Charting the future of pilots: maximizing airline workforce efficiency through advanced analytics

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dc.authorscopusidDursun Delen/55887961100
dc.authorwosidDursun Delen/AGA-9892-2022
dc.contributor.authorÇankaya, Burak
dc.contributor.authorErenay, Bülent
dc.contributor.authorKibis, Eyyub
dc.contributor.authorGlassman, Aaron
dc.contributor.authorDelen, Dursun
dc.date.accessioned2025-04-18T08:23:57Z
dc.date.available2025-04-18T08:23:57Z
dc.date.issued2024
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümü
dc.description.abstractPilots and aircraft are among the most valuable assets of an airline. Buying aircraft and hiring pilots are crucial strategic decisions companies must oversee for sustainability. The cost of buying, selling, leasing, and long production times for aircraft challenge companies in making optimal long-term decisions. Union rules, pilot shortages, pilot surplus, and the cost of employing an excessive number of pilots are factors complicating the workforce planning for airline companies worldwide. Under these volatile and conflicting circumstances, many companies cannot strategically plan for the planning of pilots to aircraft to meet short-term tactical decisions against mid/long-term company strategies. In this study, our objective is to optimize long-term crew planning by minimizing the total crew cost considering captain promotions and new hires, without compromising the pilot experience. A mixed integer programming model is developed to solve the long-term airline crew planning problem. Realistic business scenarios are used to determine the optimal pilot hiring and promotion patterns for both high-and low-demand scenarios. The results show that the proposed optimization method significantly reduces crew costs without compromising the pilot experience in various demand and cost scenarios. The mathematical model, the realistic business scenarios, and the business insights for airlines are deemed novel contributions to the pertinent literature and industry practices. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.
dc.identifier.citationCankaya, B., Erenay, B., Kibis, E., Glassman, A., & Delen, D. (2024). Charting the future of pilots: maximizing airline workforce efficiency through advanced analytics. Operational Research, 24(3), 1-32.
dc.identifier.doi10.1007/s12351-024-00861-6
dc.identifier.issn11092858
dc.identifier.issue3
dc.identifier.scopus2-s2.0-85202818109
dc.identifier.scopusqualityQ1
dc.identifier.urihttp://dx.doi.org/10.1007/s12351-024-00861-6
dc.identifier.urihttps://hdl.handle.net/20.500.12713/6557
dc.identifier.volume24
dc.identifier.wosWOS:001302498600001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakScopus
dc.institutionauthorDelen, Dursun
dc.institutionauthoridDursun Delen/0000-0001-8857-5148
dc.language.isoen
dc.publisherSpringer Science and Business Media Deutschland GmbH
dc.relation.ispartofOperational Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectAirline Workforce Planning
dc.subjectAviation Business Analytics
dc.subjectAviation Strategic Decision Making
dc.subjectCrew Planning
dc.subjectManpower Planning
dc.subjectMathematical Optimization
dc.subjectPilot Optimization
dc.titleCharting the future of pilots: maximizing airline workforce efficiency through advanced analytics
dc.typeArticle

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