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Implementing dynamic clustering of maintenance activities at AIS Airlines

Binnenmars, N.J. (2018) Implementing dynamic clustering of maintenance activities at AIS Airlines.

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Abstract:Problem Description AIS Airlines is an airliner based in Lelystad with their own maintenance department. The maintenance department of AIS is responsible to have the 7 operational Jetstream 32 turbo-prop aircraft airworthy. As for now, the maintenance is solely planned on the expert knowledge of the maintenance planner. This causes inaccuracies to occur in the maintenance planning, especially when aircraft get swapped to other routes and therefore fly a different amount of flight hours or cycles than anticipated, which can mess up the maintenance planning. AIS wants to start implement dynamic clustering to be able to quickly generate new maintenance schedules. Also, by making use of these scheduling methods, AIS will be able to quickly check what impact it will have when scheduling aircraft on other routes. When creating maintenance schedules, the planner has to take into consideration the initial due date of maintenance jobs, the maximum interval and what setup tasks might be necessary. Research Objective In this thesis we will have two objectives. The first objective is to find methods for dynamic clustering of maintenance activities and try to adapt the methods to fit the context of AIS Airlines. The second objective is to take these methods and find a way how to implement dynamic clustering of maintenance activities at AIS Airlines.
Item Type:Essay (Master)
Clients:
AIS Airlines, The Netherlands
Faculty:BMS: Behavioural, Management and Social Sciences
Subject:31 mathematics
Programme:Industrial Engineering and Management MSc (60029)
Link to this item:http://purl.utwente.nl/essays/76920
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