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.
Highlights
Air transport represents a significant industrial sector, in constant evolution since the late 1950s
In order to solve the problem, the authors developed a mathematical model implemented as the spreadsheet simulation model
Entry of flight schedules input data is realized through Microsoft Excel forms
Summary
Air transport represents a significant industrial sector, in constant evolution since the late 1950s. According to Kasirzadeh et al (2017), the importance of this industry is characterized by its own operations, as well as the influence on related industries, such as tourism and aircraft. Considering the competitiveness of the air traffic industry, the development and implementation of high-level systems of monitoring and control is a necessity. Large aviation centers, such as airports in European capitals, have highly developed monitoring and management systems, that operate in accordance with their numerous needs. Human resources represent one of the most important resources in all areas of business When it comes to services, that importance is even more pronounced. In the services industry, the varying number of customers directly affects the workload
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