Your Reliability Engineering Professional Development Site
A listing in reverse chronological order of articles by:
How can I tell when I have a situation that could benefit from Design of Experiments? What if and what else are two phrases that indicate a need for additional information and knowledge. This video provides a simulated scenario to understand how that may happen. [Read more…]
The gage measurements are expected to be stable, meaning the gage should provide consistent readings. Some random variation due to random error is expected. However, gage measurements change with time or because the gage is damaged. The gage stability can be checked by measuring a known reference.
In this article, it is shown how to use control charts to assess gage stability.
We offer three main services – projects, program management and training. This video illustrates the typical progression of service use through a case study. Don’t be afraid to skip ahead in the process! [Read more…]
Evolutionary operations is an approach to design of experiments that is not commonly known. Where can it apply? May it be useful in your situation? [Read more…]
The rule is simple. For high-risk issues, the FMEA team needs to properly identify the cause(s) and associated failure mechanism(s). So, what exactly is a failure mechanism?
“Nature never breaks her own laws.” Leonardo da Vinci
Most senior managements don’t know that Reliability can get them high profits very quickly. And therefore high return on investment. Hyundai’s Ten Year Warranty. Their market share was going downhill for over ten years, suddenly it started to go upwards instead. All because of high reliability!
The impact of reliability extends far beyond reliability itself. It establishes the cost of warrants, repair, maintenance, logistics and the indirect costs of unavailability, downtime, and the COST OF SAFETY RECALLS which runs to hundreds of million dollars., and throughout the life of the product. This paper presents an outside-the-box view of how to get the best results by aiming at twice the life in the product specification and by preventing the high-risk failure modes resulting in an extraordinary return on investment, as much as 10,000%. [Read more…]
People are drawn to use of the blocking feature in Design of Experiments quite often. My experience shows that it is overused. This video explains my rationale. [Read more…]
A fun look about test planning. It has shaped how I look at the topic and how I perform my work. I hope you enjoy it! [Read more…]
The prior article, MSA 3: Gage Bias, focused on defining and calculating a point estimate of gage bias. A method was presented to determine if the bias was statistically significant. If significant, the bias would be applied to the data as a correction factor.
This article discusses gage bias linearity over a measurement range.
Root Cause Analysis is different than “problem solving.” It is highly visible with money on the table. How can you approach it? How can you be successful? This video gives some fundamentals of my approach. [Read more…]
Conflict is a normal part of living. Do you consider it a positive or a negative? Communication helps, but so does the perspective that you take. This video discusses it from a New Product Development and from a sports point of view. [Read more…]
(Reproduced from the article “Death of a Reliability Engineer” by Dev Raheja, Reliability Review, Vol. 30, March 2010 with permission)
When I first wrote the article in March 1990, I implied an ‘F’ grade to reliability engineers. Now almost 20 years later, I would give them a “E’. Yes, there is a little improvement but nothing you can write to your mother about.
The MTBF cancer was wide spread and is still wide spread in the DoD. The only reason I upgraded the reliability engineer from F to E is because the MTBF in some industries is no longer used such as in the automotive industry. They use the failure rates instead to hide their shame.
Failure rate is just the reciprocal of MTBF. Good job! Same old corn flakes with a new product name! [Read more…]
When doing training, some will focus only on the tools. However, in our approach we focus on 3 things. It is the people, process and tools. In that order. If you would like to improve your systems and tool usage, we can create a plan to execute with you. And we can make it a reality. [Read more…]
By prepopulating the highest priority functions, along with other selected information, the FMEA team can focus their efforts on the most important functions, and minimize in-meeting time. This is the last step in FMEA preparation. However, there are specific limitations to FMEA prepopulation that must be understood and adhered to.
“Give me six hours to chop down a tree and I will spend the first four sharpening the axe.”
Abraham Lincoln
In my prior article, Measurement Systems, the total variation in the measurement data was partitioned into part variation (PV), assessor variation (AV), and equipment variation (EV). GR&R is the square root of the sum of the squares of AV and EV. If the ratio of GRR/TV is less than 10%, then the measurement system variation was acceptable.
In addition to variation, data bias needs to be considered. This bias is created by systematic measurement errors.
[Read more…]