Accendo Reliability Webinar Series

You may have heard of Statistical Process Control (SPC), 6-sigma, Shewhart, the Japanese Economic Miracle, X̅ – R Charts … or perhaps none of them.

Let’s explore the many ways we use, or should use, statistics in our engineering role. From gathering data to presenting, from analyzing to comparing

The essence of the idea behind the site is to provide our community with great content to help you solve problems, learn, and improve.

how do you go about telling a memorable story about a Weibull plot of field data? Or, a mean cumulative plot of a repairable system?

What is ‘supportability?’ Easy! It’s the ability of your product, system or service to be supported. But how do we get this so wrong so often?

Other than the situation where you build your product inside your customer’s facility, your product will require some form of transportation to move from your factory to your customer.

Then comes the part where we have to work out how many of them we need (if they make up a fleet) or how many spare parts we need to keep them running.

In order to create tests and results that are meaningful we need to both design and execute the test well, then most importantly, interpret the results accurately.

Failure is a random process. But just because something is random, doesn't mean it isn't predictable. A lot of reliability engineering comes down to being able to understand how something fails. And this understanding needs to extend (in some cases) to being able to predict when a certain fraction of things will fail, or how many spares you need. And this means that you need a 'reliability life mo...

Visit a vehicle scrap yard to witness the impact of ‘getting a new car’ has on the environment. Let’s explore the many ways creating a reliable product is beneficial to the environment.

Let’s explore the many reasons to conduct testing and how to clearly link those tests to the decisions that rely on the test results.

There comes a time in everyone’s reliability ‘journey’ where it is either too hard or too expensive to keep perfecting your product so make it 'fault tolerant.' This is not a shortcut, or admitting defeat. Redundancy is a classic case of fault tolerance. But we only want to design systems that can tolerate the LIKELY faults. Not every fault - that is over-engineering. So how do we do it? This webi...

Introducing and discussing the 7+ basic quality tools and uses in reliability-related work.

This webinar takes you through a framework to explore the understand the root cause of a failure

Let’s examine examples of each and how to engage to shift all conversations into the ‘good’ category. How those around us talk about reliability matters.

This webinar takes you through the key steps of decision-making – particularly relating to reliability engineering.

Design for Reliability is more than a set of tools or activities, let's explore the building of a reliability culture that support reliability thinking

Exploring ten reasons to do FMEAs, yet actually, reasons to do amazing FMEAs.

Let's explore the many elements that become inputs to creating a plan for your next accelerated life test.

How can you make reliability relevant in your organization - plus a few ways to know it is not relevant.

Let's explore a set of data with a Weibull plot and enjoy reliability making money

Acceleration factors translate one stress level to another, which is rather useful for accelerated life test interpretation.

you can use your brain to work out the right number of spares you need and save lots, and lots of money.

In my experience, there are three basic approaches to ALT: Test to pass, test to failure, and degradation testing. Each is good for specific situations

Looking Forward with Reliability Engineering is about understanding the decisions that the information we should create will inform.