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Prescriptive
Reliability-Centered Maintenance for Industry 5.0

Kurumeng prioritises interventions by assessed risk and refines prioritisation using predictive analytics to create a Maintenance Priority Index (MPI) for vital assets at the right time.

Driving asset reliability and operational excellence for mining, energy, commercial and higher education facilities.

Data Collection

  • IOT Sensors

  • Equipment Data

  • Environmental Data

Data Processing

  • Data Cleaning

  • Feature Engineering

  • Data Integration

Analytics & Modelling

  • Machine Learning

  • Statistical Analysis

  • Digital Twins

Prediction & Alerts

  • Anomaly Detection

  • RUL Prediction

  • Risk Scoring

Maintenance Execution

  • Work Orders

  • Scheduling

  • Resource Allocation

Why Kurumeng?

Kurumeng leverages deep industry knowledge and hands-on experience to guide clients from reactive maintenance to prescriptive reliability-centered excellence! Our process begins with a meticulously crafted assessment survey that uncovers concrete opportunities for establishing and refining your asset management practices within the 5th industrial revolution.

Maintenance Priority Index (MPI)

Predictive & Prescriptive Analytics

Compliance & Performance Mastery

We implement the MPI methodology to prioritise interventions by assessed risk—likelihood and impact of failure—ensuring maintenance on vital assets at the right time.

Our methodology refines prioritisation using predictive analytics and expert insights to suggest technical actions that mitigate risk and prevent failure across your critical asset base.

With mastery of regulatory and performance standards, we ensure safety and efficiency are never compromised. We help you reallocate budgets from low-value tasks to high-impact asset optimizations.

“Prescriptive reliability-centered maintenance is not a software license; it is a deliberate bridge between data, engineering judgement, and everyday maintenance choices.”

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