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Prescriptive
Reliability-Centered Maintenance for Industry 5.0

Kurumeng empowers your shift toward Industry 5.0 by placing human-centric value and sustainability at the core of asset management. Using prescriptive reliability-centered maintenance (RCM) and maintenance priority index (MPI), we ensure long-term resilience for workers, the environment, and your stakeholders.

Driving asset reliability and operational excellence across 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

  • Prescriptive Analytics

  • Machine Learning

  • Multi-Criteria Decision Matrices

Prediction & Alerts

  • Expert Insights

  • Risk Scoring

  • RUL Prediction

Maintenance Execution

  • Work Orders

  • Scheduling

  • Resource Allocation

Prescriptive
Reliability-Centered Maintenance

Kurumeng guides clients from reactive cycles to prescriptive reliability-centered maintenance (RCM). By combining RCM’s structured analysis of failure modes with prescriptive optimization, we appreciate system-level interactions, resource constraints, and competing business objectives. This ensures that organizations move beyond identifying what maintenance should be done to determining how and when maintenance should be optimally scheduled to maximize overall value.

Reliability-Centered Maintenance (RCM)

Prescriptive Maintenance

Maintenance Priority Index (MPI)

The RCM analysis serves as the foundational step leading to prescriptive RCM. It identifies failure modes, evaluates their impacts, and develops possible maintenance strategies for each asset.

 

Through this approach, Kurumeng ensures that actual risks and results are handled efficiently, transforming simple asset inventories into detailed reliability plans.

In addition to predictive methods, prescriptive maintenance employs sophisticated optimization strategies, decision-making frameworks, and multi-criteria evaluations to offer recommendations.

 

These practical suggestions take into account various competing objectives, constraints, and business priorities, ensuring that teams are well-informed about the necessary actions, timelines, and justifications, ultimately improving outcomes in an Industry 5.0 environment.

The MPI offers a quantitative framework that consolidates various criticality dimensions into one actionable ranking system.

Kurumeng enhances the MPI by incorporating RCM and prescriptive methodologies, resulting in a strong ecosystem for efficient decision-making.

“Through the systematic integration of multidimensional criticality assessment, consequence-oriented failure analysis, and mathematical optimization, Kurumeng enables organizations to attain unparalleled control over maintenance performance, costs, and risks.”

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