The Six Sigma Way Team Fieldbook: An Implementation Guide for Process Improvement Teams

The Six Sigma Way Team Fieldbook: An Implementation Guide for Process Improvement Teams

The Six Sigma Way Team Fieldbook: An Implementation Guide for Process Improvement Teams

more information about The Six Sigma Way Team Fieldbook: An Implementation Guide for Process Improvement Teams

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Book Description
This companion guide to the bestselling The Six Sigma Way focuses on the project improvement teams that do the real, in-the-trenches work of Six Sigma-;measuring performance, improving quality and saving millions in the process. The Six Sigma Way Team Fieldbook is a highly practical reference for team leaders and members, outlining both the methods that have made Six Sigma successful and the basic steps a team must follow in an improvement effort. Written by three veteran trainers of Six Sigma Black Belts and teams at GE, Sun Microsystems, and Sears, this hands-on guide helps teams obtain the skills they need to identify a product, service, or process that needs improvement or redesign; gather data on the process and the rate of defects; find ways to improve quality up to a Six Sigma level-;just 3.4 defects per million; and much more. * Includes dozens of data-gathering forms and Six Sigma tools and worksheets * Describes key improvement methods in a concise how-to format with checklists and tips

Download Description
This companion guide to the bestselling The Six Sigma Way focuses on the project improvement teams that do the real, in-the-trenches work of Six Sigma-measuring performance, improving quality and saving millions in the process.

The Six Sigma Way Team Fieldbook: An Implementation Guide for Process Improvement Teams

The Six Sigma Way Team Fieldbook: An Implementation Guide for Process Improvement Teams,Peter S. Pande,Robert P. Neuman,Roland R. Cavanagh,McGraw-Hill,0071373144,Business & Economics,Business / Economics / Finance,Business/Economics,Entrepreneurship,Management - Teams,Production & Operations Management,Production management,Quality control,Reference - General,Statistical methods,Business & Economics / Quality Control

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