Predicting remaining time for an energy regulator’s highly parallel process ...
Business process mining is a field that allows businesses to leverage data collected by business systems to gain insight into their processes. While process mining is a broad field, this thesis concentrates on process duration prediction based on information gained by reviewing historical data. Spec...
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| Format: | Text |
| Language: | English |
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University of British Columbia
2023
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| Online Access: | https://dx.doi.org/10.14288/1.0433098 https://doi.library.ubc.ca/10.14288/1.0433098 |
| Summary: | Business process mining is a field that allows businesses to leverage data collected by business systems to gain insight into their processes. While process mining is a broad field, this thesis concentrates on process duration prediction based on information gained by reviewing historical data. Specifically, we investigate a provincial energy regulator's permit application process, and explore methods to predict the duration of the application, along with one of the sub-processes. The primary concern is developing an interpretable model to support the regulatory body in explaining the results of the predictions. Our goals are to solve the problem of how long a permit application might take to process, and support engagement with local First Nations communities by providing accurate estimates of the consultation process. These predictions are complicated by the highly complex processes being predicted, which include parallel execution of process tasks, causing significant data complexity. We solve the ... |
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