
What is TRIZ and could it help you? We take a brief look and provide the basics of what it covers. Innovation is going to be key in the next several years as companies grow and emerge. [Read more…]
Your Reliability Engineering Professional Development Site
A listing in reverse chronological order of articles by:
by Perry Parendo Leave a Comment
What is TRIZ and could it help you? We take a brief look and provide the basics of what it covers. Innovation is going to be key in the next several years as companies grow and emerge. [Read more…]
by Perry Parendo Leave a Comment
Innovation is vital for company and economic growth. What is it? How can you achieve it? We begin to explore this with you.
by Perry Parendo Leave a Comment
Agile has gained popularity as a software development tool, however it has also been implemented in hardware situations. What is unique about it? What are the core principles? Can I use those ideas with my existing methods? This video answers those and many more questions. [Read more…]
In the article Process Capability I – Overview and Indices, the main process performance indices were defined. In the article Process Capability Analysis II – Estimating Percent Defective, ways to calculate the percent defective were introduced.
In this article, the mathematical connection between the Cp index and percent defectives is made.
by Perry Parendo Leave a Comment
A key characteristic of Design of Experiments is the resolution. This is a concept that is often misunderstood, or not understood at all. We have attempted to provide a quick discussion so a user can determine if they are at risk. [Read more…]
In my prior article, Process Capability I – Overview and Indices, the process capability concept was defined for prototype samples and serial production. The data is assumed to be normally distributed and Pp, Ppk, Cp, and Cpk indices were defined. Its application to one-sided and two-sided tolerances was discussed. This article provides methods to estimate the percent defective.
The engineering tolerance for a critical characteristic is 10±0.2. So the lower specification limit (LSL) is 9.8 and the upper specification limit (USL) is 10.2. A sample of 30 parts provided measurements of the critical characteristic. The sample mean ($-\bar{x}-$) was 9.951 and the sample standard deviation (s) was 0.1825.
Assessing the occurrence ranking is one of the more challenging aspects of FMEAs. This article presents problems that relate to occurrence risk assessment, based on a fictitious case study, and highlights a common mistake.
by Perry Parendo Leave a Comment
To be innovative, you need to resolve competing requirements. How does someone do that through testing? Over 20 years ago, we created a process that has worked for us and countless others when applying Design of Experiments. These tidbits may help you accomplish more in your new product development.
by Perry Parendo Leave a Comment
Recognizing the heartbeat of product development will allow organizations to make the most of their resources. Using the right tools, at the right time, will lead to improved designs. This video talks in detail about what the heartbeat is made up of.
How is a manufacturing process determined to be capable of producing parts that meet engineering requirements? Some, like the finish of a gear tooth are critical, while the roughness of a non-contact surface isn’t critical. The critical characteristics need to be identified and checked to determine if the process is capable.
This article defines the analysis concepts and indices.
Process capability assessments (PCA) start during the product development process and continue into series production. Prototype parts are created by a variety of methods, ranging from hand-crafted parts to short term manufacturing in a production intent process under factory conditions. The methods that are closest to series production are the most realistic.
by Perry Parendo Leave a Comment
There are several reasons why DOE could be used. This video will provide those reasons and provide the support behind it. The reasons are beyond the traditional ideas. [Read more…]
by Perry Parendo Leave a Comment
We have resolved many manufacturing issues. Why do I need DOE to do this? How can we better get to root cause? Each section below contains a 2-minute video to expand on the topic provided.
Design of Experiments is the best tool for resolving problems when our science and experience fails us. Even if we are right, we also need to prove our approach works to others. Today that includes proof with statistical confidence. We need to be efficient to reduce excessive prototypes, scrap and downtime.
by Carl S. Carlson 31 Comments
Some FMEA teams associate occurrence ranking with Failure Mode; others associate it with Effect. Still others connect associate it with Cause? Which is correct? This article discusses occurrence risk, including examples, and answers this question.
“Reality is not always probable, or likely.”
Jorge Luis Borges
by Perry Parendo Leave a Comment
Many companies talk about their desire for Innovation. Can Design of Experiments (DOE) help in that process? Each section below contains a 2-minute video to expand on the topic provided.
How often do we hear a design or process development team express optimism – “We are almost there!” And how long does that same response continue without progress? The key is to decide when we have tried long enough using informal methods. Predictability and confidence are important to achieve project success.
by Perry Parendo Leave a Comment
Many companies experience challenges during product development. Can Design of Experiments (DOE) help in that complicated set of activities? Each section below contains a 2-minute video to expand on the topic provided. [Read more…]