The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance
Editorial Reviews
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Six Sigma is a data-driven management system with near-perfect-performance objectives that has been employed to acclaim at leading corporations like General Electric. Its name is derived from the eye-catching statistical target of operating with no more than 3.4 defects per one million chances, but Peter Pande, Robert Neuman, and Roland Cavanagh--associates in a firm providing Six Sigma implementation, training, and management services--contend its principles can be applied in businesses of all types to routinely reduce costs, improve productivity, increase market share, and achieve other positive results. The Six Sigma Way is their comprehensive self-help guide to adapting and using the system under various conditions. Its first two parts cover fundamentals and provide specific suggestions for aligning the process with individual needs and goals. (These include sections on balancing potential costs and benefits, clarifying objectives, and defining time frames.) The final part, which accounts for more than half the book, focuses on implementation through a detailed yet flexible five-step "road map" tied to a company's core processes, key customers, current performance, "high-potential improvement opportunities," and future practices. While the procedure is quite complex, diligent managers should be able to bring at least basic components to their organization with the tools and techniques provided. --Howard Rothman
Review
Toronto Globe & Mail : The Six Sigma Way is the second book this year looking at the hot new quality initiative.
The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance
The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance,Peter S. Pande et al,Robert P. Neuman,Roland R. Cavanagh,McGraw-Hill,0071358064,Business & Economics,Business / Economics / Finance,Business/Economics,Corporate Planning,Entrepreneurship,Forecasting,Management,Management - General,Production management,Quality Control,Statistical methods,Business & Economics / Quality Control
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