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 model.' If you have never heard of them before, or if you want a refresher, this webinar is for you.

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 webinar will help!

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