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Probabilistic Design Ebook
predicting and mitigating the effects of uncertainty and random variability on technical and commercial systems
“This e-book captures all I know about developing an intuitive probabilistic design capacity. A single that will let you naturally deign robust, high quality and low risk systems of any type.”
If you work in a role exactly where you’ll want to increase high quality or reduce risk and you are finding that the current methods just aren’t giving you the results which you want, then you’re about to understand the intuitive and basic way to combine robust design methods with what you currently know to design the highest top quality and low risk systems possible
So a lot of of us operate in areas where random variability would be the significant source from the difficulties we require to deal with: high-quality, risk, reliability. But how a lot of of us really understand the important to analysing random variability: Probabilistic Design?
I am sure that you simply have heard of Six Sigma, Value Analysis, Value Engineering, High-quality Circles, Quality Function Deployment, Design of Experiments, Failure Mode and Effects Analysis, Fault Trees, SWOT, Facilitated Risk Analysis Approach and many other equivalent systems that have been and gone.
But let me ask you this. Do you seriously understand how these systems truly optimise so that the negative effects of random variability are reduced or eliminated?
How can it be that all of us spend so considerably time working in an area imbedded in probabilistic problems and yet we know subsequent to nothing about probabilistic design? Nicely I think it is as a result of the influence of Taguchi and also the existing domination of good quality and risk by statisticians. My PhD supervisor told me about an argument that he had with Taguchi over the application of basic probabilistic methods: Taguchi rejected something that wasn’t experimentally primarily based. Statisticians too also rely almost…[read more]
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