With the Dataiku Solution for Maintenance Performance and Planning, quickly turn vast volumes of maintenance history into optimized maintenance plans. Reliability engineers and maintenance teams can move from time-based preventive approaches to data-adjusted ones.
Add your equipment, downtime events, and maintenance data, and access ready-made dashboards to understand mean time between failure, along with remaining useful life and weibull distributions across your fleet.
Leverage maintenance history from your computerized maintenance management system (CMMS), enterprise asset management (EAM), or other work management system through the Project Setup.
Ingest disparate data sources and create an optimized maintenance schedule based on your ideal unplanned maintenance ratio.
For each equipment, assess remaining useful life and ideal maintenance operation schedule thanks to an explainable and transparent machine learning (ML) model. Anticipate maintenance needs with a Survival Analysis model fuelled by maintenance history.
Based on your ideal unplanned maintenance ratio, generate an optimized maintenance plan. Understand recommendations and adjust to needs before enforcing through your regular tools.
Benefit from full explainability of predictive models that expose the influence of different attributes on unplanned maintenance.
Extract contents from your documents, connect these to your choice of LLM via the LLM Mesh, and accelerate your understanding of maintenance performance.
The Dataiku Solution for Maintenance Performance and Planning helps answer a broad range of questions like:
Generate automatic reports thanks to Dataiku’s GenAI capabilities, transforming analytics into business insights for actual usage by the operations team.
