topic 'Airline Scheduling Problem'

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Journal articles on the topic "Airline Scheduling Problem"

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Lagos, Carlos, Felipe Delgado, and Mathias A. Klapp. "Dynamic Optimization for Airline Maintenance Operations." Transportation Science 54, no. 4 (2020): 998–1015. http://dx.doi.org/10.1287/trsc.2020.0984.

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The occurrence of unexpected aircraft maintenance tasks can produce expensive changes in an airline’s operation. When it comes to critical tasks, it might even cancel programmed flights. Despite this, the challenge of scheduling aircraft maintenance operations under uncertainty has received limited attention in the scientific literature. We study a dynamic airline maintenance scheduling problem, which daily decides the set of aircraft to maintain and the set of pending tasks to execute in each aircraft. The objective is to minimize the expected costs of expired maintenance tasks over the opera
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Klincewicz, John G., and Moshe B. Rosenwein. "The Airline Exception Scheduling Problem." Transportation Science 29, no. 1 (1995): 4–16. http://dx.doi.org/10.1287/trsc.29.1.4.

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Lagerholm, Martin, Carsten Peterson, and Bo Söderberg. "Airline Crew Scheduling with Potts Neurons." Neural Computation 9, no. 7 (1997): 1589–99. http://dx.doi.org/10.1162/neco.1997.9.7.1589.

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A Potts feedback neural network approach for finding good solutions to resource allocation problems with a nonfixed topology is presented. As a target application, the airline crew scheduling problem is chosen. The topological complication is handled by means of a propagator defined in terms of Potts neurons. The approach is tested on artificial random problems tuned to resemble real-world conditions. Very good results are obtained for a variety of problem sizes. The computer time demand for the approach only grows like (number of flights)3. A realistic problem typically is solved within minut
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Wu, Meng Li, Lu Yao Li, and Bin Chen. "Optimization Research of the Aircraft Deicing Problem." Advanced Materials Research 616-618 (December 2012): 1926–29. http://dx.doi.org/10.4028/www.scientific.net/amr.616-618.1926.

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The theory of aircraft ground deicing processes is studied in this paper. Aiming at the civil aviation airport with a number of parking bays, a model considering multiple constraints is presented. According to the first come first service scheduling, simulation is carried out to get the relationship between the quantity of flights and the delay time, based on the flight plan data of Beijing Capital International Airport. Then, taking into account the cooperation of the airports with airlines, besides the competition between airline companies, priority comparison method is proposed to optimize
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Stojković, Mirela, François Soumis, and Jacques Desrosiers. "The Operational Airline Crew Scheduling Problem." Transportation Science 32, no. 3 (1998): 232–45. http://dx.doi.org/10.1287/trsc.32.3.232.

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Milutinović, Lena Đorđević, Dragana Makajić-Nikolić, Slobodan Antić, Marija Živić, and Andrej Lisec. "CONTROL MODEL FOR GROUND CREW SCHEDULING PROBLEM AT SMALL AIRPORTS: CASE OF SERBIA." Transport 36, no. 3 (2021): 235–45. http://dx.doi.org/10.3846/transport.2021.15369.

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Present-day airline industry is quite a competitive field and crew scheduling represents one of the crucial problems due to significant impact on the airline’s cost. The crew scheduling problem is based on the assignment of crew members to operate different tasks of route. The main goal of this paper is to provide an analysis and a solution to one of the biggest problems detected on a small airport in the Serbia - the problem of ground crew scheduling. The paper presents the main characteristics, goals and limitations of a real-life problem identified at this small airport. In order to solve t
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Shiau, Jiun-Yan, Ming-Kung Huang, and Chu-Yi Huang. "A Hybrid Personnel Scheduling Model for Staff Rostering Problems." Mathematics 8, no. 10 (2020): 1702. http://dx.doi.org/10.3390/math8101702.

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The problem of staff scheduling in the airline industry is extensively investigated in operational research studies because efficient staff employment can drastically reduce the operational costs of airline companies. Considering the flight schedule of an airline company, staff scheduling is the process of assigning all necessary staff members in such a way that the airline can operate all its flights and construct a roster line for each employee while minimizing the corresponding overall costs for the personnel. This research uses a rostering case study of the ground staff in the aviation ind
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Temucin, Tolga, Gulfem Tuzkaya, and Ozalp Vayvay. "Aircraft Maintenance Routing Problem – A Literature Survey." Promet - Traffic&Transportation 33, no. 4 (2021): 491–503. http://dx.doi.org/10.7307/ptt.v33i4.3793.

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The airline industry has shown significant growth in the last decade according to some indicators such as annual average growth in global air traffic passenger demand and growth rate in the global air transport fleet. This inevitable progress makes the airline industry challenging and forces airline companies to produce a range of solutions that increase consumer loyalty to the brand. These solutions to reduce the high costs encountered in airline operations, prevent delays in planned departure times, improve service quality, or reduce environmental impacts can be diversified according to the
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KARAOGLAN, Aslan Deniz, Demet GONEN, and Emine UCMUS. "Aircraft Routing and Scheduling: a Case Study in an Airline Company." An International Journal of Optimization and Control: Theories & Applications (IJOCTA) 1, no. 1 (2011): 27–43. http://dx.doi.org/10.11121/ijocta.01.2011.0041.

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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 sc
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Yin, Kai, Gang Yin, and Hong Tao Xu. "Study of Airport Ground Services Scheduling Problem in Airline Industry." Applied Mechanics and Materials 198-199 (September 2012): 1447–51. http://dx.doi.org/10.4028/www.scientific.net/amm.198-199.1447.

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In this paper, we lay primary emphasis on the scheduling problem of airport ground service in airline industry, aiming at searching for scientific scheduling method of airport resources and providing a basic operational design scheme to optimize and solve the schedule problem of airport ground service operation intelligently. According to ECS rules, operation structure is optimized and the defect of ECS rules was remedied in this paper.
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Dissertations / Theses on the topic "Airline Scheduling Problem"

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Paek, Gwan-Ho. "Contributions to the solution of the crew scheduling problem." Thesis, Imperial College London, 1992. http://hdl.handle.net/10044/1/8887.

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Qian, Fei. "Scheduling problems for fractional airlines." Diss., Georgia Institute of Technology, 2010. http://hdl.handle.net/1853/39641.

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A column generation based approach is proposed to solve scheduling problems for fractional airlines efficiently and return near optimal schedules. Crew tours are building blocks of our approach, and our approach is focused on exploring more feasible tours than other approaches. In particular, all elements of a crew tour are optimized during the preparation and tour generation procedures. Moreover, time windows of customer-requested flights are handled exactly, and generalized to time window and crew time window of duties and tours. Furthermore, time windows of tours are contained in the MIP fo
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Staats, Raymond William. "An Airspace Planning and Collaborative Decision Making Model Under Safety, Workload, and Equity Considerations." Diss., Virginia Tech, 2003. http://hdl.handle.net/10919/26844.

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We develop a detailed, large-scale, airspace planning and collaborative decision-making model (APCDM), that is part of an $11.5B, 10-year, Federal Aviation Administration (FAA)-sponsored effort to increase U.S. National Airspace (NAS) capacity by 30 percent. Given a set of flights that must be scheduled during some planning horizon, we use a mixed-integer programming formulation to select a set of flight plans from among alternatives subject to flight safety, air traffic control workload, and airline equity constraints. Novel contributions of this research include three-dimensional probabili
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Qiu, Shengli. "Airline crew pairing optimization problems and capacitated vehicle routing problems." Diss., Georgia Institute of Technology, 2012. http://hdl.handle.net/1853/51717.

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Crew pairing and vehicle routing are combinatorial optimization problems that have been studied for many years by researchers worldwide. The aim of this research work is to investigate effective methods for solving large scale crew pairing problems and vehicle routing problems. In the airline industry, to address the complex nature of crew pairing problems, we propose a duty tree method followed by a primal-dual subproblem simplex method. The duty tree approach captures the constraints that apply to crew pairings and generate candidate pairings taking advantage of various proposed strategies.
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Williams, Mark J. (Mark John). "Column generation approaches to the military airlift scheduling problem." Thesis, Massachusetts Institute of Technology, 2014. http://hdl.handle.net/1721.1/91297.

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Thesis: S.M., Massachusetts Institute of Technology, Sloan School of Management, Operations Research Center, 2014.<br>This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.<br>36<br>"June 2014." Cataloged from student-submitted PDF version of thesis.<br>Includes bibliographical references (pages 95-97).<br>In this thesis, we develop methods to address airlift scheduling, and in particular the problem of scheduling military aircraft capacity to meet ad hoc demand. Network optimization methods typically a
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Shaw, Tina L. "Hybrid column generation for large network routing problems : with implementations in airline crew scheduling." Diss., Georgia Institute of Technology, 2003. http://hdl.handle.net/1853/25023.

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Gomes, Wagner de Paula. "Modelagem integrada do problema de programação de tripulantes de aeronaves." Universidade de São Paulo, 2014. http://www.teses.usp.br/teses/disponiveis/3/3138/tde-25112014-143703/.

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Esta pesquisa trata o Problema de Programação de Tripulantes (PPT), presente no planejamento operacional das empresas aéreas. O principal objetivo do PPT é atribuir o conjunto de tripulantes requeridos para a operação dos voos de uma malha aérea de maneira a minimizar o custo total da tripulação, levando em conta a legislação pertinente e a satisfação dos tripulantes. O PPT é normalmente dividido na literatura em dois subproblemas independentes, modelados e resolvidos sequencialmente: Problema de Determinação de Viagens (PDV) e Problema de Atribuição de Escalas (PAE). Esta decomposição não inc
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Martins, Francisco José. "Uma abordagem para a solução de problemas de rotações de tripulações para empresas aéreas utilizando busca tabu e janelas de tempo." Universidade do Vale do Rio do Sinos, 2007. http://www.repositorio.jesuita.org.br/handle/UNISINOS/2253.

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Made available in DSpace on 2015-03-05T13:59:42Z (GMT). No. of bitstreams: 0 Previous issue date: 27<br>Nenhuma<br>As escalas de tripulações em companhias aéreas é um fator importante na logística de operações dessas empresas e um problema interessante para a aplicação de Pesquisa operacional. Os custos com tripulantes no transporte aéreo são extremamente altos, superiores a 20% dos custos de operações das empresas. Diante desse contexto, este trabalho vem abordar o problema de rotações de tripulações em empresas aéreas. Uma rotação de tripulação – crew pairings – é uma seqüência de etapas
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I-TingLin and 林依婷. "The Airline Ground Staff Scheduling Problem." Thesis, 2017. http://ndltd.ncl.edu.tw/handle/9frnt6.

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Fang, Hsu-Wen, and 方昫雯. "An Airline Crew Scheduling Problem Considering Fairness and Empirical Costs." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/7na6g7.

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碩士<br>國立交通大學<br>運輸與物流管理學系<br>106<br>In recent years, airlines have been devoting more resources in cabin crew scheduling because of a rising awareness of fair working time. Airline crew scheduling problem was often decomposed into two sub-problems-crew pairing problem and crew rostering problem, however, there should be an opportunity to reduce the cost by integrating both problem. Therefore, we propose an integer programming model and an algorithm to solve sub-problems simultaneously. The objective is to achieve minimum total scheduling cost, including flight cost, deadhead, hoteling cost and
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Book chapters on the topic "Airline Scheduling Problem"

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Tajima, Akira, and Shinji Misono. "Airline crew-scheduling problem with many irregular flights." In Algorithms and Computation. Springer Berlin Heidelberg, 1997. http://dx.doi.org/10.1007/3-540-63890-3_2.

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Kotecha, Ketan, Gopi Sanghani, and Nilesh Gambhava. "Genetic Algorithm for Airline Crew Scheduling Problem Using Cost-Based Uniform Crossover." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-30176-9_11.

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Suhl, Uwe H., and Leena M. Suhl. "Solving Airline-fleet Scheduling Problems with Mixed-integer Programming." In Operational Research in Industry. Palgrave Macmillan UK, 1999. http://dx.doi.org/10.1057/9780230372924_7.

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Johnson, Ellis L., Tina L. Shaw, and Rebecca L. Ho. "Modeling Tools for Airline-crew Scheduling and Fleet-assignment Problems." In Operational Research in Industry. Palgrave Macmillan UK, 1999. http://dx.doi.org/10.1057/9780230372924_1.

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Marchiori, Elena, and Adri Steenbeek. "An Evolutionary Algorithm for Large Scale Set Covering Problems with Application to Airline Crew Scheduling." In Real-World Applications of Evolutionary Computing. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/3-540-45561-2_36.

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"The Schedule Adjustment Problem." In Airline Network Planning and Scheduling. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119275909.ch14.

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"Examples on the Schedule Adjustment Problem." In Airline Network Planning and Scheduling. John Wiley & Sons, Inc., 2018. http://dx.doi.org/10.1002/9781119275909.ch15.

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Sahin, Mehmet Anil, and Gulfem Tuzkaya. "Operations Research Problems for Airline Industry." In Handbook of Research on Emergent Applications of Optimization Algorithms. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-2990-3.ch007.

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Maintenance routing is one of the most complicated problems of operations research applications for airline industry. In this study, airline industry operations' main applications and subjects are basically mentioned and literature is briefly reviewed. This study is conducted under the headings of; Fleet Assignment, Aircraft Routing, Maintenance Routing and Crew Scheduling. Additionally, network models are explained basically on an example flight program. This study's purpose is to be a guide for the new researchers of this area through operations research applications for airline industry and to introduce maintenance routing problem literature.
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Sahin, Mehmet Anil, and Gulfem Tuzkaya. "Operations Research Problems for Airline Industry." In Research Anthology on Reliability and Safety in Aviation Systems, Spacecraft, and Air Transport. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5357-2.ch064.

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Maintenance routing is one of the most complicated problems of operations research applications for airline industry. In this study, airline industry operations' main applications and subjects are basically mentioned and literature is briefly reviewed. This study is conducted under the headings of; Fleet Assignment, Aircraft Routing, Maintenance Routing and Crew Scheduling. Additionally, network models are explained basically on an example flight program. This study's purpose is to be a guide for the new researchers of this area through operations research applications for airline industry and to introduce maintenance routing problem literature.
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"Crew Scheduling Problems." In Airline Operations Research. Routledge, 2017. http://dx.doi.org/10.4324/9781315211848-4.

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Conference papers on the topic "Airline Scheduling Problem"

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Ezzinbi, Omar, Malek Sarhani, Abdellatif El Afia, and Youssef Benadada. "Particle swarm optimization algorithm for solving airline crew scheduling problem." In 2014 International Conference on Logistics and Operations Management (GOL). IEEE, 2014. http://dx.doi.org/10.1109/gol.2014.6887447.

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Iijima, Yu, and Tatsushi Nishi. "Column generation heuristics to airline crew scheduling problem for fair working time." In 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC). IEEE, 2016. http://dx.doi.org/10.1109/smc.2016.7844729.

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Arayikanon, K., and P. Chutima. "Solving cockpit crew scheduling problem of a low-cost airline using metaheuristics." In THE 6TH INTERNATIONAL CONFERENCE ON MANUFACTURING, OPTIMIZATION, INDUSTRIAL AND MATERIAL ENGINEERING : MOIME18. Author(s), 2018. http://dx.doi.org/10.1063/1.5080055.

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Iijima, Y., T. Nishi, M. Inuiguchi, S. Takahashi, K. Ueda, and K. Ojima. "Modeling and solution of practical airline crew scheduling problems." In 2013 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2013. http://dx.doi.org/10.1109/ieem.2013.6962386.

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Lo, Chih-Chung, and Guang-Feng Deng. "Using Ant Colony Optimization Algorithm to Solve Airline Crew Scheduling Problems." In Third International Conference on Natural Computation (ICNC 2007). IEEE, 2007. http://dx.doi.org/10.1109/icnc.2007.797.

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Sasaki, Daiki, and Tatsushi Nishi. "Combinatorial auction algorithm with price-adjustment mechanism for airline crew scheduling problems." In 2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2015. http://dx.doi.org/10.1109/ieem.2015.7385834.

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Gang, Hao, Feng Meiling, Zhao Hainan, and Sun Junqing. "Research on green vehicle scheduling problem of free picking up and delivering customers for airlines ticketing company." In 2016 Chinese Control and Decision Conference (CCDC). IEEE, 2016. http://dx.doi.org/10.1109/ccdc.2016.7532111.

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