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Managing Uncertainty in Airline Ground Operations : A Stochastic Staff Scheduling Approach

Assink, J.G. (2025) Managing Uncertainty in Airline Ground Operations : A Stochastic Staff Scheduling Approach.

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Abstract:Airports are a dynamic environment where multiple factors affect daily work. Therefore, staff scheduling should be performed accordingly to ensure sufficient capacity to handle the scheduled activities. In this thesis, we present an alternative approach to schedule staff, focusing on improvement of the model formulation to improve the computational performance. Subsequently, we extend the model to optimize over different possible scenarios that might occur at the airport, improving the schedules robustness against deviations. We scope our experiments to the baggage handlers of the ground operations department, but note that extension to other departments is viable. We find that applying a stochastic programming approach can save around 10% of costs, capturing the majority of the cost savings, as only 7% of further cost savings can be achieved if schedule deviations are known. Furthermore, we find the advantages of allowing exchangeability of employees between departments to be able to save a further 8% of costs, indicating the importance of flexibility. Lastly, we present a robust model that allows the user to explicitly set boundaries on the percentage of certainty that enough employees are present for the activities.
Item Type:Essay (Master)
Clients:
De Koninklijke Luchtvaart Maatschappij N.V., Amsterdam, Nederland
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:30 exact sciences in general, 58 process technology
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:https://purl.utwente.nl/essays/105993
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