Design for six sigma as strategic experimentation : by H. E. Cook

By H. E. Cook

Layout for 6 Sigma as Strategic Experimentation develops a pragmatic, science-based method for directing the product cognizance strategy for highly-competitive markets. Forecasts of money move, industry percentage, and value are used to choose the ultimate layout from one of the choices thought of. A unmarried formalism is used to combine the projects and obligations of selling study, product making plans, finance, layout, engineering, and production in the total product attention approach.

The special audiences for this booklet are graduate engineers, statisticians, and scientists who're or who quickly may be keen on making plans, designing, production, and servicing items for highly-competitive markets.


A CD-ROM comprises MS Excel macros, SDWs, and templates, in addition to 12 tutorials

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Extra info for Design for six sigma as strategic experimentation : planning, designing, and building world-class products and services

Sample text

Initially, the organization was heavily involved with litigation over key patents. As a result of the experiments, the organization ended up with an increase in the fraction of engineers and a decrease in the fraction of lawyers as the patent positions were resolved. But the search for improving effectiveness never ends as the maximum moves over time. In this manner, the order parameters represent a general set of control factors whose strategic impact can be evaluated through designed experiments.

Learn: Discrepancies between projections and actual performance, both good and bad, need to be understood by identifying the root causes for the differences. qxd 12/7/04 2:10 PM Page 17 Product Management and the Fundamental Metrics 17 what is still fuzzy but important to better understand. Things learned with high confidence need to be added to the enterprise’s core body of knowledge and used to improve the bottomline performance for the next product. REFERENCES 1. M. Barney. May 2002. “Motorola’s Second Generation,” Six Sigma Forum Magazine 1, pp.

E. Cook and A. Wu. 2001. “On the Valuation of Goods and Selection of the Best Design Alternative,” Research in Engineering Design 13, pp. 42–54. 16. F. E. Satterthwaite. 1946. “An Approximate Distribution of Estimates of Variance Components,” Biometrics Bulletin 2, pp. 110–114. 17. H. E. Cook. 1997. Product Management: Value, Quality, Cost, Price, Profits, and Organization. Amsterdam: Kluwer, pp. 162–163. 18. , pp. 125–27. 19. S. Spear and H. K. Bowen. September–October 1999. “Decoding the DNA of the Toyota Production System,” Harvard Business Review, pp.

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