Process Quality Control: Troubleshooting And Interpretation of Data By Ellis R. Ott, Edward G. Schilling, Dean V. Neubauer

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Process Quality Control: Troubleshooting And Interpretation of Data
 By Ellis R. Ott, Edward G. Schilling, Dean V. Neubauer

Process Quality Control: Troubleshooting And Interpretation of Data By Ellis R. Ott, Edward G. Schilling, Dean V. Neubauer


Process Quality Control: Troubleshooting And Interpretation of Data
 By Ellis R. Ott, Edward G. Schilling, Dean V. Neubauer


Free Download Process Quality Control: Troubleshooting And Interpretation of Data By Ellis R. Ott, Edward G. Schilling, Dean V. Neubauer

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Process Quality Control: Troubleshooting And Interpretation of Data
 By Ellis R. Ott, Edward G. Schilling, Dean V. Neubauer

  • Sales Rank: #3262142 in Books
  • Published on: 2005-05-25
  • Original language: English
  • Number of items: 1
  • Dimensions: 10.00" h x 7.00" w x 1.50" l, 3.45 pounds
  • Binding: Hardcover
  • 628 pages

From the Back Cover
"Full of numerous case studies that give insight into the kind of detailed process sleuthing that process capability studies are all about ... it should be a part of every serious quality practitioner's library."

--Bert Gunter in Quality Progress Magazine* Want to design fail-safe methods for finding and solving problems in complex processes? Discover new ways to coax answers from complicated data? Uncover hidden value in perplexing findings? If you want the most sophisticated and insightful approach to process sleuthing and process capability available, you've come to the right place. Packed with case studies drawn from real industrial processes, Process Quality Control demonstrates how to collect, crunch, and analyze data, step by step. Along the way, it gives you examples of successful, real-world applications used to solve tough questions. This book can help you: Learn time-tested troubleshooting methodologies. Discover better ways to gather, interpret and analyze data. Correctly interpret findings with time-ordered data. Resolve difficult, puzzling, or conflicting results with proven methods. Gain new insight in the analysis of attributes and variables data. Employ newer methods of analysis to maximize the information from your data. Draw problem-solving solutions from the identification of outliers in data. Apply graphical analysis to experimental designs. For anyone charged with discovering problems in processes, or suggesting improvements, there could be no more worthwhile--or inspiring--reading than Ellis Ott's, Edward G. Schilling's, and Dean V. Neubauer's Process Quality Control.

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