CONTROL MODEL FOR GROUND CREW SCHEDULING PROBLEM AT SMALL AIRPORTS: CASE OF SERBIA

Author:

Milutinović Lena Đorđević1,Makajić-Nikolić Dragana1,Antić Slobodan1,Živić Marija1,Lisec Andrej2

Affiliation:

1. Faculty of Organizational Sciences, University of Belgrade, Serbia

2. Faculty of Logistics, University of Maribor, Slovenia

Abstract

Present-day airline industry is quite a competitive field and crew scheduling represents one of the crucial problems due to significant impact on the airline’s cost. The crew scheduling problem is based on the assignment of crew members to operate different tasks of route. The main goal of this paper is to provide an analysis and a solution to one of the biggest problems detected on a small airport in the Serbia - the problem of ground crew scheduling. The paper presents the main characteristics, goals and limitations of a real-life problem identified at this small airport. In order to solve the problem, we developed a dynamic discrete simulation model. The model is developed in a spreadsheet environment of Microsoft Excel. Some of the main limitations found in the development of the model are strong constraints and multiple goals. The model presented in the paper is designed as a useful management tool for smaller airports and is aimed at the improvement of operative processes.

Publisher

Vilnius Gediminas Technical University

Subject

Mechanical Engineering,Automotive Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Characteristics of Spreadsheet-Based Shadow IT in Serbian Companies;Sustainable Business Management and Digital Transformation: Challenges and Opportunities in the Post-COVID Era;2022-11-12

2. Minimization of completion time variance in flowshops using genetic algorithms;Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería;2022

3. Integrated scheduling of machines and automated guided vehicles (AGVs) in flexible job shop environment using genetic algorithms;International Journal of Industrial Engineering Computations;2022

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