Reliability Fundamentals Workshop
Learn to Calculate, Specify, and Improve Asset Performance
A full day virtual workshop that builds the capability to measure reliability, write clear requirements, and improve asset performance. The session is instructed by Ramesh Gulati.
Reliability Fails When It Is Not Defined, Measured, or Communicated Clearly
Reliability is often discussed but rarely quantified in the engineering discipline. Organizations struggle to define what reliable performance truly means, calculate it accurately, and translate expectations into specifications and improvement plans that teams can act on. This workshop provides a clear and practical foundation in reliability engineering principles for maintenance, operations, and asset management professionals. Participants will learn to calculate reliability using proven methods such as MTBF, failure rates, and failure distributions, specify reliability requirements for equipment and systems, and use reliability data to guide design, operations, and sustainment decisions.
Workshop Outline
1. Why Reliability Matters
A clear look at the true cost of unreliability and its impact on safety, quality, and productivity.
2. What Reliability Really Means
A practical explanation of reliability, common misconceptions, and how failures behave across assets and systems.
3. Core Reliability Calculations
Essential methods every professional must know, including MTBF, MTTR, failure rate λ, and the reliability function R(t).
4. Hands On Reliability Exercises
Guided calculation work that builds confidence in MTBF, mission time reliability, and basic reliability modeling.
5. Writing Effective Reliability Requirements
How to create clear, measurable requirements and allocate reliability across systems and components.
6. Reliability Block Diagrams
A simple approach to modeling system reliability using series and parallel configurations.
7. Improving Reliability Performance
Practical methods for eliminating failures, optimizing PM programs, and applying condition monitoring and predictive tools.
8. Using Data to Drive Decisions
How to improve CMMS and EAM data quality, interpret leading and lagging indicators, and identify chronic failures.
9. Building a Reliability Roadmap
A structured plan for prioritizing assets, implementing quick wins, and creating a reliability scorecard.
10. Leadership and Culture
The behaviors, governance, and accountability practices that sustain reliability improvement.
11. Closing and Next Steps
Key takeaways and guidance for continuing your Reliability Excellence journey.
Designed for Professionals Responsible for Asset Performance and Lifecycle Decisions.
Maintenance Professionals
Reliability Engineers
Asset Managers
Operations Leaders
Anyone responsible for equipment performance or lifecycle decisions