For the first time as a reference book: "Statistical Engineering" methodology helps companies to radically reduce the costs of research and development.
Now available on Amazon eBooks
COLOGNE, Germany, Sept. 10, 2014 /CNW/ - In companies worldwide, countless projects lead to higher-than-planned costs, project budget estimates are too high, and project budgets fluctuate wildly. Since 2004, management consultant Peter Schick has been helping companies to not only improve quality, but also to radically reduce the costs and time involved in research, development and production.
His approach is simple: He uses his expertise in management, technology and statistical engineering to analyse past projects. In doing so, he uncovers variations in results in similar projects and eliminates their root causes. The individual focus on the company and the variations of results of its processes means that a surprisingly small number of measures are derived.
In his book Statistical Engineering: For efficient optimization of products and processes, Peter Schick describes for the first time in detail his methodology of statistical engineering, which he has already successfully employed in well over 100 projects. Target groups are executives and specialists in research and development, production and logistics, quality management, procurement and controlling of large and medium-sized companies.
It became available on AMAZON in German and English on 2014/08/21 (price: 7.68 EUR, length: 158 pages, 89 illustrations).
Link to the English edition: http://www.amazon.de/dp/B00MY55LUI
SOURCE: Peter Schick Management Consulting
For further information: For a book review copy please refer to: VOCATO public relations, Corinna Bause / Friederike Wagner, Braugasse 12, D-50859 Cologne, Phone: +49(0)2234-60-198-19 / -16, email@example.com / firstname.lastname@example.org, http://www.vocato-pr.de; Peter Schick Management Consulting, Peter Schick, Am Lindenweg 41, D-50933 Cologne, Phone: +49(0)221-355-331-343, email@example.com, http://www.peterschick.eu