Teach on Udemy

Turn what you know into an opportunity and reach millions around the world.

Learn More

Your cart is empty.

Keep shopping

Mastering Reliability Mindset and Practices

Name: Mastering Reliability Mindset and Practices
Rating: 4.3 (7 reviews)

Reliability and RCM explained as never before. Know how to apply Reliability comprehensively and incrementally

Created byA Rezika

Last updated 4/2026

English

English [Auto],

What you'll learn

Measure the reliability of their equipment
Identify what is a reliable equipment or process and what is not
Improve Reliability of their equipment
Apply RCM analysis to sample equipment
Define where to use RCM and why

Course content

5 sections • 31 lectures • 5h 31m total length

Basic Reliability Mindset concepts7:46
Explore the true meaning of reliability, its measurement as a probability, and how maintenance and reliability teams apply tools and strategies to sustain designed capabilities.
How to know that an asset is reliable?6:04
Measure reliability through MTBF and maintenance KPIs, linking asset performance to operation context, parts reliability, and design values for inherent reliability and user satisfaction.
Cost of Reliability or cost of unreliability7:01
What is the ROI of reliability? and how to get enough data for it?
The Cost of Doing Nothing

What are the reliability measures that we can use?9:21
How can we express reliability in some measurable values? And, some ground rules for measuring reliability
Discrete probability simulation and importance of data16:54
Explore how discrete and continuous probabilities underpin reliability, compute survival over time using mean time between failure and failure rate, and introduce Weibull modeling and data-driven risk assessment.
Weibull distribution as a source of Reliability calculation13:31
Explore how the Weibull distribution underpins reliability calculations, including beta shape, eta scale, and gamma shift, and simplify to an exponential form for mean time between failures and reliability.
Practical Reliability calculation in different operation-maintenance situations17:38
Explore practical reliability calculations for complex systems, using mean time between failures, failure rate, and exponential distribution to assess series and parallel configurations and overall availability.
Indicators of Reliability12:28
Calculate availability, uptime, downtime, and unscheduled time to assess reliability; evaluate overall equipment effectiveness using availability, performance efficiency, and quality rate, and maintenance metrics such as mean time to repair.

What is RACI? And how to use it to ensure and build Reliability14:44
Use the raci framework to assign responsibility, accountability, consultation, and communication across design, operations, and maintenance, driving reliability through data, key performance indicators, and clear records.
Data framework8:19
Collect and accurately record data to build a reliable data framework. Validate, analyze, and act on data to drive maintenance decisions and strengthen reliability.
Data Analysis that will pin point the assets that needs more care17:18
Identify which assets need the most reliability attention using Pareto chart, histogram, run chart, radar chart, and risk matrix to convert data to information, maximize uptime, and minimize downtime.
Finding the Right Starting Point

Track 1: Quick Fixes for Reliability13:24
Identify feasible maintenance actions using quick fixes and root cause analysis to maximize uptime and minimize downtime, employing fishbone diagrams, five whys, and reliability centered maintenance.
Apply RCA: 5WHYS or fishbone with 8 M,
Track 2: Analyze more to enhance Reliability14:33
Apply failure mode and effects analysis and forecast within reliability centered maintenance to identify failure modes, analyze root causes, and implement smart, data-driven actions that boost uptime and reduce downtime.
Track3: What is RCM? The correct mindset to use RCM as a Reliability tool9:34
Drive reliability centered maintenance as a framework to achieve reliable equipment and processes, embracing culture change, seven questions, and information and decision worksheets to define maintenance requirements and system boundaries.
The Canteen Conversation
Track3: How to set System and subsystem borders?15:35
Define system and subsystem borders with the rcn process, starting with the end in mind to determine maintenance requirements and data levels, and map interlinks across subsystems.
Start Practicing – is a must - but using Demo Industrial Plant - is optional -3:45
Where Does the System Begin and End?
Track3: Functions12:24
Define the asset’s function via performance expectations and operation context in a reliability-centered maintenance framework, using measurable verbs to prevent function failures.
Let's define some functions - includes an RCM template
Track3: Do we all perceive the function failures in the same way?10:53
define each function clearly, then identify function failures and failure modes with measurable ranges across maintenance, operations, and safety perspectives.
Examples on how to find Functional Failures4:16
Track 3: Why there is more than one failure mode for a function failure? Part118:26
Learn to collect all logical failure modes behind a functional failure using reliability centered maintenance, root cause analysis, and predictive tasks to boost uptime and reduce downtime.
Track3: Failure Modes -Part2: Electric Panel Failure Modes Demo12:59
Explore an electrical distribution panel as a subsystem, define its boundaries, and brainstorm failure modes to safely isolate power, protect mechanical loads, and prevent upstream tripping in a practical demo.
Practical Steps to get Failure Mode (s)5:56
How Does It Actually Fail?
Track3: Failure Effects - The story16:27
Explore failure effects within the R.c.m framework by tracing how specific failure modes affect equipment and processes, and gather complete stories to identify root causes and guide proactive tasks.
How to collect FE STories2:39
Track3: Failure consequences, who will judge it?11:26
Assess failure consequences by collecting effects and applying codes—H for hidden, S for safety, E for environment, or N for none to inform proactive tasks and production-related default actions.
Process of Documenting Consequences3:04
Who Gets to Decide How Bad It Is?
Track3: A guide to task Selections - Part 113:33
Explore how to select maintenance tasks under reliability-centered maintenance, prioritizing proactive, predictive, or on-condition actions to reduce failure consequences and costs.
Track3: A Guide to tasks Selection - Part 215:55
Learn to distinguish predictive, on-condition, detective, and restoration tasks within a reliability-centered maintenance framework, using trends, data, and AI-driven analysis to plan maintenance decisions.
A Practical Stepped Guide to Task Selection3:05
What Are We Going to Do About It?

The Reliability mindset10:10
Adopt a reliability mindset by embracing a growth mindset, proactive analysis, and data-driven decisions in life and work. Collaborate, stay results-oriented, and pursue continuous improvement for long-term sustainability.
Work in Progress2:21
Reflect on your workplace, select a pilot area, and apply iterative reliability metrics (MTBF, availability) while using Pareto charts to target quick fixes or FMEA for maintenance optimization and uptime.

Requirements

Basics of maintenance techniques and strategies

Description

The Mastering Reliability Mindset and Practices course is designed to equip participants with a deep understanding of reliability calculation, strategies, principles and practical methodologies to enhance maintenance performance and asset performance. From quick fixes to reliability of your equipment to advanced analysis techniques, this course provides a comprehensive journey into the world of reliability engineering.

• The hands-on RCM material is restructured into full lectures with demo plant, making the progression from concept to application clearer and easier to follow.

• 7 role play sessions have been added. Each one places you inside a real reliability scenario — from justifying a budget to leading a failure consequence review — and lets you practice until you are confident, before applying these skills on the job.

The goal is simple: by the time you finish this course, you should not just know the tools. You should be comfortable using them under pressure, in front of real people, in real situations.

Course Outline:

1. Introduction to Reliability Concepts:

- Align mindset to the true meanings and practices of reliability.

- Understand the importance of reliability in asset management and operational efficiency.

2. Measuring Reliability:

- Learn how to measure reliability as a probability.

- Derive the reliability equation from Weibull distribution.

- Practical examples demonstrate measuring reliability in complex environments.

3. Data Analysis and focus tools

- How to prepare data for analysis?

- What tools will help us see and interpret the trends in data

4. Approaches to Reliability

The Quick Fix Approach:

- Implement Root Cause Analysis (RCA) techniques to identify and resolve reliability issues.

- Utilize Fishbone Diagrams to visualize root causes and their relationships.

The Analysis Approach:

- Master Failure Mode and Effects Analysis (FMEA) to proactively identify potential failure modes and their impacts.

- Implement Failure Reporting, Analysis, and Corrective Action Systems (FRACAS) to systematically track and resolve failures.

The detailed approach: Reliability-Centered Maintenance (RCM):

- Understand the RCM methodology and its significance in asset management.

- Learn to answer the RCM 7 questions and apply them to optimize maintenance strategies.

- Practical exercises on filling RCM information and decision sheets.

5. Implanting Reliability Mindset:

- Conclude with a lecture on cultivating a reliability mindset.

- Discuss strategies for embedding reliability practices into organizational culture.

- Explore the role of leadership in fostering a culture of reliability excellence.

Course Benefits:

- Gain a comprehensive understanding of reliability engineering principles.

- Know how to apply Reliability comprehensively and incrementally

- Acquire practical skills to analyze, assess, and improve asset reliability.

- Learn industry-standard methodologies to enhance operational efficiency and reduce downtime.

- Develop a mindset focused on proactive maintenance and continuous improvement.

- Receive expert guidance and real-world examples from experienced reliability professionals.

Who Should Attend:

- Reliability Engineers

- Maintenance Managers

- Asset Managers

- Operations Managers

- Maintenance Technicians

- Anyone involved in asset reliability and maintenance optimization

Join us in mastering reliability mindset and practices to unlock the full potential of your assets and drive operational excellence.

Who this course is for:

Beginners in the field of reliabiliy
Whoever want to apply RCM for the maintenance process

Mastering Reliability Mindset and Practices

What you'll learn

Explore related topics

Course content

Introduction4 lectures • 21min

Reliability Measurement and Indicators5 lectures • 1hr 10min

Preparations for Reliability4 lectures • 40min

Build and Improve Reliability23 lectures • 3hr 8min

The end point is the true start2 lectures • 13min

Requirements

Description

Who this course is for: