Integrating a Causal Foundation Model into a Prescriptive Maintenance Framework for Optimising Production-Line OEE

ArXi:2512.00969v2 Announce Type: replace The transition to prescriptive maintenance (PsM) in manufacturing is critically constrained by a dependence on predictive models. Such purely predictive models tend to capture statistical associations in the data without identifying the underlying causal drivers of failure, which can lead to costly misdiagnoses and ineffective measures. This fundamental limitation results in a key challenge: while we can predict that a failure may occur, we lack a systematic method to understand why a failure occurs.