Stop Unplanned Downtime Before It Costs Millions
Challenge:
"We lose millions when equipment fails unexpectedly."
Solution:
We don't just fix failures — we engineer systems where they cannot recur.
Case Study: Large Pipeline Operator – Turbine Failure Investigation
Conducted a full root cause analysis (RCA) using the Prysma® methodology, identifying not only mechanical failure modes but latent organizational drivers such as maintenance planning gaps and sensor calibration drift. This comprehensive approach ensured that corrective actions addressed both technical and systemic issues, preventing future occurrences.
Behind the Scenes: Technical Approach
Method
Prysma® Causal Chain Analysis
Tools
AspenTech Fidelis, SuperSMITH for Weibull analysis
Validation
Protocol-driven QA with documented verification steps
Outcome
Implemented corrective actions with traceability to system-level reliability improvement
Why This Approach Works
Beyond Surface-Level Analysis
We identify not just what failed, but why the organization allowed it to fail — addressing latent factors in maintenance planning, training gaps, and procedural weaknesses.
Mathematically Rigorous
Using Weibull analysis and reliability modeling, we quantify failure probability and predict future risk exposure under different operational scenarios.
Institutionalized Learning
Through KIAME©, we ensure that lessons learned are captured, formalized, and embedded into your organization's decision-making processes — not lost in reports.