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Relevant bibliographies by topics / Airline crew

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Journal articles
Dissertations / Theses
Books
Book chapters
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Academic literature on the topic 'Airline crew'

Author: Grafiati

Published: 4 June 2021

Last updated: 6 February 2022

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Journal articles on the topic "Airline crew"

1

Graf, Vojtech, Dusan Teichmann, Jiri Horinka, and Michal Dorda. "Dynamic Model for Scheduling Crew Shifts." Mathematical Problems in Engineering 2020 (May 30, 2020): 1–12. http://dx.doi.org/10.1155/2020/5372567.

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In regular as well as nonscheduled air transport, extraordinary situations occasionally occur, which may fundamentally disrupt the flight schedule. Fundamental disruptions of flight schedules affect not only passengers but also the airline. One of the areas that are negatively affected by the disruption is the crew plan. Due to extraordinary events, it happens that a flight is delayed, and the crew will not be at the destination airport at the prescribed time and the airline will not be able to assign it on further flights according to the original plan. Such situations can be resolved either

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Lettovský, Ladislav, Ellis L. Johnson, and George L. Nemhauser. "Airline Crew Recovery." Transportation Science 34, no. 4 (2000): 337–48. http://dx.doi.org/10.1287/trsc.34.4.337.12316.

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Shebalov, Sergey, and Diego Klabjan. "Robust Airline Crew Pairing: Move-up Crews." Transportation Science 40, no. 3 (2006): 300–312. http://dx.doi.org/10.1287/trsc.1050.0131.

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PALIL, MOHD RIZAL, LOKHMAN HAKIM OSMAN, MARA RIDHUAN CHE ABDUL RAHMAN, et al. "FLIGHT CREW FATIGUE AND THE EFFECT ON AIRLINE BUSINESS." Jurnal Bisnis dan Akuntansi 23, no. 1 (2021): 157–64. http://dx.doi.org/10.34208/jba.v23i1.1028.

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The paper discusses previous studies on the effect of fatigue among flight crews and their effect on airline businesses. Fatigue is a major concern in flight operations as many reports were issued on this problem among flight crew. The long flight duration requires them to travel several time zones, which leads to fatigue. Furthermore, the change of time zones could also lead to the occurrence of jet lag and subsequently causes fatigue too. Fatigue can occur during and after the travelling period, and it takes a while to recover from it. This study aims to observe the effects of fatigue experi

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Yan, Shangyao, and Jei-Chi Chang. "Airline cockpit crew scheduling." European Journal of Operational Research 136, no. 3 (2002): 501–11. http://dx.doi.org/10.1016/s0377-2217(01)00060-1.

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Albayat, Soha Shawqi, Suresh B. Kokku, Hamad Eid Al-Romaihi, Devendra Bansal, Hayat Salahaldin Khogali, and Elmoubasher Farag. "Assessment of cabin crew awareness about malaria in a major airline." Mediterranean Journal of Hematology and Infectious Diseases 11, no. 1 (2019): e2019049. http://dx.doi.org/10.4084/mjhid.2019.049.

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Background  Malaria is a global public health problem across Africa, Asia and Americas. In the recent past, a dramatic increase in global air travel networks and connectivity contributed to increased risk of contracting malaria. Airline cabin crew travelling to malaria high-risk countries are at increased risk of contracting the disease. Awareness plays an important role in prevention of malaria among the crew by having high degree of knowledge of disease and adhering to the protective measures advised. In this study we aimed to evaluate the knowledge about malaria, risk assessment, prev

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Blumenfeld, Warren S. "Appropriateness of Readability of a Federal Aviation Agency Regulation, a Flight Crew Manual, and a Company-Pilot Labor Agreement for an Airline's Pilots." Perceptual and Motor Skills 61, no. 3_suppl (1985): 1189–90. http://dx.doi.org/10.2466/pms.1985.61.3f.1189.

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Appropriate readability of a Federal Aviation Agency regulation, an airline flight crew manual, and a company-pilot labor agreement for an airline's pilots was examined. Analyses of FOG readability indices did not confirm appropriateness of regulation or agreement for pilots ( too difficult); however, analyses did confirm appropriateness of crew manual for pilots (essentially equal level).

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Chen, Reuben Yong Soon, Kashif Hussain, and Chris Kam Loong Low. "Perception and preferences of hiring managers." Worldwide Hospitality and Tourism Themes 12, no. 2 (2020): 165–74. http://dx.doi.org/10.1108/whatt-12-2019-0080.

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Purpose This study aims to explore the perception and preferences of hiring managers toward employing airline cabin crew for management positions in food and beverage outlets. Design/methodology/approach A phenomenological approach is adopted for this study purposefully selecting food and beverage hiring managers and airline cabin crews. Findings The study concludes that with customized and effective re-training, food and beverage hiring managers are willing to employ airline cabin crews to assume managerial positions. Originality/value This study outlines the practicalities of re-training ind

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Schaefer, Andrew J., Ellis L. Johnson, Anton J. Kleywegt, and George L. Nemhauser. "Airline Crew Scheduling Under Uncertainty." Transportation Science 39, no. 3 (2005): 340–48. http://dx.doi.org/10.1287/trsc.1040.0091.

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Klabjan, Diego, Ellis L. Johnson, George L. Nemhauser, Eric Gelman, and Srini Ramaswamy. "Airline Crew Scheduling with Regularity." Transportation Science 35, no. 4 (2001): 359–74. http://dx.doi.org/10.1287/trsc.35.4.359.10437.

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Dissertations / Theses on the topic "Airline crew"

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Nissen, Rüdiger. "Airline crew rescheduling /." Aachen : Shaker, 2004. http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&doc_number=015625305&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA.

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Schaefer, Andrew James. "Airline crew scheduling under uncertainty." Diss., Georgia Institute of Technology, 2000. http://hdl.handle.net/1853/25121.

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Nissen, Rüdiger [Verfasser]. "Airline Crew Rescheduling / Rüdiger Nissen." Aachen : Shaker, 2004. http://d-nb.info/1170534201/34.

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Bayliss, Christopher. "Airline reserve crew scheduling under uncertainty." Thesis, University of Nottingham, 2016. http://eprints.nottingham.ac.uk/33054/.

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This thesis addresses the problem of airline reserve crew scheduling under crew absence and journey time uncertainty. This work is primarily concerned with the allocation of reserve crew to standby duty periods. The times at which reserve crew are on duty, determine which possible crew absence or delay disruptions they can be used to absorb. When scheduling reserve crew, the goal is to minimise the expected levels of delay and cancellation disruptions that occur on the day of operation. This work introduces detailed probabilistic models of the occurrence of crew absence and delay disruptions a

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Tam, Man Bao Bassy. "Optimisation approaches for robust airline crew scheduling." Thesis, University of Auckland, 2011. http://hdl.handle.net/2292/18724.

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To use aircrew members efficiently and economically airlines are required to solve many optimisation problems. One of these is the crew pairing problem or Tour-of-Duty planning problem. In the crew pairing problem, each flight in a pre-determined flight schedule has a fixed origin, destination, scheduled time of departure and arrival. The scheduled flights have to be combined into pairings or Tours-of-Duty (ToDs) that a single crew member can operate. The pairings have to respect contract and legal regulations, and need to be constructed in such a way that each flight is in exactly one T

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Guo, Yufeng. "Decision support systems for airline crew recovery." [S.l. : s.n.], 2005. http://deposit.ddb.de/cgi-bin/dokserv?idn=976568284.

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Klabjan, Diego. "Topics in airline crew scheduling and large scale optimization." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/29562.

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Radu, Alexandru. "Robust airline crew pairing optimization for short-haul flights." Thesis, KTH, Optimeringslära och systemteori, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-222340.

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Crew costs are the second highest costs for airlines therefore they represent a key factor for an airline survival and crew scheduling is one of the hardest combinatorial problem. The scheduling process is broken down into crew pairing and crew rostering and, in this thesis, a robust solution is described in detail for the former one. The purpose of the thesis is to present an efficient and robust crew pairing optimization tool which minimizes the pairings costs and reduces unnecessary overcovers. The model framework is based on a new concept which involves four stages. During the first stage

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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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Chan, Sze-wang Frankie, and 陳仕宏. "Regional Airline Headquarters and Crew Training Centre at Chek LapKok." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 1999. http://hub.hku.hk/bib/B31984423.

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Books on the topic "Airline crew"

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attendant), An So-yŏng (Flight, ed. Hanggongsa kaeksil sŭngmuwŏn kwallyŏn pŏmnyul: Airline cabin crew laws. Sŏkhaktang, 2012.

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The third man: A history of the airline crew complement controversy, 1947-1981. Dept. of Transportation, Federal Aviation Administration, 1987.

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C, Taylor J. The effects of crew resource management (CRM) training in airline maintenance: Results following three years experience. National Aeronautics and Space Administration, Ames Research Center, 1995.

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C, Taylor J. The effects of crew resource management (CRM) training in airline maintenance: Results following three years experience : 1994 final report, summary report, 07/01/93 through 12/31/94. National Aeronautics and Space Administration, 1995.

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5

Thompson, Roy J. C. North American cabin crew insignia. House of History, 1990.

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6

Fox, Deborah. People at work for an airline. Dillon Press, 1998.

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People at work for an airline. Evans, 1998.

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8

National Research Council (U.S.). Committee on Air Quality in Passenger Cabins of Commercial Aircraft. The airliner cabin environment and the health of passengers and crew. National Academy Press, 2002.

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9

Inc, Skyservice Airlines. Agreement #1 between Skyservice Airlines Inc. and cabin crew members as represented by the Skyservice Cabin Crew Association. s.n., 2001.

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10

Werner, Joseph. Berlin airlift: Brides and grooms created. Water Edge Pub., 1998.

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Book chapters on the topic "Airline crew"

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Alfandari, Laurent, and Anass Nagih. "Airline Crew Pairing Optimization." In Applications of Combinatorial Optimization. John Wiley & Sons, Inc., 2013. http://dx.doi.org/10.1002/9781118600283.ch1.

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Alfandari, Laurent, and Anass Nagih. "Airline Crew Pairing Optimization." In Applications of Combinatorial Optimization. John Wiley & Sons, Inc., 2014. http://dx.doi.org/10.1002/9781119005384.ch1.

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3

Andersson, Erik, Efthymios Housos, Niklas Kohl, and Dag Wedelin. "Crew Pairing Optimization." In Operations Research in the Airline Industry. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5501-8_8.

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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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Song, Mark, Guo Wei, and Gang Yu. "A Decision Support Framework for Crew Management During Airline Irregular Operations." In Operations Research in the Airline Industry. Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5501-8_9.

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6

Kim, Byung Tech, and Young Hoon Lee. "Heuristic Approach to Schedule Crew for a Regional Airline." In Computer and Information Sciences – ISCIS 2006. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11902140_9.

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Thiel, Markus P., Taïeb Mellouli, and Yufeng Guo. "Partially Integrated Airline Crew Scheduling for Team-oriented Rostering." In Operations Research Proceedings 2004. Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/3-540-27679-3_56.

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Chen, Qiao, Andrew Lim, and Wenbin Zhu. "A Greedy Heuristic for Airline Crew Rostering: Unique Challenges in a Large Airline in China." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21827-9_24.

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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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Crawford, Broderick, Carlos Castro, and Eric Monfroy. "A Hybrid Ant Algorithm for the Airline Crew Pairing Problem." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11925231_36.

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Conference papers on the topic "Airline crew"

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"Aspects of airline crew rostering." In Práce a štúdie. University of Zilina, 2021. http://dx.doi.org/10.26552/pas.z.2021.2.22.

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Airline crew rostering is a complicated planning-type problem, and its objective is to assemble pairings into schedules that maximise the satisfaction levels of crews. The rostering process focuses on achieving a more balanced workload distribution among the crewmembers that allows designing rosters in the interest of the crew. The main purpose of the paper was to explain the fundamental aspects of airline crew rostering and its impact on crewmembers’ fatigue. Additionally, the research identified mitigation measures that airlines should make to combat or mitigate crewmembers’ fatigue when des

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Xindu Chen, Xin Chen, and Xinhui Zhang. "Crew scheduling models in airline disruption management." In EM2010). IEEE, 2010. http://dx.doi.org/10.1109/icieem.2010.5646449.

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Aggarwal, Divyam, Dhish Kumar Saxena, Michael Emmerich, and Saaju Paulose. "On Large-Scale Airline Crew Pairing Generation." In 2018 IEEE Symposium Series on Computational Intelligence (SSCI). IEEE, 2018. http://dx.doi.org/10.1109/ssci.2018.8628699.

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Bayliss, Chris, Geert De Maere, Jason Atkin, and Marc Paelinck. "Scheduling Airline Reserve Crew to Minimise Crew Related Delay Using Simulated Airline Recovery and a Probabilistic Optimisation Model." In 2013 IEEE International Conference on Systems, Man and Cybernetics (SMC 2013). IEEE, 2013. http://dx.doi.org/10.1109/smc.2013.334.

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Limlawan, V., B. Kasemsontitum, and C. Jeenanunta. "Airline crew rostering problem using particle swarm optimization." In 2011 IEEE International Conference on Quality and Reliability (ICQR). IEEE, 2011. http://dx.doi.org/10.1109/icqr.2011.6031590.

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Ilagan, I. F., and C. Sy. "Robustness through possible crew swaps in airline operations." In 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM). IEEE, 2017. http://dx.doi.org/10.1109/ieem.2017.8289841.

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Neis, Stefan Manuel, and Melissa Irene Blackstun. "Feasibility analysis of wearables for use by airline crew." In 2016 IEEE/AIAA 35th Digital Avionics Systems Conference (DASC). IEEE, 2016. http://dx.doi.org/10.1109/dasc.2016.7778023.

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Zakrizevska, Maija. "PROFESSIONAL DEFORMATION CORRELATION WITH BURNOUT BETWEEN AIRLINE CABIN CREW." In 4th SGEM International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS Proceedings. STEF92 Technology, 2017. http://dx.doi.org/10.5593/sgemsocial2017/32/s11.034.

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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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Maille, Nicolas. "Modeling airline crew activity to improve flight safety analysis." In 2017 IEEE Aerospace Conference. IEEE, 2017. http://dx.doi.org/10.1109/aero.2017.7943673.

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