Shift Planning with Artificial Intelligence within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations

Mine Değirmencioğlu; Armağan Macit

doi:10.30518/jav.1724765

Shift Planning with Artificial Intelligence within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations

Abstract

This study examines the potential contribution of artificial intelligence-based shift planning to strategic decision-making processes in airport ground handling operations. Today, the need for decision-making aligned with multidimensional goals such as resource management, legal compliance, and employee satisfaction alongside operational efficiency, is increasingly evident. In this context, considering the multi-departmental structure of a ground handling company operating at Antalya Airport, traditional shift planning was comparatively analyzed against AI-supported optimization. During the implementation process, not only operational outputs but also the managerial benefits of decision support systems were evaluated. The findings reveal that AI-based planning enhances not only efficiency but also strategic flexibility and predictability. By demonstrating that digital technologies enable a data-driven and agile decision-making approach in human resources planning, this study makes a meaningful contribution to theoretical gaps in literature.

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Details

Primary Language

English

Subjects

Air Transportation and Freight Services

Journal Section

Research Article

Authors

Mine Değirmencioğlu
0000-0002-5949-0003
Türkiye

Armağan Macit ^*
0000-0002-5694-8285
Türkiye

Early Pub Date

October 10, 2025

Publication Date

October 19, 2025

Submission Date

June 22, 2025

Acceptance Date

August 25, 2025

Published in Issue

Year 2025 Volume: 9 Number: 3

DOI

https://doi.org/10.30518/jav.1724765

IZ

https://izlik.org/JA37RN83CU

Cite

RIS / Bibtex

APA

Değirmencioğlu, M., & Macit, A. (2025). Shift Planning with Artificial Intelligence within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations. Journal of Aviation, 9(3), 669-675. https://doi.org/10.30518/jav.1724765

AMA

1.Değirmencioğlu M, Macit A. Shift Planning with Artificial Intelligence within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations. JAV. 2025;9(3):669-675. doi:10.30518/jav.1724765

Chicago

Değirmencioğlu, Mine, and Armağan Macit. 2025. “Shift Planning With Artificial Intelligence Within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations”. Journal of Aviation 9 (3): 669-75. https://doi.org/10.30518/jav.1724765.

EndNote

Değirmencioğlu M, Macit A (October 1, 2025) Shift Planning with Artificial Intelligence within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations. Journal of Aviation 9 3 669–675.

IEEE

[1]M. Değirmencioğlu and A. Macit, “Shift Planning with Artificial Intelligence within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations”, JAV, vol. 9, no. 3, pp. 669–675, Oct. 2025, doi: 10.30518/jav.1724765.

ISNAD

Değirmencioğlu, Mine - Macit, Armağan. “Shift Planning With Artificial Intelligence Within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations”. Journal of Aviation 9/3 (October 1, 2025): 669-675. https://doi.org/10.30518/jav.1724765.

JAMA

1.Değirmencioğlu M, Macit A. Shift Planning with Artificial Intelligence within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations. JAV. 2025;9:669–675.

MLA

Değirmencioğlu, Mine, and Armağan Macit. “Shift Planning With Artificial Intelligence Within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations”. Journal of Aviation, vol. 9, no. 3, Oct. 2025, pp. 669-75, doi:10.30518/jav.1724765.

Vancouver

1.Mine Değirmencioğlu, Armağan Macit. Shift Planning with Artificial Intelligence within the Scope of Strategic Decision-Making Approach in Airport Ground Handling Operations. JAV. 2025 Oct. 1;9(3):669-75. doi:10.30518/jav.1724765