Your Growth, Our Mission
Root Cause Failure Analysis (RCFA) is a systematic, disciplined approach to identifying why equipment, systems, and processes fail, then developing corrective actions to prevent recurrence. This course builds practical, job-ready capability to investigate equipment failures and operational upsets in oil & gas—moving beyond “what happened” to why it happened, how to prove the cause(s) with evidence, and how to implement corrective actions that prevent recurrence. Trainees practice a consistent investigation workflow (problem definition → evidence & timeline → causal analysis → verified root causes → actions & follow-up), using tools that align with widely used dependability and incident-investigation guidance.
The course is designed for:
Maintenance Planners and Engineers seeking to eliminate recurring failures
Operations and Production Supervisors managing equipment reliability and costs
Quality Professionals and Equipment Engineers involved in failure investigations
Foremen, Team Leaders, and Plant Engineers focused on operational excellence
Section Engineers and System Professionals driving continuous improvement
Participants require basic maintenance background but no prior RCFA
Day 1 — Problem definition + investigation framing
What RCFA is / isn’t; when to launch an RCFA (repeat failures, high risk, high cost)
Define the problem: boundaries, “what is happening” vs “why it’s happening”
Levels of causes: direct / contributing / root causes (avoid blame labels)
RCFA workflow: scope → evidence → analysis → causes → actions → verification
Build the “problem understanding pack”: timeline + flowchart of the system/process
Workshop: create a clear problem statement + initial timeline (oil & gas case)
Day 2 — Cause hypothesis generation (structured brainstorming)
Brainstorming vs brainwriting (how to capture better causes, reduce bias)
Is–Is Not matrix (tighten the problem and eliminate weak hypotheses)
Nominal Group Technique (NGT) for prioritizing likely causes
Paired comparisons to rank competing cause theories
Draft a “cause list” grouped by: people / process / equipment / materials / environment / management system
Workshop: team session to produce a ranked shortlist of causes + evidence gaps
Day 3 — Evidence collection + data analysis (prove/disprove causes)
Evidence planning: what data is needed for each hypothesis (and where it lives: CMMS, historian, inspection, OEM, interviews)
Sampling basics + check sheets for repeatable field data capture
Surveys/interviews (structured questions; facts vs opinions)
Data analysis tools: histogram, Pareto, scatter (patterns, correlations, “vital few”)
Visual tools: problem concentration diagram (where), relations/affinity diagrams (how causes link)
Workshop: build a Pareto + scatter from a provided dataset; update the timeline with confirmed facts
Day 4 — Root cause identification (logic tools)
Cause-and-effect chart (Fishbone) with evidence tags (confirmed vs assumed)
Matrix diagrams (link causes ↔ evidence ↔ controls ↔ consequences)
Five Whys (done with evidence checks, not “why-spirals”)
Fault Tree Analysis (FTA): top event → logic gates → minimal cause paths
Workshop: complete an evidence-based causal model (Fishbone + 5 Whys + FTA) for a rotating/process equipment failure scenario
Day 5 — Eliminate causes + implement & sustain
Root cause elimination tools: Six Thinking Hats (decision quality), TRIZ / SIT (break constraints, generate stronger solutions)
Select corrective actions: eliminate vs mitigate; engineering vs procedural; prevent recurrence
Build implementation plan (owners, dates, resources) + tree diagram for rollout steps
Force-field analysis: resistance vs enablers; change acceptance plan
Verification plan: effectiveness review, monitoring window, KPIs, closure criteria
Capstone: teams present the full RCFA (problem → evidence → logic → root causes → actions → verification)
BTS attendance certificate will be issued to all attendees completing minimum of 80% of the total course duration.
| Code | Date | Venue | Fees | Action |
|---|---|---|---|---|
| MI274-01 |
2026-05-03
|
Manama
|
USD
5450
|
Register |
| MI274-02 |
2026-08-10
|
Istanbul
|
USD
5950
|
Register |
| MI274-03 |
2026-11-15
|
Dubai
|
USD
5450
|
Register |
Prices don't include VAT
Your Growth, Our Mission