#253 – EXPLORING DRONE RELIABILITY – FRED SCHENKELBERG

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In a few Twitter conversations, I’ve learned about the perceived lack of reliability of commercially available quadcopter or drones.

And, being encouraged to write a paper or two on drone reliability. Now that Amazon has a delivery drone patent, and industrial applications continue to announced daily, there is a need for serious reliability in these devices. Continue reading

#247 – PURPOSE OF A RELIABILITY PROGRAM – FRED SCHENKELBERG

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The reliable performance of a system is important. It is important to the customer, to our business and to us.

Very few argue that we should ignore the reliability characteristics of a product. We also deem cost, time to market or feature set as important also. The trouble is we can measure the latter directly every day, where the reliability performance is often difficult to measure. Continue reading

#240 – THE IMPORTANCE OF A RELIABILITY ENGINEERING COMMUNITY – FRED SCHENKELBERG

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Years ago I was a part of a reliability engineering community and I had not met more than two or three members. This was before the internet and was using a new-fangled system called an email list.

At the time, it filled the role of helping me understand the many facets of reliability engineering. It helped me answer questions and allowed me to help others as well. Continue reading

#239 – MULTI-VOTING: WHEN MORE THAN ONE VOTE IS BETTER – FRED SCHENKELBERG

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In brainstorming, you may face a large number of unique ideas even after affinity diagraming. Multi-voting is a great tool to gain consensus on the top priority ideas with your team.

For less than 10 or so items we could use a rank ordering method, yet that method becomes cumbersome when there are a lot of items to prioritize. There are a couple of ways to conduct multiple-voting. Mastering this technique will help your team quickly focus on what is truly important. Continue reading

#238 – CALCULATING THE PROBABILITY OF A SAMPLE CONTAINING BAD PARTS – FRED SCHENKELBERG

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Received a question from a reader this morning that will make a nice tutorial.

A box contains 27 black and 3 red balls.  A random sample of 5 balls is drawn without replacement.  What is the probability that the sample contains one red ball?

So here’s my thinking and two ways to solve this problem. Instead of red and black balls in an urn type problem, which is pretty abstract, let’s say we know 3 bad parts are in a bin of 30 total parts. Continue reading