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Robust Engineering: Learn How to Boost Quality While Reducing Costs & Time to Market by Taguchi, Genichi, Chowdhury, Subir, Taguchi, Shin (1999) Hardcover

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Powerful and elegantly simple. Achieve higher quality. . . lower costs. . . faster time to market Companies worldwide have used the methods of quality expert Genichi Taguchi for the past 30 years with phenomenal product development cost savings and quality improvements. Robust Engineering,by this three-time Deming Prize winner,along with Subir Chowdhury and Shin Taguchi,is the first book to explain and illustrate his newest,most revolutionary methodology,Technology Development. It joins Design of Experiments and Robust Design as the framework on which your company can build a competitive edge. Case studies of real-world organizations Ford,ITT,3M,Minolta,NASA,Nissan,Xerox and 9 others show you how the techniques of all three methodologies can be successfully applied. You'll hammer flexibility into your manufacturing organization to minimize product development costs,reduce product time-to-market,and fully satisfy customers needs.Project Management is going to be huge in the next decade. . . —Fortune Busy managers single-source guide to planning,organizing and controlling projects At last there's a concise,compact (5O x 8O) hands-on guide that puts state-of-the-art management concepts and processes at your fingertips. Project Manager's Portable Handbook,by David I. Cleland and Lewis R.Ireland,is your step-by-step guide to the nuts-and-bolts details that spell project management success. You're shown how to organize and manage everything from small to multiple projects. . . lead and coach project team members. . . and manage within a strategic context from project partnering to dealing with the board of directors and other stakeholders.You'llfind out Select and use PM software; Develop winning proposals Handle legal considerations; Come out on top in contract"Robust Engineering produces parts that avoid failure. " - John F. Elter,Vice President and Chief Engineer,Office Products Division,Xerox Corporation."Toyota had incorporated Robust Engineering into its product development processes and it has become the daily norm for Toyota engineers. " - Kenzo Euno,President,Ueno Design Institute,Japan."Through the use of Tagushi's Robust Engineering approach at ITT Industries,our products truly are 'Engineered for Life. '" - Richard s. Ullman,Vice President,ITT Defense & Electronics.Robust Engineering using Taguchi Methods is not some mysterious Eastern way. It's a clockwork-simple program for creating outstanding new products. Xerox used Robust Engineering to prestidigitate its high-end digital office imaging system three years faster than its less complicated predecessor. Xerox's new DC265 has already grabbed a 70% market share.This amazing casebook is your chance to see other examples of Robust Engineering at work. Sit in at Ford and Nissan. . . easvesdrop at NASA,Xerox,3M,Minolta. . . and answer your invitation from ITT,Goldstar,Sampo Kaguki,and Fumakilla. You'll see Robust Engineering used Anticipate customer cravings; Glide through design stages error-free; Spot design flaws before prototype; Eliminate manufacturing defects; Prevent high prices - and other things customers don't want; And bring out better products faster. Plus,here's your chance to learn what not to do by watching business giants stumble,as they complicate what should be a simple process.

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First published October 18, 1999

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Genichi Taguchi

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147 reviews
April 22, 2018
Three for me, simply because it was light on the Taguchi Methods, and heavy on the case studies of experiments. I'd have given it more stars if the case studies had been more about the use of the method and the thought processes. If I worked in manufacturing and engineering this would have been a five star book. The case studies all started to look the same to me towards the end, which brought home the uniformity of techniques in the Taguchi method and I will certainly interpret the notion of signal to noise for my work and it was a good reminder on experimental design.

My basic notes:

* Orthogonal Array
* Maximise Signal to noise ration
* "What information is generated ignorer to accomplish superior product/process design and meet all requirements at once?"
* “What should be measured as data in order to generate the best information?"
* “How should the experimentation be designed?"
* “How should the data be analysed?"
* “How is the validity of a result confirmed?"
* “How are these methods implemented?"

Other reading:
* https://en.wikipedia.org/wiki/Taguchi...
* https://www.isixsigma.com/methodology...
* https://www.researchgate.net/publicat...
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