SOR 510 Measurement Error
Abstract
Fred discusses the importance of minimizing measurement errors.
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Author of <a href="/creprep/">CRE Preparation Notes</a>, <a href="/on-product-reliability/musings">Musings</a>, <a href="/articles/nomtbf/">NoMTBF</a>, <a href="/book-author/fred-schenkelberg/">multiple books & ebooks</a>, co-host on <a href="/series/sor/">Speaking of Reliability</a>, and speaker in the <a href="/series/sor/">Accendo Reliability Webinar Series</a>.
This author's archive lists contributions of articles and episodes.
by Fred Schenkelberg Leave a Comment
Fred discusses the importance of minimizing measurement errors.
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by Fred Schenkelberg Leave a Comment
“Speak with Data!” commanded my former general manager. “Let the Data Sing” is an article I wrote long ago. We all have data, often too much data. We like to present based on what the data says. Yet, sometimes the speaking with data is not clear.
If you’ve done the data gathering, the analysis, the summary, all based on the data, how can you best reveal what the data says to enhance your results and recommendations?
Just because you can add a 3D pie chart doesn’t mean you should. Crafting meaningful charts is only one part of the puzzle. You also have to present the data in a clear and meaningful manner. Here is a set of suggestions to consider the next time you are preparing and presenting when data is involved. [Read more…]
by Fred Schenkelberg Leave a Comment
Fred discussing just how bad MTBF and related measures are for our profession.
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by Fred Schenkelberg Leave a Comment
Fred discusses the origin of Speaking of Reliability plus an introduction to SOR Shorts.
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by Fred Schenkelberg Leave a Comment
Not all risks the same. Some are minor with little consequence, while others are not. Every organization or reliability program facings a plethora of risks and being able to communicate the range of identified risks is helped by using a risk matrix.
The risk matrix is a simple two-dimensional grid that lays out on one access the expected consequence of risk, from minor to catastrophic. The other axis has the likelihood or occurrence of the risk becoming realized, ranging from rare too certain.
The boxes within the grid then contain classifications ranging from low to extreme, which provide a prioritization to address the risk in some fashion. Low-risk items are those with rare occurrences and insignificant consequences. The other end of the spectrum are extreme risks that are almost certain to occur and have catastrophic results. [Read more…]
by Fred Schenkelberg Leave a Comment
What do you tell someone you just met when they ask, “So, what do you do?” Saying you’re a reliability engineer is likely to get a polite nod or confused look. How do you explain what you do, and why? Why is what we do as reliability minded folk important? [Read more…]
by Fred Schenkelberg Leave a Comment
As reliability professionals, we have a lot to do. Risks to identify, failures to analyze. Plans to draft, numbers to crunch. Meetings, writing, research, and leading fill the day.
The list of tasks that you have before you each day is impressive and daunting. So, how do you focus on what actually requires your attention and not just the tasks that get your attention?
by Fred Schenkelberg 2 Comments
When confronted with a stack of data, do you think about creating a histogram, too? Just tallied the 50th measurement of a new process – just means it’s time to craft a histogram, right?
There isn’t another data analysis tool as versatile. A histogram (bar chart) can deal with count, categorical, and continuous data (technically, the first two graphs would be bar charts). It like a lot of data yet reveals secretes of even smaller sets. A histogram should be on your shortlist of most often graphing tools. [Read more…]
by Fred Schenkelberg Leave a Comment
If we set a product reliability goal of 99% reliable over two years in the requirements document, what are we supposed to do tomorrow? On the other hand, if our goal is to write 1,000 pages for the next great novel by the end of the year and we have no pages written so far, well, we should write a page or two tomorrow.
A good goal provides a vision, a measurable milestone, a target. What it lacks is what we do from now till achieving that goal. If the goal is 1,000 pages in 365 days, we may want to set up a process to write at least 3 pages per day.
So, given a reliability goal, what do we do tomorrow, next week, and each week between now and when the goal is due?
In previous work, I’ve written about setting reliability goals, connecting the goal to customer expectations, technical capability, and business needs. Plus, have written about the four (five) parts of a complete goal, including Function(s), Environment, Duration, and Probability (and all four continue to get more difficult as customers expect more).
A well-stated reliability goal provides direction and a measurable target for the entire team. It provides a basis to compare progress and to help frame “is the design reliable enough yet” discussions.
This is all well and good, yet is it enough? [Read more…]
by Fred Schenkelberg Leave a Comment
The reliability engineering discipline, like all fields of endeavor, is changing. The inclusion of risk management, the shift to proactively avoiding field failures, and the increasing use of sensors and models, all make the future fascinating.
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The way we learn, prove our worth, and the nature of work are all changing. Professional societies are struggling to adjust to these changes. Universities and employers likewise are experimenting and exploring new ways to operate.
Over the past few months, I’ve received about a dozen inquiries on how to prepare for the ASQ Certified Reliability Engineer (CRE) exam in order to obtain the ASQ CRE certification. Many also asked if I had a course available. Thus, I decided to run a live course (learn more at the live course page – note: if you see this after the course start date we’ll have a sign up for those interested in future classes). [Read more…]
by Fred Schenkelberg Leave a Comment
I often joke that being a reliability engineer makes it difficult to get on an airplane. Yet air travel is by far the safest method of transportation. Maybe I just think about failure too much.
When a project manager views the day’s tasks, she sees timelines, connections, dependencies. When a marketing manager views a product idea, she sees benefits, sales channels, and profits. When a reliability engineer views a prototype, she sees the many ways it can fail.
Underlying how we view the world includes our assumptions, reasoning, and experience. We understand the world around us via the set of filters we use. We form conclusions and make decisions much the same way. Quickly and mostly automatically. [Read more…]
by Fred Schenkelberg Leave a Comment
One of my standing searches revealed an article that has shows a nice example of reliability data analysis. The author analyzed the time-to-violent-death of Roman emperors. The article is interesting in a historical sense plus illustrates a few key points for any life data analysis.
The article, “Statistical reliability analysis for the most dangerous occupation: Roman Emperor” by Joseph Homer Saleh takes a look at the 69 Roman emperors and 62% of them that suffered a violent death. The idea of the study was to determine if there is some pattern to the deaths and if the analysis would reveal any insights for those studying the era of the Roman emperors. [Read more…]
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The reliability culture of an organization is about how individuals make decisions. It is a combination of priorities & policies, behaviors & motivations, and information & capability. Understanding the current culture allows you to improve the culture.
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When you ‘pass’ a standard based test, just what does that mean? How can you use test results in a meaningful way other than just noting the product ‘passed’? Understanding the failure mechanisms at play along with the statistics is key. [Read more…]