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Cable Testers and Harness Testers Made Easy! |
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This article is the first in a 4-part series:
Continuous Improvement for Cable / Harness AssemblyIn a slow economy we all need to look at how to improve quality while improving our bottom line. Spending money on quality and productivity improvements must be well justified. In this 4-part series we will move from:
What is your First Pass Yield for Cable/harness assemblies?When you need to improve quality in your cables and harnesses we recommend focusing on "First Pass Yield" as a good place to start. First Pass Yield (FPY) is a simple metric that can identify problem areas in a process. If you use Lean and Six Sigma you may already track your process performance, but you might find that another perspective reinforces your continuous improvement actions. First Pass Yield is defined as the number of defective assemblies (discovered in testing / inspection etc.) divided by the total number of assemblies produced. If an assembly might fall-out at several stages, such as testing over-molded cables both before and after molding, you need to combine the yield of each production stage production by multiplying them together to get the FPY of the completed product. See more on First Pass Yield on wikipedia. To get FPY data for defects that show up on Cirris testers, see Retrieving FPY from your Cirris Tester. You could have one FPY number for your entire facility, but if you build assemblies with very different levels of complexity (simple cables vs. complex harnesses for example) then you might want to group different assemblies into families for the purpose of tracking FPY. For example: ![]() Ribbon cable assemblies, ![]() Harness assemblies, ![]() Crimp-and-poke assemblies. Tell us what metrics you useYou may already use metrics, such as Six Sigma, which defines defects in parts per 3.4 million opportunities. Please share with us your definition of what represents an 'opportunity' or your preferred metric. We can then present summary data of this information with our readers in next months newsletter. Possible definitions of an 'opportunity' include:
How do you define opportunity?One of the challenges of representing results using Six Sigma is that you must be consistent with your definition of an "opportunity." (To show a lower defect rate per 3.4 million parts, one might choose definitions that create more opportunities per assembly.) Keep in mind that our goal is to find ways to make improvements that lead to cost savings, not simply make the numbers look good. For stage 2 of our 'Continuous Improvement' series you will need to know your:
To get a head start on the next part in this series, look at how you classify the kinds of defects found in your first-pass-testing. And, if you're willing, please share your FPY data with us. We won't present any company names, only summary data of what others are using as FPY metrics. Next: Tracking the kind of quality problems encountered and their true costs. See the Divide and Conquer your BAD Cables/Harnesses Update: Thank you to everyone who responded with their quality metric ideas. The survey results are here. |
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