Print Email Facebook Twitter Integral Internal Transport Planning and Coordination of Multiple Assets and Resources for turnaround of Aircraft for KLM at Amsterdam Airport Schiphol Title Integral Internal Transport Planning and Coordination of Multiple Assets and Resources for turnaround of Aircraft for KLM at Amsterdam Airport Schiphol Author Vos, Peter (TU Delft Mechanical, Maritime and Materials Engineering) Contributor Beelaerts van Blokland, W.W.A. (graduation committee) Negenborn, R.R. (mentor) Degree granting institution Delft University of Technology Date 2019-04-16 Abstract Currently, KLM's apron processes work in separate silos and there is only minimal integration. The result is that processes tend to work to a local optimum instead of a global optimum. A Transport Logistic Control Tower is a centralized information hub from which integral decisions can be made which could benefit the overall turnaround process at Schiphol airport. There is little knowledge about the effects on the system performance when input parameters are varied. A uniform way of scheduling tasks and making integral decisions is missing. The goal of this research is to determine the integral control scenario that should be used by a Transport Logistic Control Tower in order to optimize the overall performance of KLM's apron processes. The main research question is formulated as: Which integral control scenario should be used by a Transport Logistic Control Tower in order to optimize the overall performance of KLM's apron processes? In the current state analysis the Delft Systems Approach is used in combination with swim lane analyses to analyze the current system. Relations between the different processes, how they interact and the decisions that are made to plan their tasks are analyzed to get a better understanding of the apron processes. To asses the performance of the apron processes, the On Time Start (OTS), On Time Performance (OTP) and the On Time Delivery (OTD) are introduced. The number of flight delays and the corresponding costs are used to combine the process KPIs in order to make a final decision on the best control scenario for KLM. A thorough data analysis is performed by combining the multiple data sources of KLM to get insight in the performance of the system. This showed us that the data quality is not sufficient, and data does not correspond well with the real system. It is therefore recommended to use historical data in combination with the current calculation methods to improve the way the task duration is calculated. This also means that the way data is stored in the HHT should be automated to reduce the amount of measurement errors. A simulation model is designed to assess different control scenarios and the effect they have on the KPIs. The one day run shows significant improvements when dynamic flight priorities are used in combination with a departure oriented control scenario that schedules based on departure time. Compared to the same control scenarios using static priorities, an average improvement of 31,1\% or 1,7 million euros annually could be seen in the delay costs. This control scenario is therefore recommended and shows the necessity to use a uniform way of planning and the potential of the proposed dynamic flight priorities. The recommendations are done based on the analyses and the found results, and used to advice KLM on their future control scenario for their apron processes and improvement levers from which they could benefit in the future. Subject OptimizationKLMApron To reference this document use: http://resolver.tudelft.nl/uuid:bb7dbde7-31ae-4915-b733-5742e30b50ef Embargo date 2022-03-27 Part of collection Student theses Document type master thesis Rights © 2019 Peter Vos Files PDF 2019.TEL.8332_Master_Thes ... L._Vos.pdf 4.93 MB Close viewer /islandora/object/uuid:bb7dbde7-31ae-4915-b733-5742e30b50ef/datastream/OBJ/view