This paper is published in Volume-8, Issue-5, 2022
Area
Aeronautical Engineering ; Operations Research
Author
Saksham Airee, Shivansh Bansal, Sakshi Mehta
Org/Univ
Anil Surendra Modi School of Commerce, Mumbai, Maharashtra, India
Pub. Date
23 September, 2022
Paper ID
V8I5-1166
Publisher
Keywords
Aircraft Sequencing Problem, Operations Research, Aircraft Landing Problem, Runway Scheduling Problem, Mixed Integer Optimization, Dynamic Programming

Citationsacebook

IEEE
Saksham Airee, Shivansh Bansal, Sakshi Mehta. Applications of operations research in the airline industry: The aircraft sequencing problem, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Saksham Airee, Shivansh Bansal, Sakshi Mehta (2022). Applications of operations research in the airline industry: The aircraft sequencing problem. International Journal of Advance Research, Ideas and Innovations in Technology, 8(5) www.IJARIIT.com.

MLA
Saksham Airee, Shivansh Bansal, Sakshi Mehta. "Applications of operations research in the airline industry: The aircraft sequencing problem." International Journal of Advance Research, Ideas and Innovations in Technology 8.5 (2022). www.IJARIIT.com.

Abstract

Operations Research has seen a major breakthrough in the airline industry through airplane sequencing/scheduling problems (ASP). With continual developments, the airline industry has optimized air traffic management and minimized time delays in the arrival and departure of aircraft. There have been contributions from all fields of knowledge to come up with exact solutions and implied algorithms. The objective of this paper is to highlight the analytical discourse of the airline sequencing problem (ASP), outlining graphical formulations, mathematical models, theoretical perspectives, and novel approaches that define the problem and provide alternate contextual solutions. The systematic review focuses on the progress of these approaches to allow a layperson to get a detailed overview of the sequencing/scheduling problem and its implication in the airline industry.