Service Description
Failure and criticality analysis is an engineering discipline focused on determining the root causes of failures in industrial equipment and systems, as well as assessing the criticality of components to prioritize maintenance resources.
Using advanced methodologies such as FMEA, FMEA, RCA, RCA, FTA, and other tools, we help organizations systematically investigate failures, identify vulnerabilities, and develop solutions that prevent their recurrence, improving operational reliability and reducing downtime and associated costs.
Main Services
Main Failure and Criticality Analysis Services
Root Cause Analysis (RCA)
- Systematic failure investigation using 5-Why, Ishikawa, DMAIC, and other methodologies
- Analysis of historical data and failure trends
- Advanced diagnostic techniques and non-destructive testing
- Development of comprehensive reports with actionable recommendations
- Follow-up on solution implementation and verification of effectiveness
Failure Mode and Effects Analysis (FMEA)
- Systematic identification of potential failure modes and their effects
- Evaluation of failure severity, occurrence, and detectability
- Development of risk control and mitigation plans
- Design (DFMEA) and process (PFMEA) application
- Integration with reliability and quality programs
Criticality Analysis
- Multi-factor criticality assessment of systems and equipment
- Development of customized criticality matrices
- Asset prioritization for maintenance programs
- Optimization of spare parts inventories based on criticality
- Alignment of resources with equipment criticality
Reliability Audit
- Comprehensive assessment of existing reliability programs
- Analysis of reliability KPIs (MTBF, MTTR, availability)
- Benchmarking against industry best practices
- Identification of gaps and opportunities for improvement
- Development of roadmaps for reliability excellence
Predictive and Preventive Analysis
- Implementation of condition monitoring techniques
- Vibration analysis, thermography, ultrasound, and other NDT techniques
- Development of predictive models based on historical data
- Integration of IoT and analytics for failure prediction
- Optimization of preventive maintenance intervals
Featured Projects
