
FMEA and Hazard Analysis
Abstract
Carl and Fred discuss a reader question about FMEA and Hazard Analysis and whether or not they can be combined into a single analysis.
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Your Reliability Engineering Professional Development Site
by Carl S. Carlson Leave a Comment

Carl and Fred discuss a reader question about FMEA and Hazard Analysis and whether or not they can be combined into a single analysis.
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by Christopher Jackson Leave a Comment

What is a ‘root cause’ of failure? It is something that you did (or didn’t) do that ultimately resulted in failure. It’s not corrosion (that’s a physical process that follows the laws of nature that you can’t change). It’s not a porous seal that allows moisture to enter your product to cause corrosion (that’s a defect or fault that you or your team made happen). Root Cause Analysis (RCA) is the process where we systematically work out what things we did or didn’t do that allowed failure to occur, and Fault Trees are often very helpful in finding this root causes. If you want to learn more about RCA or how fault trees can help RCA, join us for this webinar.
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by Mike Konrad Leave a Comment

Statistics, at its core, is the science of making sense of data. From predicting trends and making informed decisions to ensuring quality control and optimizing processes, the applications of statistics are vast and varied. In the electronic assembly industry, where precision and reliability are paramount, statistical techniques become indispensable tools for engineers, manufacturers, and quality assurance professionals alike.
Join us as we unravel the complex yet captivating connections between statistics and the truth. We’ll delve into real-world case studies, and uncover the statistical principles that ensure the decisions we make every day are based on facts, accurate data, and accurate statistics.
In today’s episode, we’re also going to tackle some common myths associated with statistics and shed light on how misinterpretation of data can lead to false conclusions. Many people think of statistics as infallible, a definitive answer to every question posed by data. However, this couldn’t be further from the truth. Statistics is a powerful tool, but its effectiveness hinges on proper application and interpretation.
We’ll discuss myths such as “Correlation equals causation,” where the mere relationship between two variables is often mistaken for one causing the other. We’ll also address the misconception that a larger sample size always guarantees accurate results, and how ignoring the context or the source of data can lead to misleading outcomes.
Moreover, we’ll explore real-world examples where statistical missteps have led to costly errors and how these pitfalls can be avoided through rigorous analysis and critical thinking. By understanding these common misconceptions and learning how to approach data critically, you’ll be better equipped to harness the true power of statistics.
by Carl S. Carlson Leave a Comment

Carl and Fred discuss the challenges of hidden reliability problems, especially issues that are certain to occur, but not easily observed. When failures are invisible or hidden, they can be missed or ignored.
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Greg and Fred discuss why risk is becoming a personal issue to home owners and to all of us. They discuss aging infrastructure risk, who pays, and how to mitigate these risks.
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How do you balance customer wants with project constraints? If your customer-facing teammates are saying our customers want this, that and the other thing, which ones do we prioritize over others?
Not all features are equal in the eyes of our customers. And not all features are value-added, either.
In this episode, we delve into how to prioritize customer wants using the powerful Kano Model, a tool that maps customer satisfaction against the implementation of product features.
You’ll learn how to differentiate between essential and non-essential features, ensuring that your design truly resonates with your customers. This episode walks through the intricacies of the Kano Model’s two-by-two matrix and the different satisfaction levels represented by various lines and curves.
Too complex? We break it down. Prioritize your features based on their impact to the customer using their voice. Then, consider how well you want to implement that in your design using the Kano Model.
Get ready for practical tips and proven strategies to enhance your product’s value while managing cost, time, and design trade-offs. This episode is an introduction to the Kano Model for design.

Greg and Fred discuss quality from engineering and quality points of view. Greg is developing AI engineering applications. Greg wants to build, ship, and monetize. Fred wants to build quality in. What do you think is the right way?
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by Christopher Jackson 2 Comments

Past Good and Bad Knowledge
Chris and Fred discuss the so-called ‘bedrock documents and statistics’ that are used over and over again as if they are universally correct – even though they might have nothing to do with ‘your’ machines or systems. WHY?
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by Fred Schenkelberg Leave a Comment

Professional development is not about pursuing a degree or title. It’s about what you can do with your knowledge. Of course, that is my opinion. Some seek credentials that may lead to a new position or opportunities. Some seek knowledge without intending to use it – education for education’s sake.
Whatever the motivation, we should approach learning meaningfully. Set objectives, do the homework, get feedback or coaching, and establish a routine to continue to hone your knowledge. Whether you want to learn something out of curiosity or master a topic to accomplish a task, you can plan to use your time efficiently.
Let’s explore how to improve your ability to learn and continue to learn throughout your career. As reliability engineers, there seems to be a never-ending list of concepts, failure mechanisms, novel materials, etc., that we can and should know about. With so many options for professional development, let’s examine a few principles and tips so you can learn and master what you desire to learn and master.
by Christopher Jackson 4 Comments

Chris and Fred discuss the three-letter acronym ‘MLE’ stands for? Well, it stands for ‘maximum likelihood estimate.’ Ever heard of it? Do you know what it means?
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Kirk and Fred discuss the impact of the Internet of Things (IoT) on maintenance and the data feedback to the manufacturer on usage and failure data.
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by Dianna Deeney Leave a Comment

Our team is saying “No” to our co-work session.
We want to have a working meeting with them to get important information and make decisions. Since they declined, now we are missing an important viewpoint and source of design inputs! Plus, it could prove disastrous, later, when we have a pass/go decision on our concept designs.
In this week’s episode we talk about ways to overcome this challenge, beyond typical schedule availability. Tune in as we uncover practical strategies that make co-working sessions truly valuable which will help us in maximizing meeting value and participation.
by Mike Konrad Leave a Comment

In today’s episode, we’re exploring automated optical inspection (AOI) and x-ray inspection technology within the electronic assembly industry.
Joining us are two experts who bring a wealth of knowledge and experience to the table.

Kirk and Fred delve into the crucial topic of managing returned parts and products, even those that are functioning perfectly.
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by Philip Sage Leave a Comment

Philip and Fred discuss some of the basic differences and similarities between these two types of statistical toolsets.
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