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Master root cause analysis (RCA) in mining maintenance
Recurring breakdowns call for more than another repair. Use root cause analysis to structure investigations and connect findings with corrective actions. Strengthen your mining maintenance teams' ability to address causes rather than symptoms alone.
- Duration
- 3 days 21 hours
- Code
- MI001FR Code
Presentation
In a mining environment, every hour of downtime means lost production and increased risks for teams. This 3-day course teaches you to go beyond repairs: identify the root cause of failures, plan targeted interventions and implement mechanisms to anticipate future breakdowns.
Using concrete cases involving crushers, excavators and conveyor belts, you will master fault trees, Ishikawa diagrams and RCA adapted to field constraints: vibration, dust, thermal shock and spare parts unavailability. Simulations train you to schedule resources, estimate downtime and secure corrective maintenance operations. You will conclude by capturing diagnostic knowledge to enrich a shared knowledge base and defining key indicators (MTBF, MTTR) to support predictive maintenance.
You will leave with a proven method, ready-to-use lessons-learned templates and the ability to convince management to invest in the right improvements, ensuring the reliability, safety and sustained performance of your mining equipment fleet.
Objectives
- apply a rigorous fault diagnosis methodology that goes beyond treating symptoms;
- use tools relevant to mining: fault trees, Ishikawa diagrams and PERT;
- conduct root cause analysis (RCA) to identify underlying failures;
- plan and prioritise corrective interventions, taking extraction and safety constraints into account;
- capture diagnostic knowledge to anticipate future failures and improve equipment reliability.
Program
Module 1: start the analysis and master diagnostic fundamentals
- Defining the challenges, objectives and fundamental concepts of maintenance troubleshooting methodology (hidden costs and production impact).
- Defining key diagnostic stages: from collecting symptoms to validating the cause.
- Using structured diagnostic tools: fault trees (Fault Tree Analysis – FTA), Ishikawa cause-and-effect diagrams and PERT to sequence analysis tasks.
Practical case study
- Analyse the application of a diagnostic method to a simulated common failure.
Module 2: conduct RCA and plan corrective interventions
- Conducting in-depth diagnosis (Root Cause Analysis) using the methods studied to identify the underlying cause rather than the symptom alone.
- Solving complex, recurring problems specific to mining (abrasive wear, vibration and thermal shock affecting heavy equipment).
- Optimally planning corrective maintenance: task scheduling, human and material resource allocation, and downtime estimation.
Practical case study
- Analyse the response to a major technical incident in mining (critical crusher or excavator failure).
Module 3: capture knowledge and anticipate future failures
- Capturing diagnostic knowledge to create and enrich a knowledge base and a library of solutions (lessons learned).
- Anticipating failures: defining performance indicators (MTBF, MTTR, failure rate), implementing monitoring and predictive maintenance principles.
- Intervention and reliability best practices drawn from shared experience.
Collaborative practical case study
- Analyse work management tailored to your real business challenges.
Audience
This course is intended for professionals directly involved in operating, maintaining and analysing system performance in mining, including:
- Maintenance and technical supervision personnel (mechanics, electricians, technicians).
- Engineers and project managers required to analyse system malfunctions.
- Any continuous improvement or incident analysis team in mining extraction and processing.
Prerequisites
This course requires the following prerequisites:
- Knowledge of maintenance in the mining sector: corrective/preventive maintenance concepts, familiarity with mechanical/electrical systems and mining-specific safety standards.
- Professional experience on a mining site: familiarity with extraction processes, specific equipment (crushers, conveyor belts, draglines, etc.) and operational constraints to gain the full benefit of the case studies.
Teaching and assessment methods
- Initial skills assessment
- Training materials provided to participants
- Continuous assessment throughout the course
- End-of-course feedback questionnaire
- Combination of theory and practical application
- Attendance records
- Post-course follow-up evaluation
- Quiz / multiple-choice questions
- Case study
Course highlights
- Sector expertise: the course focuses on mining challenges, ensuring relevant case studies and proposed solutions.
- Action-focused content: learning is based on practice, solving real problems and immediately applying diagnostic methods (RCA, Ishikawa, FTA).
- Expert, approved instructor: the instructor is a consultant with over 27 years of industrial experience, including 4 in mining, and is FDFP-approved/accredited, ensuring qualified knowledge transfer aligned with quality standards.
Dates and sessions
Choose the date and delivery format that suit you.
No upcoming sessions are currently available.