University of Twente Student Theses
Cycle counting with UAVs: Sample selection in time-restricted scenarios with neural network predictions
Hammink, T.G. (2022) Cycle counting with UAVs: Sample selection in time-restricted scenarios with neural network predictions.
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| Abstract: | This thesis is part of a research for setting up an autonomous UAV solution for cycle counting. This research focused on the autonomous construction of cycle counting routes. The research proposes a method that focuses on cycle counts in time restricted-scenarios. A neural network is used which predicts the chance that a location's inventory record status is inaccurate. Th model's objective is to maximise the sum of the predicted chance of being inaccurate of locations visited each cycle count. |
| Item Type: | Essay (Master) |
| Clients: | Unknown organization |
| Faculty: | BMS: Behavioural, Management and Social Sciences |
| Programme: | Industrial Engineering and Management MSc (60029) |
| Link to this item: | https://purl.utwente.nl/essays/89838 |
| Export this item as: | BibTeX EndNote HTML Citation Reference Manager |
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