Reliability - It Matters!

In this episode, I had a great discussion with Dane Boers from Modla about the misconceptions about the bathtub curve and the 6 failure patterns. The bathtub curve has been at the foundation of nearly every Reliability course and is the first introduction for any new Reliability Engineer, however, the underlying assumptions are never discussed. Dane and I speak about these assumptions and how they...

In this episode, I continued my conversation with Sandeep Jadhav from where we left off in our previous podcast together. We took a deeper dive into concepts of Six Sigma such as 1.5 Sigma Shift, Design for Six Sigma, and the impact of IoT 4.0 on how we approach Six Sigma principles. If you want to learn more about Six Sigma you can get in touch with Sandeep through LinkedIn .  

In this episode, I speak with Adam Armstrong from KPMG about the process of selecting a maintenance task using the RCM process. We also explore how we determine the appropriate frequency for the task. We also talk about the importance of defining your failure mode correctly and how it impacts task selection, and some of the common misconceptions of RCM specifically, you always need failure data to...

In this episode, I speak with John Seaman, who answers my questions about RCM. He simplified the RCM methodology and provided some extraordinary explanations of what RCM is and what it is not. We also discussed the difference between Failure Mode Effects and Criticality Analysis (FMECA) and RCM, where RCM is the continuation of the FMECA process and answers how the failure matters and what can be...

In this episode, I speak with Scott Henderson all about Condition Monitoring. He provides an great understanding of the different Condition Monitoring techniques, the P-F interval and the techniques which give us the maximum warning time. We talk about how important it is to consider not just the cost of performing the maintenance but to take into account the consequences of failure. The most impo...

In this episode, I speak with Sandeep (Sunny) Jadhav about Six Sigma and its importance to Reliability. Sandeep provides some great examples of how he has helped his units understand concepts of Six Sigma such as Hypothesis testing, p-value, Statistical Process Control, and the like. He is on a mission to educate people on the benefits of Six Sigma and shares his perspective and expertise on the m...

In this episode, I speak with Harish about implementing a Reliability culture and discuss some of our experiences. We also talk about what can be done to implement a culture where Reliability improvement initiatives are accepted and championed. If you want to contact Harish, you can do so via LinkedIn ( https://www.linkedin.com/in/harish-lala-22566942/ ). If you have any questions, or want to have...

In this episode, I speak with Anthony Natoli and talk about Continuous Improvement (CI). He shares his experiences and the journey the site has taken to reach a level of maturity where they have now embedded the CI practices and can see the benefits. Anthony shares the challenges, his learnings, and how they started the CI journey.  You can get In touch with Anthony via LinkedIn(https://www.l...

In this episode, I speak with Dane Boers and discuss Weibull distribution. He provides some great examples to explain the different parameters of Weibull distribution, the characteristic life, and the shape parameter. I never thought that it could be made simple! We also talk about how we can use the outputs from a Weibull Analysis i.e. the probability of failure, to prevent equipment downtime. &n...

In this episode, I speak with Andrew Kelleher, MD at RAMS Mentat GmbH on his take on the use of Risk Matrix and how he sees the benefit of not using one for making optimum decisions. We discuss the importance of performing simulation to assess the needs of a system and to determine appropriate maintenance and sparing strategies.  We trivialize complex issues when there are no formal tools and...

In this episode, I welcome Luke back to the podcast. We discuss what Poisson and Binomial distributions are, and what their applications are in the industry and specifically for Reliability Engineers.  If you want to learn more about Probability Distributions Used in Reliability Engineering then please check out this free paper: https://crr.umd.edu/sites/crr.umd.edu/files/Free%20Ebook%20Proba...

In this episode, I speak with Shane Scriven and try to break down Asset Management(AM). We talk about AM and how it interacts with Systems Engineering and Reliability Engineering. I try to challenge if organizations can work without AM and rely on the discrete application of Systems Engineering, Reliability Best Practices, and LEAN.  If you want to read more about Asset Management and how to...

In this episode, we discuss the importance of collecting good quality information for your work orders, what is considered as good quality information and how that has an impact on the Reliability of the asset. We also discuss how important it is to have a well-established Asset Hierarchy. To learn more about the use of Fault Codes you can refer to ISO 14224. If you'd like to learn more, get in to...

In this episode, we speak with Luke De Jager about Statistics and how much of it is necessary for Reliability Engineers. Understanding of Statistics remains an important aspect of any Reliability Engineers job. We talk about different distributions, why not use MTBF, and what is required to perform a good data analysis. If you want to get in touch with Luke, you can contact him via LinkedIn( linke...

In this episode, I speak with Shane about Lubrication and some best practices that an organization can implement. We also discuss the relationship between Lubrication Management and Asset management standards as a way to maximize benefits and what we can do to increase the competency of our workforce.  To check out more on ISO550001 standard: https://www.amcouncil.com.au/knowledge/what-is-ass...

In this episode I talk about why I wanted to start this podcast and how I intend to help others learn about Reliability and de-mystify the common misconceptions.