Three Quality Tools to Quickly Reduce Defects and Costs
It’s an open secret that many automotive and aerospace manufacturers have unacceptably high defects and costs. And where defects are on the rise, quality costs aren’t far behind.
It’s an open secret that many automotive and aerospace manufacturers have unacceptably high defects and costs. And where defects are on the rise, quality costs aren’t far behind.
We are here, and it is now. Further than that, all human knowledge is moonshine.
—H. L. Mencken
I have written about sample size calculations many times before.
I recently got hold of the set of data shown in figure 1. What can be done to analyze and make sense of these 65 data values is the theme of this article. Read on to see what is exceptional about these data, not only statistically speaking.
Cogeco’s technical distribution center in Burlington, Ontario, is one of Canada’s drop-off points for internet modem and cable device repair. In 2011, the company’s management carried out a kaizen blitz to improve the efficiency of its device repair process.
Business partnerships are nothing new. Partnerships that result in leaner manufacturing processes, more consistent quality, and lower manufacturing costs—that is worth talking about.
Quality is related to processes.
Let’s take a second to emphasize who is important in the following quotes, all by W.
Confidence intervals show the range of values we can be fairly, well, confident, that our true value lies in, and they are very important to any quality practitioner. I could be 95-percent confident the volume of a can of soup will be 390–410 ml.
A lot of people in my classes struggle with conditional probability. Don’t feel alone, though. A lot of people get this (and simple probability, for that matter) wrong.
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