Search for dissertations about: "Maintenance scheduling"
Showing result 1 - 5 of 47 swedish dissertations containing the words Maintenance scheduling.
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1. Cost optimization of maintenance scheduling for wind turbines with aging components
Abstract : A major part of the wind turbine operation cost is resulted from the maintenance of its components. This thesis deals with the theory, algorithms, and applications concerning minimization of the maintenance cost of wind power turbines, using mathematical modelling to find the optimal schedules of preventive maintenance activities for multi-component systems. READ MORE
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2. Mathematical Modeling, Optimization and Scheduling of Aircraft's Components Maintenance and of the Maintenance Workshop
Abstract : This research concerns the simultaneous scheduling of preventive maintenance for a fleet of aircraft and their common components along with the maintenance workshop, to which the components are sent for repair. The problem arises from an industrial project with the Swedish aerospace and defence company Saab. READ MORE
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3. Leveraging Data-Driven and Alignment Techniques for Optimal Railway Track Maintenance Scheduling
Abstract : The railway infrastructure plays a pivotal role in fostering economic growth and poverty alleviation. Over time, these infrastructures deteriorate due to aging and usage, compromising their functionality. Given their crucial socioeconomic significance and vast scale, ensuring their functionality and availability is paramount. READ MORE
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4. Data-driven predictive maintenance planning and scheduling
Abstract : The railway track network is one of the major modes of transportation and among a country’s most valuable infrastructure assets. Maintenance and renewal of railway infrastructure have a vital role in safety performance, the quality of the ride, train punctuality, and the life cycle cost of assets. READ MORE
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5. Data-driven models for railway track geometry maintenance
Abstract : Railways are currently experiencing higher demands on safety, infrastructure performance, network capacity and service quality, etc. As a result, a high level of track availability, service quality and infrastructure robustness against unexpected events is required, at reduced cost, to meet the demands. READ MORE