IoT and Reliability

[Read more…]

Bathtub Curve Misconceptions with Dane

[Read more…]

Six Sigma and Reliability II

[Read more…]

RCM Task Selection and Frequency

[Read more…]

What is RCM?

[Read more…]

Condition Monitoring and Their Benefits

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 important thing any Condition Monitoring Tech or engineer can do is to ensure that the recommendations are implemented and the assessment is closed out i.e. the root cause is identified which makes Scott and his team highly efficient and reliable.

You can learn more about Scott at https://thermalign.com.au/ and reach out to him via Email or LinkedIn.

[Read more…]

Six Sigma and Reliability

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 matter.

If you would like to learn more about Six Sigma and how to get started on your journey of implementing Six Sigma, you can contact him via LinkedIn.

[Read more…]

Reliability Culture

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 a chat on Reliability feel free to get in touch with me either through LinkedIn (https://www.linkedin.com/in/akshay-athalye-cmrp-cre-63555ba3/) or send me an email on akshay.athalye2@gmail.com

[Read more…]

Continuous Improvement with Anthony Natoli

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.linkedin.com/in/anthony-natoli-50038166/) or email him at (anthony.natoli@ccep.com).

[Read more…]

What is Weibull Distribution?

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.

You can get in touch with Dane via LinkedIn (https://www.linkedin.com/in/daneboers/) or send him an email at dane@modla.co

[Read more…]

Discrete Event Simulation and Risk Matrix

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 Andrew provides his perspective on how we approach these problems to create a solution based on Discrete Event Simulation.

You can get in touch with Andrew Kelleher on LinkedIn:

https://www.linkedin.com/in/andrew-kelleher-ab5602127/

[Read more…]

Binomial and Poisson Distribution

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%20Probability%20Distributions%20Used%20in%20Reliability%20Engineering.pdf

[Read more…]

What is Asset Management?

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 get started on the journey with AM, visit: https://gfmam.org/

[Read more…]

Work Order Data and its Impact on Reliability

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 touch with Harish (linkedin.com/in/harish-lala-22566942)

[Read more…]

Statistics for Reliability Engineers

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 (linkedin.com/in/luke-de-jager-2461b473)

[Read more…]