Forecasting Overtime Budgets for Naval Fleet Maintenance Facilities Using Time-Series Analysis During Transient System States

Author:

Gunasekara CharithORCID,Arseneau LiseORCID,Eisler CherylORCID

Publisher

Springer International Publishing

Reference32 articles.

1. Royal Canadian Navy Homepage: http://www.navy-marine.forces.gc.ca/en/index.page. Accessed 10 Jan 2021

2. Holmes, M.: Predicting overtime hours for fleet maintenance facility cape breton (DRDC-RDDC-2020-R071). Defence R&D Canada - Centre for Operational Research and Analysis, Ottawa (2020)

3. h2o.ai homepage. https://www.h2o.ai/. Accessed 10 Dec 2021

4. Eisler, C., Holmes, M.: Applying automated machine learning to improve budget estimates for a naval fleet maintenance facility. In: 10th International Conference on Pattern Recognition Applications and Methods, pp. 586–593. SciTePress, Portugal (2021)

5. Maybury, D.: Predictive analytics for the royal canadian navy fleet maintenance facilities: an application of data science to maintenance task completion times (DRDC-RDDC-2018-R150). Defence R&D Canada - Centre for Operational Research and Analysis, Canada (2018)

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