A new mathematical model for determining optimal workforce planning of pilots in an airline company
Author(s)
Akyurt, Ibrahim Zeki
Kuvvetli, Yusuf
Deveci, Muhammet
Garg, Harish
Yuzsever, Mert
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.
Date Issued
2021-05-21
Date Acceptance
2021-04-19
Citation
Complex and Intelligent Systems, 2021, 8 (1), pp.429-441
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
License URL
Identifier
https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000652980800001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Subjects
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