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'Statistics for Six Sigma: Made Easy!' by Warren Brussee. |
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| Description | The first plain-English guide to solving real-world problems with Six Sigma So you're ready to improve your processes and products and satisfy your customers through Six Sigma--but you're not looking forward to navigating complicated statistics in order to get results. Now, Warren Brussee, a veteran Six Sigma manager who helped his teams generate millions of dollars in savings, explains how to use the powerful statistical tools of Six Sigma in easy-to-understand language. In this step-by-step guide, you get a thorough overview of the Six Sigma methodology and techniques for successful implementation, as well as a clear explanation of DMAIC--the problem solving method used by Six Sigma Greenbelts for projects and process improvements. You'll see how to plot, interpret, and validate data for a Six Sigma project. You will use Excel to make Six Sigma problem-solving calculations in a wide range of areas, from sales and marketing to manufacturing, process work, equipment design, and more. Each chapter also features a brief review of what you've learned. Plus, you get: A simplified form of the most common Six Sigma tools All the basic Six Sigma formulas and tables Dozens of Six Sigma statistical problem-solving case studies A matrix for finding the right statistical tool to meet your needs Basic Greenbelt training in one concise reference Best of all, no background in statistics is required--you can start improving quality and initiating cost-saving improvements right away. With all these benefits and authoritative guidance, Statistics for Six Sigma Made Easy is the only reference you need to facilitate real-world application of Six Sigma tools. | | Release Date | 2004-05-12 | | Author | Warren Brussee | | Format | Dimensions 18.5x24.0x1.6 cm
250 pages
book | | Publisher | McGraw-Hill Companies,Incorporated | | Subject(s) | Business & Economics / Management
Mathematics / Probability & Statistics / General
Technology & Engineering / Quality Control |
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Last Updated
25/11/2024 at 04:00. |
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