Year: 2025
Type: article
Abstract: : The aviation industry faces complex challenges in efficiently managing cabin crew assignments while ensuring operational efficiency, regulatory compliance, and high service quality. This project aims to develop a systematic approach to optimize cabin crew allocation using the Hungarian method, with Indigo Airlines as the primary case study. The project focuses on developing a mathematical optimization model that incorporates critical factors, including flight schedules, duty time limitations, and mandatory rest periods. The Hungarian algorithm is applied to operational data from Indigo Airlines, with variables such as crew base locations, flight durations, sector pairings, and turnaround times. By formulating the crew assignment problem as an assignment problem, the project provides an effective and scalable solution to minimize overall costs. The impact on operational efficiency is analyzed through key performance indicators such as crew pairing costs, resource utilization, and the optimization of crew workloads. Additionally, the project explores the trade-offs between cost reduction, crew satisfaction, and regulatory adherence, aiming to provide a balanced solution that enhances both operational performance and crew morale. Ultimately, this project contributes to the field of airline operations by offering a practical, implementable solution for cabin crew assignment optimization, providing airlines with a tool to enhance productivity, reduce operational costs, and improve overall service quality
Author: Pinky Goyal
Language: English
Field: Decision Sciences
Domain: Social Sciences
Open Access status: diamond
OpenAlex ID: W4410855886