University of Twente Student Theses
Forecasting yearly unplanned maintenance on underground waste containers based on maintenance history and demographics
Ven, F.R. (2020) Forecasting yearly unplanned maintenance on underground waste containers based on maintenance history and demographics.
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| Abstract: | Municipal solid waste is ubiquitous: every city, municipality, and country has to deal with waste generated by its inhabitants. A common collection method is to let citizens deposit their waste in large waste containers from which it is then collected. This thesis researches the unplanned (e.g. corrective) maintenance needs of large ($5m^3$) underground waste containers and attempts to forecast those maintenance needs. Literature on the subjects of maintenance forecasting and municipal solid waste generation is studied to identify possible predictors. The identified predictors are validated using a linear regression model in a case-study of the municipality of Amsterdam. The case-study shows that asset age, specific asset types, and the number of assets are meaningful indicators of upcoming maintenance. The final predictive model has an expected error of 32\% of the target variable. While the prediction error is too high for practical use, this thesis breaks ground on prediction on these specific types of assets and thoroughly documents the subject and open work for use in future work. |
| Item Type: | Essay (Master) |
| Faculty: | EEMCS: Electrical Engineering, Mathematics and Computer Science |
| Subject: | 54 computer science |
| Programme: | Computer Science MSc (60300) |
| Link to this item: | https://purl.utwente.nl/essays/85277 |
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