Understanding Customer Reliability Needs
Abstract
Chris and Carl discuss reliability management.
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SOR 559 Reliability Management Ramblings Part #1
Optimizing Servicing Intervals and Witchcraft. There actually is a difference.
Optimizing Servicing Intervals and Witchcraft. There actually is a difference.
podcast episode with speaker Chris Jackson
Have you ever wondered if your servicing intervals are ‘good’? Do you know what ‘good’ is? Are you servicing too much or too little? What happens if you service too much? Do you use some basic equations in textbooks and plug in numbers that seem too simple and basic, AND you don’t understand them (all at the same time)?
If you have asked yourselves any of these questions, then this is the webinar for you. A really simple, never done this before. Please join me in the discussion on what it actually means to optimize servicing intervals. [Read more…]
3 Ways to do Reliability Allocation #5
This is our fifth article about the 3 ways to do reliability allocation. We have been taken on a journey through the reliability design cycle, key steps for reliability allocation, allocation factors used to get these goals and key pitfalls. Now we finish off our conversation by looking at a few variations and applications. Allocating MTBF (… though we recommend against it), allocating availability, allocating maintainability (… another thing we recommend against) and allocating for different system reliability goals.
If you want to finish off your understanding of reliability allocation – read this!
SOR 548 Leaders, Champions, and Managers
Leaders, Champions, and Managers
Abstract
Chris and Fred discuss what a leader, champion and manager are. Many textbooks, guidebooks and so-called ‘domain experts’ tell us what (for example) a ‘reliability leader’ is. In some cases the ‘reliability leader’ is someone who has little influence, and is more of an ad hoc ‘doer.’ Not a leader. Why is this? Listen to this podcast to hear more about this?
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SOR 547 When and Why Around Assumptions
When and Why Around Assumptions
Abstract
Chris and Fred discuss assumptions – and when you need to check if they are valid. And if you do need to … how do you check these assumptions? Reliability (and all sorts of other engineers) need to study variation and variance. We are often interested in when the first ‘5 percent’ of things will fail. So assumptions on the underlying failure (or random) process are crucial. Sound familiar? Listen to this podcast to learn more.
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3 Ways to do Reliability Allocation #4
This is our fourth article about the 3 ways to do reliability allocation. The first three articles describe the reliability design cycle and how reliability allocation is a part of this cycle. Our last article focused on what options you, as a design team leader, have at your disposal when you realize that your components aren’t on track to meet their allocated goals (or doing something!) Now we talk about working out what these allocated goals are. And how to get them. And don’t worry – it is much easier than you probably think!
If you want to learn more about a straightforward approach to reliability allocation – read this!
PDFs, CDFs, and other ‘Fs’ — What the hell are they?
PDFs, CDFs, and other ‘Fs’
What the hell are they?
podcast episode with speaker Chris Jackson
Ok. They say there are lies, damn lies, and statistics. At the heart of statistics are these intimidating functions like ‘probability density functions’ and ‘cumulative distribution functions.’
They mean something – but are practically useless unless they help inform a decision. And we, as engineers, are supposed to know what these functions mean. But have you ever sat in a meeting or presentation where you realized some gaps in your knowledge? … or perhaps you felt like you were given too many charts but not enough help to make your decision?
If you want a really easy introduction or review of these functions – then check out this webinar!
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SOR 542 Setting Up to Report Monthly Failure Rates
Setting Up to Report Monthly Failure Rates
Abstract
Chris and Fred discuss how we need to estimate monthly failure rates of a product. Like when bosses or directors want to know what the ‘failure’ or ‘return’ rate of a product is this month. But is this useful? How do we account for the number of products we have shipped? How old are the products when they fail? And how do we learn from these numbers? Can we even find a number? Listen to this podcast to learn more.
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3 Ways to do Reliability Allocation #3
This is our third article about the 3 ways to do reliability allocation. In the first article, we set the scene. We talked about the reliability design cycle that needs to be implemented to make sure what we do will actually work. Will actually matter. In the second article, we cover the six steps of reliability allocation. In this article, we go through the six steps of reliability allocation.
You should have already read these articles – and if you haven’t please do! Once we have our reliability design cycle up and running, there are six key steps to making reliability allocation happen. And this article is about the sixth step – doing something!
If you want to learn more about a straightforward approach to reliability allocation – read this!
SOR 541 History of Reliability Part 3
History of Reliability Part 3
Abstract
Chris and Fred continue the discussion on the history of reliability engineering. The discussion started with Chris and Adam (you can click here to listen to it) and kept going with Chris and Carl (and you can click here to listen to it). Between all of them, they came up with 8 reliability engineering epochs. Now it is Fred’s turn to work out what has been missed, and what all of this means what reliability engineering looks like in the future.
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SOR 540 History of Reliability Part 2
History of Reliability Part 2
Abstract
Chris and Carl continue the discussion on the history of reliability engineering. The discussion that started with Chris and Adam (you can click here to listen to it). In the short time they had to talk about it, they came up with 6 reliability engineering epochs. Now Carl is going to see if there is anything to add – and importantly – anything to learn.
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SOR 539 History of Reliability Part 1
History of Reliability Part 1
Abstract
Chris and Adam discuss the history of reliability engineering. Everyone (customer, manufacturer, builder) has different ideas of what reliability is. And this has changed throughout history. Perhaps we can learn something from what reliability engineering has also changed throughout history. As they say – those who don’t learn from history are destined to repeat it. This is the first of three podcasts that look at the history of reliability for this purpose: seeing what we can learn to help reliability engineering now and tomorrow.
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3 Ways to do Reliability Allocation #2
This is our second article about the 3 ways to do reliability allocation. In the first article, we set the scene. We talked about the reliability design cycle that needs to be implemented to make sure what we do will actually work. Will actually matter. In this article, we go through the six steps of reliability allocation. You need to do the preparation work first. But … we are all about keeping it simple. Making it exhaustive and complicated means you are wasting your time.
If you want to learn more about a straightforward approach to reliability allocation – read this!
SOR 535 Did RAMS Deliver on this Year’s Theme?
Did RAMS Deliver on this Year’s Theme?
Abstract
Chris and Joe Bell from G2OPs talk about systems engineering and how it relates to reliability engineering. Joe and his team focus on Model Based Systems Engineering (MBSE) and was hoping to learn more about reliability and MBSE at the 2020 Reliability and Maintainability Symposium (RAMS). Was RAMS successful in helping out Joe? Listen to this podcast to learn more.
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Weibull Probability Plotting
Weibull Probability Plotting
How to learn more by just looking!
podcast episode with speaker Chris Jackson
If you are a reliability engineer – chances are you have done a Weibull plot. You take something like failure data, put it into a piece of software, and presto! [Read more…]
