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 their own design and manufacturing processes as it related to the reliability performance.

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.