Systems Navigator - Dropboard - Advanced predictive planning

Title

Systems Navigator - Dropboard - Advanced predictive planning

 Author

Klop, Pepijn (TU Delft Electrical Engineering, Mathematics and Computer Science)
Shah, Mozafar (TU Delft Electrical Engineering, Mathematics and Computer Science)
Sitaram, Ashwin (TU Delft Electrical Engineering, Mathematics and Computer Science)

Contributor

Spaan, M.T.J. (graduation committee)

Degree granting institution

Delft University of Technology

 Date

2021-02-08

 Abstract

During this project, we have explored the possibilities for an algorithm that can schedule multiple visits taking into consideration constraints and KPIs. The solution we came up with has been integrated into Dropboard and is ready to be used in production by Dropboard’s clients. Our algorithm takes as input the visits to be scheduled. It then sorts these visits based on heuristics and schedules each visit in this order on its best location, using the single visit/ single resource allocation algorithm that was already present in Dropboard. Multiple plans are generated and post schedule optimised to possibly improve their rating. These plans are shown to the user with their rating in each KPI, and the user can select them to view them on the chart. Finally, a user is able to select a plan and persist it into the operational plan.

 Subject

Multi job scheduling
Advanced predictive planning

 To reference this document use:

http://resolver.tudelft.nl/uuid:af8d2840-f4c0-402c-ab91-08f1cffa55b6

 Part of collection

Student theses

 Document type

bachelor thesis

 Rights

© 2021 Pepijn Klop, Mozafar Shah, Ashwin Sitaram
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PDF Systems_Navigator_Dropboa ... anning.pdf 1.98 MB
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