Reliability Engineering Training for Mining & Heavy Industry
Expert-led, hands-on reliability engineering workshops delivered onsite to your team. From Weibull analysis and RCM to lifecycle cost modelling — practical training your engineers can apply from day one. Trusted by teams at Rio Tinto · Glencore · First Quantum · ExxonMobil · Caterpillar · Whitehaven Coal · Mineral Resources · Gold Fields
WHY IN-PERSON TRAINING?
Online courses teach theory. Onsite workshops build capability.
Your reliability engineers face site-specific challenges that generic training programmes cannot address. Our in-person workshops use your equipment data, your failure histories, and your operational context to embed real, lasting skills across your maintenance and engineering teams.
Your Data, Your Equipment Exercises and case studies are built around your actual asset failure data, fleet compositions, and operational conditions — not textbook examples. Your team works on problems they will face on Monday morning.
Team Alignment & Capability Building Train your reliability engineers, maintenance planners, and asset managers together in the same room. Build a shared language, a consistent analytical approach, and collective confidence to tackle reliability challenges as a team.
Practical Excel Tools & Templates Every participant leaves with a complete set of ready-to-use Excel templates for Weibull analysis, optimal maintenance intervals, spares calculations, lifecycle cost models, Monte Carlo simulation, and Jack Knife Diagrams. No expensive software licences required.
Built for Heavy Industry This is not generic product reliability training. Every example, every case study, and every exercise is drawn from real mining, mineral processing, oil & gas, and heavy manufacturing operations. Think haul trucks, crushers, conveyors, SAG mills, and processing plant equipment — not consumer electronics.
Immediate, Measurable Application By the end of the workshop, your team will have completed real analyses on your own site data — Weibull plots, maintenance interval calculations, spares recommendations, or lifecycle models — that can be implemented immediately. This is not training for training's sake.
Delivered Anywhere in the World We deliver onsite training at your mine site, processing plant, or corporate office anywhere in Australia — Perth, Brisbane, Sydney, Melbourne, and regional mining centres — as well as internationally across Papua New Guinea, Africa, South America, Southeast Asia, the Middle East, and beyond.
TRAINING CURRICULUM
Eight focused modules covering the complete reliability engineering toolkit for heavy industry — from statistical failure analysis through to maintenance strategy optimisation and condition monitoring. Each module combines theory, worked examples, and hands-on exercises using Excel-based tools that participants keep and use on their own data.
Module 1: Reliability Engineering Foundations
The training begins by grounding your team in the business case for reliability engineering and why it matters to operational performance in heavy industry. Participants learn why engineered systems fail, the core failure patterns and mechanisms that drive equipment losses, and how to quantify reliability using industry-standard metrics.
Topics covered:
The business case for reliability engineering in mining and heavy industry
Why engineered systems fail — failure mechanisms, degradation modes, and the bathtub curve
Key reliability metrics: MTBF, MTTR, availability, failure rate, and reliability function
Overview of reliability analysis techniques and when to apply each one
Module 2: Weibull Analysis
Weibull analysis is the most powerful and widely used statistical tool in reliability engineering. This module takes participants from the fundamentals of the Weibull distribution through to hands-on analysis of real failure data. Participants learn to estimate Weibull parameters, interpret shape and scale values to understand failure behaviour, and use Weibull plots to make informed maintenance and design decisions.
Topics covered:
Weibull distribution theory, probability density, and cumulative distribution functions
Parameter estimation: interpreting the shape parameter (β) and scale parameter (η)
Hands-on Weibull plotting and analysis exercise using the provided Excel template
Case study: applying Weibull analysis to real equipment failure data from heavy industry operations
Module 3: Calculating Optimal Maintenance Intervals
Preventive maintenance is only effective when the interval is right. Too frequent and you waste money; too infrequent and you accept unnecessary failure risk. This module teaches participants a quantitative framework for determining the cost-optimal preventive maintenance interval by balancing the cost of planned replacement against the cost of unplanned failure.
Topics covered:
The optimal maintenance interval framework — theory and derivation
Quantitatively balancing failure risk against maintenance cost
Hands-on exercise: calculating optimal maintenance intervals for your own equipment using Excel
How to present and justify interval recommendations to operations and management stakeholders
Module 4: Spares Management & Inventory Optimisation
Holding too many spares ties up capital; holding too few puts production at risk. This module teaches participants how to calculate the right spares holding for critical components based on failure probability, lead time, and consequence of stockout. The result is a defensible, data-driven spares recommendation that balances cost against operational risk.
Topics covered:
Spares management principles for heavy industry and mining operations
Calculating required spares holdings based on failure rate, lead time, and acceptable risk
Optimising inventory levels to balance holding cost against production risk
Spares management case study with the provided Excel template and real operational data
Module 5: Lifecycle Cost Modelling
Every piece of capital equipment has a finite economic life. This module equips participants with the analytical tools to determine when to repair, when to replace, and how to build a lifecycle cost model that supports capital equipment decisions with data rather than intuition. The module also introduces Monte Carlo simulation as a tool for modelling uncertainty in lifecycle and reliability analyses.
Topics covered:
Capital equipment replacement analysis — the theory and decision framework
Calculating the optimal replacement time for ageing assets
End-of-life strategy development: repair, refurbish, or replace?
Introduction to Monte Carlo simulation for reliability and lifecycle uncertainty modelling
Hands-on lifecycle cost model exercise using the provided Excel template
Module 6: Reliability Centered Maintenance (RCM)
Reliability Centered Maintenance is a structured framework for determining the most effective maintenance strategy for each asset based on its failure modes, consequences, and operating context. This module covers the principles of RCM, the seven core questions, and how to apply RCM practically to develop optimised preventive maintenance programs for mining and processing equipment.
Topics covered:
RCM principles — the seven core questions and the RCM decision logic
Failure modes, effects, and criticality analysis (FMECA) as the foundation of RCM
Developing optimised preventive maintenance programs from RCM outputs
Practical RCM application for mining, mineral processing, and heavy industrial assets
Common pitfalls in RCM implementation and how to avoid them
Module 7: Condition Monitoring
Condition monitoring enables organisations to move from time-based to condition-based maintenance, intervening only when equipment condition warrants it. This module introduces participants to the key condition monitoring technologies used in heavy industry, how to interpret results, and how to integrate condition monitoring data into a broader reliability and maintenance strategy.
Topics covered:
Vibration analysis fundamentals — basic theory, measurement, and fault detection
Detecting common machinery faults: imbalance, misalignment, bearing defects, gear wear
Oil analysis and thermography — principles, applications, and interpretation
Introduction to machine learning applications in predictive maintenance
Integrating condition monitoring into your maintenance strategy and RCM framework
Module 8: Downtime Prioritisation — Jack Knife Diagrams
Not all downtime is created equal. Jack Knife Diagrams are a powerful visual tool for prioritising equipment reliability improvement efforts by separating chronic, low-severity losses from acute, high-impact failures. This module teaches participants how to build, interpret, and act on Jack Knife Diagrams using their own site downtime data.
Topics covered:
Building Jack Knife Diagrams from raw downtime and failure event data
Interpreting the four quadrants: identifying chronic vs. acute equipment losses
Prioritising reliability improvement and defect elimination opportunities
Hands-on exercise: building a Jack Knife Diagram with the provided Excel template and your site data
WHO THIS TRAINING IS FOR?
Designed for the People Who Keep Assets Running.
Whether you are upskilling a newly appointed reliability engineer or aligning an entire maintenance department around a common analytical framework, this training is structured for technical professionals across all experience levels in asset-intensive industries. No formal prerequisites are required — just a willingness to learn and a working knowledge of Excel.
Target roles: Reliability Engineers · Maintenance Engineers · Asset Managers · Maintenance Planners · Mechanical Engineers · Electrical Engineers · Maintenance Superintendents · Operations Managers · Plant Engineers · Condition Monitoring Analysts · Process Engineers · Graduate Engineers
Industries we serve:
Mining & mineral processing
Oil & gas production and refining
Power generation & utilities
Heavy manufacturing
Mineral sands & quarrying
Water & wastewater infrastructure
Transport & logistics infrastructure
Smelting & refining
Chemical processing
Port & bulk materials handling
FLEXIBLE DELIVERY
How We Deliver Training to Your Team
Every training engagement is tailored to your organisation's needs. We work with you to determine the right format, duration, and content focus — then deliver a workshop that addresses your specific equipment, your data, and your operational priorities.
Onsite at Your Facility We come to you. Training is delivered at your mine site, processing plant, workshop, or corporate office. Running the workshop in your operational context means participants can reference real equipment, discuss site-specific challenges with the instructor, and begin applying their learning before the workshop is over.
Customised Curriculum Choose the full five-day program covering all eight modules, or select a focused two-to-three-day workshop targeting specific areas your team needs most. Common customisations include a deep-dive into Weibull analysis and maintenance interval optimisation, an RCM-focused workshop for teams about to undertake maintenance strategy reviews, or a lifecycle cost modelling intensive for engineering teams managing ageing fleets. We can also incorporate your own equipment data into the exercises so participants work on real problems, not hypothetical ones.
Australia & Global Delivery We deliver in-person reliability engineering training across Australia — including Perth, Brisbane, Sydney, Melbourne, Adelaide, and regional mining centres in Western Australia, Queensland, New South Wales, and South Australia. Internationally, we deliver training in Papua New Guinea, West Africa, East Africa, Southern Africa, South America, Southeast Asia, the Middle East, and Central Asia. If your team is there, we can be there.
PROVEN IMPACT
Training That Translates to Measurable Results
Over 1,000 engineers from major mining and industrial companies worldwide have completed our reliability engineering training program. Participants consistently rate the training as the most practical and immediately applicable reliability course they have attended.
FREQUENTLY ASKED QUESTIONS
Everything You Need to Know About Our In-Person Reliability Engineering Training
What topics does the in-person reliability engineering training cover? The training covers eight core modules: reliability engineering foundations and metrics, Weibull analysis, optimal maintenance interval calculation, spares management and inventory optimisation, lifecycle cost modelling including Monte Carlo simulation, Reliability Centered Maintenance (RCM), condition monitoring covering vibration analysis, oil analysis, and thermography, and downtime prioritisation using Jack Knife Diagrams. All modules include hands-on exercises using Excel-based templates that participants keep.
Who should attend this reliability training? The training is designed for reliability engineers, maintenance engineers, asset managers, maintenance planners, mechanical and electrical engineers, maintenance superintendents, operations managers, plant engineers, condition monitoring analysts, and graduate engineers working in mining, oil and gas, power generation, heavy manufacturing, and other asset-intensive industries. No formal prerequisites are required.
Can the training be delivered at our mine site or facility? Yes. All in-person reliability engineering training is delivered onsite at your facility, whether that is a mine site, processing plant, workshop, or corporate office. We deliver training across Australia including Perth, Brisbane, Sydney, Melbourne, and regional mining centres, as well as internationally in Papua New Guinea, Africa, South America, Southeast Asia, the Middle East, and beyond.
How long is the in-person reliability engineering course? Training programs range from two to five days depending on the scope and depth your team requires. You can choose the full comprehensive program covering all eight modules, or a focused workshop targeting specific areas such as Weibull analysis and maintenance interval optimisation, RCM and maintenance strategy development, or lifecycle cost modelling and capital equipment replacement decisions.
Can the curriculum be customised to our operations? Absolutely. We tailor the content, case studies, and exercises to your specific industry, equipment fleet, and operational challenges. Where possible, we work with your team's actual failure data and asset information so that participants are solving real problems during the workshop, not working through hypothetical examples.
Do participants receive tools and templates? Yes. Every participant receives the complete set of practical Excel-based templates and tools for Weibull analysis, optimal maintenance interval calculation, spares management, lifecycle cost modelling, Monte Carlo simulation, and Jack Knife Diagrams. These templates are ready to use on your own site data immediately after the workshop.
What is the minimum group size for onsite training? We typically deliver onsite training for groups of five or more participants. For smaller teams, we can discuss options including combining your group with another organisation in the same region, or recommending our self-paced online course as a foundation before a shorter in-person workshop.
Are there any prerequisites for the training? No formal prerequisites are required. The course is designed for practicing engineers and maintenance professionals across all experience levels — from graduate engineers entering their first reliability role to experienced practitioners looking to sharpen their analytical toolkit. A working knowledge of Microsoft Excel is helpful but not essential.
Ready to Build Reliability Capability in Your Team?
Tell us about your team, your site, and your reliability goals. We will put together a tailored training proposal within 48 hours.