Anyone engaged in maintenance and reliability of equipment and machinery who is contemplating sitting for the SMRP Certification Exam to become a Certified Maintenance & Reliability Professional.

Anyone who is struggling with making an impact on company or plant performance and who wants to gain insights into the proven best practices of top performers in every industry.

Anyone who is interested in advancing their careers by bringing proven best practices to their own organization and contributing strategically to the organization’s financial performance.

Those who may be frustrated with working in a reactive maintenance work environment, constantly chasing today’s emergencies and never getting ahead.

You should attend if you are involved in operation, maintenance or reliability of industrial machinery and you are striving to make a positive impact on your plant’s or enterprise’s business performance.

The Advanced Reliability Analysis course is a follow on to the Maintenance and Reliability Best Practices course. This course takes a deeper dive into the various reliability analyses that are performed to manage assets during the operations and maintenance phase of the asset life cycle. The course begins with and overview of statistical and probability concepts and analytical techniques such as reliability block modelling and Weibull analysis. Students will learn how to use operational data to calculate various reliability parameters using Weibull analysis and other techniques. The course also includes post-failure analysis processes of Root Cause Failure Analysis (RCFA) and Fault Tree analysis (FTA). Statistical Process Control (SPC), Six Sigma, Failure Modes and Effects Analysis (FMEA), Reliability-Centered Maintenance (RCM), Benchmarking, Overall Equipment Effectiveness (OEE) and Total Productive Maintenance (TPM) are also addressed. It is recommended, but not required, that students take the Maintenance and Reliability Best Practices course before taking this course.

• Functional Reliability
• Reliability and Maintainability Terminology and Definitions
• Statistical Concepts and Probability
• Reliability Block Modelling
• Weibull Analysis
• Maintenance in the Operations Phase
• Reliability-Centered Maintenance
• Root-Cause Failure Analysis
• Fault Tree Analysis
• Statistical Process Control
• Six Sigma
• Total Productive Maintenance
• Overall Equipment Effectiveness (OEE)
• Benchmarking

Twenty-first century asset management includes a plethora of data, high demands on assets, and maintenance work force issues. These issues lead to unique challenges for asset managers. The use of various analytical techniques provides the basis for improved asset availability and reduced life cycle costs. The information learned in this course will help you become a better asset manager leading to increased asset performance and profits.

Asset Managers have many sources of data that provide information about the status and health of their assets. This data come from operational sources, maintenance tasks, predictive maintenance technologies and many other sources. However, data by itself is not useful until it is turned into information. This course will teach you various analytical techniques to convert your data into useful information. You will be given the opportunity to practice these techniques through group breakout sessions. The goal is to enhance your asset management capabilities to improve your overall equipment effectiveness.