So many of us work in areas where random variability is the main source of the problems we have to deal with: the quality, risk, reliability. But how many of us really understand the key to the analysis of random variability: probabilistic design?I’m sure you’ve heard of Six Sigma, Value Analysis, Value Engineering, Quality Circles, Quality Function Deployment, design of experiments, analysis of failure mode and effects, fault trees, SWOT, which facilitated the process of risk analysis and many other similar systems has been and gone.But let me ask you this. That’s what really understands how to optimize these systems actually the negative effects of random variability are reduced or canceled?How can it be that all spend so much time working on a series of probabilistic issues embedded in the area and yet we know almost nothing about probabilistic design?Well, I think it’s due to the influence of the current domain Taguchi and quality and risk by statisticians. My supervisor told me about a discussion he had with Taguchi on the implementation of basic probabilistic methods: Taguchi rejected anything that is not based on an experimental basis. Statistics also also relies almost exclusively on an experimental approach. On the other hand, probabilistic design uses his knowledge and experience to quickly and easily can design robust systems without time-consuming experiments.
If you have seen the page, then you know how much time and effort I put in understanding the application of probabilistic design robustification and how important I think both are someone like you.I’ve been researching, teaching and applying probabilistic design for years, and during this time I learned three things:The application of probabilistic methods often can break your focus on design and planning, and this makes it difficult to properly integrate into their work.
When enough to use and learn from them in the right way, they become intuitive probabilistic methods. Then they are easy to apply, and then can be easily integrated with other skills and other knowledge.
Nobody seems to explain or teach probabilistic methods in a way that allows people to apply quickly intuitively. In fact, I believe that no one has thought of doing this.Because I know how powerful are probabilistic and how important they are for robust design methods, I think everyone should know how to apply intuitively. The only problem I’ve noticed is that no one seemed to teach this.
That’s why I wrote this book. It condenses what I’ve learned over 10 years in a book for you. It’s not just a summary of what we know, but also focuses only on what you really need to know. All that is just excess or mild academic interest is eliminated. I have only included what I have found to be very useful for the development of a practical and useful capability in probabilistic design.More importantly, it focuses on the development of their practical skills. Instead of just covering the abstract theory, hoping that somehow figure out how to apply on their own. That’s what makes it different from other books on the subject and robust probabilistic design that I bought and read over the years. I developed this e-book for years, while teaching people how to effectively apply probabilistic methods for robust design, and it is with this approach in the application of probabilistic design the e-book was written.Once you read my eBook and learn what is in it, you will be able to design robust systems naturally: systems with high quality and low risk. Also, finally, it has a real and proper knowledge of both robustness and probabilistic design.
So download the e-book now and learn the key robust design that simply will not learn anywhere else. You can learn from my teaching and practice experience in probabilistic design to improve the quality and risk in the systems affected by random variability.
Do you know why you should have a command of probabilistic design?Imagine the feeling that comes with:Naturally, the system design is insensitive to random variability
inherently unreliable systems, which can prevent the identification of
It is that everyone does when chance is causing them a problem of almost incomprehensible quality, risk or reliability
The design of a product of this type that works perfectly resistant even after parts have worn
Detects any risk and quality before they cause any real problems
Properly understanding what it really is and how it works robustification
Being able to use probabilistic design theories to explain the quality problems and risks to humans
Knowing that you can detect and avoid high risk systems
understanding quality problems quickly when others are just stressed and trying to figure out what is happening
Listening to someone talk about the latest quality practice when real fundamental phenomena that make this method ‘new’ work known
People look at you like you’re a magician when he is in trouble impregnated game and find the answer. This is my favorite; something about probabilistic methods simply impresses people.
I can do all these things, so I can say that it feels great when that mystery that many of us associate with the random variability is gone.Quality problems disappear
The risks are quantified and plotted
You can focus on the development, and not worry about the uncertaintiesIt is much safer to develop systems. You know it will be tough and not cause problems of quality, reliability or risk.In addition, you can anticipate potential problems before they occur and then quickly resolved in later stages of development.Probabilistic design is not as magical as it sounds!I know that everyone seems to think that the application of probability theory is the borderline magic: I see it all the time in my work.However, it also showed me probabilistic methods. I always see how once you get a few key points and ignore the irrational fear that many seem to have in probability and statistics, you can quickly master the probabilistic methods.
Anyone can master probabilistic design.And because of the benefits that come from being able to intuitively incorporate in their daily work, I think everyone should have the opportunity to learn.The only problem is that a lot of people who teach these things seem to want to make it difficult. Or so intense focus on the theory from the beginning that kill the desire to learn or do not think that is easy to learn.I think you should make it as easy as possible for you to be able to learn how to apply probabilistic methods intuitively. And that has been my goal over the years, and it’s something I want to share with you.