Accendo Reliability Webinar Series

You may already know my position on MTBF. If not, in short, do not use MTBF at all, ever, in any form. So what should we use instead. I suggest using reliability, the probability of success over a specific duration. Let’s discuss what will work for you.

Early and often during product development the team needs to know the expected reliability performance of the current design.

Selecting as supplier for components or subsystems involved many aspects including the desired reliability performance. Once selected the ability of the supplier to provide items that meet or exceed the reliability requirements relies on their understanding of the requirements and operational conditions related to the specific item within the system. It also relies on the suppliers knowledge of th...

A common request of reliability professionals is to design a set of reliability tests. Many rely on various standards such as 85°C / 85%RH, to determine if a system is reliable, yet the standards do not provide a means to translate the results to your specific situation.

When components fall outside specs the chance for quality and reliability issue increases. Let’s explore a couple of design and manufacturing cases where effectively using statistical process control will enhance your product’s reliability performance.

Tolerance specification communicates the allowance for part variation. Variation happens, and when within what we expect, great. Otherwise, quality and reliability issues ensue. Let’s explore how to properly set tolerances to improve reliability.

We work on projects to improve reliability. There may not be the field data immediately available. Let’s explore what you can do to improve the overall program while delivering on your project. Specifically, what’s with cost and procurement?

How do you use the Weibull Distribution? It’s just one of many useful statistical distribution we have to master as reliability engineers. Let’s explore an array of distribution and the problems they can help solve in our day to day work.

Looking for an inexpensive and powerful data analysis tool? R is free. R is an open source statistical programing language. Let’s explore R’s many capabilities concerning reliability statistics from field data analysis, to statistical process control.

Mastering the statistical tools related to reliability engineering allows you to master reliability. Identify, characterize, understand, predict, and improve reliability all require statistics.

Reliability Engineering is a daunting field. The technical breadth of skills spans material science to statistics. You also must communicate effectively with technicians to CEO’s. Learn to master reliability engineering for your organization and career.

Let's explore the range of possibilities and how you can select the right approach for each test. Getting meaningful results is important, as is minimizing testing costs, and getting results on time.

We often want to know if our product will work as expected in our customers environment. Creating an environmental test plan that clearly shows weaknesses and strengths should be part of your program for each product.

In this episode let's explore how to create plans and testing that actually helps your team improve the reliability of the products.

Each product development project is different. Different features, customers, use cases, and expectations. Let's discuss how to build a custom reliability program that fits your specific situation.

Let's explore setting clear and complete reliability goals. Consider both your customer and business expectations to create meaningful goals to guide your team's reliability decisions.

A brief introduction to reliability engineering management. Including an overview of key elements and approaches commonly found.

How to create a successful career in reliability engineering. Let's discuss the steps you can take today to build the career you want to achieve.

Let's explore the impact that chart selection and sample size have on chart sensitivity (the ability to detect changes).

Determine the value of reliability tasks both to predict the return on investment and to calculate worth after the fact.