Your Reliability Engineering Professional Development Site
Chris and Fred discuss questions that are easy to ask … but hard to answer. And these questions are often hard to answer because the person asking the question hasn’t thought about the REAL question they are trying to answer. So how many samples do I need for everything to be OK???
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Welcome Ryan Sitton to the podcast. Ryan is the founder and CEO of Pinnacle Engineering and has spent a lot of time around reliability and production engineering. Notably, he is the author of “Crucial Decisions”; a book that we will discuss in the episode and how it applies to maintenance and reliability.
More about Ryan:
He has a mechanical engineering background and has worked at a gas company called Oxy and also worked as an Energy Regulator for the State of Texas. He has a PhD in Data Science and is the founder of Pinnacle Engineering.
Data Science has become an inevitable necessity in that; data plays a crucial role in what we tend to accomplish in our daily activities.
In this episode we covered:
Chris and Fred discuss what it means to have confidence in something. Confidence can mean all things to all people. How confident are you as a person? How confident are you in someone else? What confidence do you have in a conclusion? Statisticians and reliability engineers need to talk to each other where the term confidence has a clearly defined and fixed meaning. But does it? How confident are you in the results of a test? How confident are you in a test that has 75 data points versus one that has 70? How confident will your boss be in you when you present the outcomes of these tests? Have these tests shaken YOUR confidence? Best you listen to this podcast.
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Chris and Fred discuss data analysis … specifically the first question we ask before we help someone with their data analysis project. Chris always asks – what is the decision that this data analysis will support? And Fred always asks – where did this data come from? The reason these questions are important is that you need to know what information you need before you construct an analysis to get that information. And you need to be confident in the results. A single data set can potentially create multiple information sets. And this depends on how you construct the analysis. Which based on the decision. Listen to this podcast if you would like to learn more.
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