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A new mathematical model for determining optimal workforce planning of pilots in an airline company

Title: A new mathematical model for determining optimal workforce planning of pilots in an airline company
Authors: Akyurt, IZ
Kuvvetli, Y
Deveci, M
Garg, H
Yuzsever, M
Item Type: Journal Article
Abstract: This study aims to model a workforce-planning problem of pilot roles which include captain and first officer in an airline company and to make an efficient plan having maximal utilization of minimum workforce requirements. To tackle this problem, a mixed integer programming based a new mathematical model is proposed. The model considers different conditions such as employing pilots with different skill types, resignations, retirements, holidays of pilots, transitions between different skills regarding needs of the demands during the planning horizon. The application of the proposed approach is investigated using a case study with real-world data from an airline company in Turkey. The results show that a company can use transitions instead of new employment and this is a more suitable medium-term production and human resource planning decision.
Issue Date: 21-May-2021
Date of Acceptance: 19-Apr-2021
URI: http://hdl.handle.net/10044/1/99619
DOI: 10.1007/s40747-021-00386-x
ISSN: 2198-6053
Publisher: Springer
Start Page: 429
End Page: 441
Journal / Book Title: Complex and Intelligent Systems
Volume: 8
Issue: 1
Copyright Statement: © The Author(s) 2021
Keywords: Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science
Airline workforce planning
Mathematical modeling
Pilots
Aircraft types
Mixed integer programming
CAPACITY
OPTIMIZATION
Aircraft types
Airline workforce planning
Mathematical modeling
Mixed integer programming
Pilots
Science & Technology
Technology
Computer Science, Artificial Intelligence
Computer Science
Airline workforce planning
Mathematical modeling
Pilots
Aircraft types
Mixed integer programming
CAPACITY
OPTIMIZATION
Publication Status: Published
Appears in Collections:Earth Science and Engineering



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