abstract
- Determining what causes field equipment malfunction and predicting when those malfunctions will occur can save large amounts of money for corporations that are capital-intensive. To avert equipment downtime, field equipment maintenance departments must be adequately resourced. Herein, we demonstrate the efficacy of machine learning to determine time between failure, repair time (equipment downtime) and repair cost. Additionally, a mean value analysis is carried out to determine the maintenance department capacity. Uncertainty is modelled using statistical analysis and simulation. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2023.