Handbook Of Experimental Methods For Process Improvement
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Handbook of Experimental Methods for Process Improvement
Clear and organized, this handbook shows engineers how to apply advanced statistical and experimental design methods to improve industrial and manufacturing processes. Throughout the text, concepts are developed in the context of industrial examples, and the use of software is made readily accessible to promote a better comprehension though graphical and statistical analysis. Using a variety of pedagogical techniques and high-quality graphics, Handbook of Experimental Methods for Process Improvement provides an intuitive understanding of the field, enabling engineers to apply the methods discussed to practical applications.
Handbook of Experimental Methods for Process Improvement
This book was written to provide working engineers and engineering students with the statistical tools they must understand to improve manufacturing processes. Statistical principles are illustrated with authentic manufacturing process ex amples from the semiconductor industry, a practice that enables experienced en gineers to build upon existing knowledge to learn new skills, and which introduces students to a fascinating industry. The first book in this series, Statistical Methods For Industrial Process Control, gives background on the industry, and provides statistical understanding prerequisite to applying the methods in this text. This text emphasizes the application of statistical tools, rather than statistical the ory. Modem advances in statistical software have made tedious computations and formula memorization unnecessary, so engineers with knowledge of a few statisti cal tools can competently practice statistics within the context of their profession. Software use is demonstrated throughout the book to promote better under standing through graphical and statistical analysis. A statistical software appendix gives example Statistical Analysis System (SAS)l programs sufficient to perform 2 the analyses in the text. Some examples are shown with Minitab as well. Review problems at the end of each chapter give readers a chance to deepen their understanding. Answers to selected problems can be found at the end of the book. lSAS is a trademark of SAS Institute Inc., SAS Campus Drive, Cary, NC 27513. 2Minitab is a trademark of Minitab, Inc., 3081 Enterprise Drive, State College, PA 16801.
Practical Guide to Experimental Design
Author: Normand L. Frigon
language: en
Publisher: John Wiley & Sons
Release Date: 1996-11-28
Over the last decade, Design of Experiments (DOE) has become established as a prime analytical and forecasting method with a vital role to play in product and process improvement. Now Practical Guide to Experimental Design lets you put this high-level statistical technique to work in your field, whether you are in the manufacturing or services sector. This accessible book equips you with all of the basic technical and managerial skills you need to develop, execute, and evaluate designed experiments effectively. You will develop a solid grounding in the statistical underpinnings of DOE, including distributions, analysis of variance, and more. You will also gain a firm grasp of full and fractional factorial techniques, the use of DOE in fault isolation and failure analysis, and the application of individual DOE methods within an integrated system. Each procedure is clearly illustrated one step at a time with the help of simplified notation and easy-to-understand spreadsheets. The book's real-world approach is reinforced throughout by case studies, examples, and exercises taken from a broad cross section of business applications. Practical Guide to Experimental Design is a valuable competitive asset for engineers, scientists, and decision-makers in many industries, as well as an important resource for researchers and advanced students. This hands-on guide offers complete, down-to-earth coverage of Design of Experiments (DOE) basics, providing you with the technical and managerial tools you need to put this powerful technique into action to help you achieve your quality improvement objectives. Using a clear, step-by-step approach, Practical Guide to Experimental Design shows you how to develop, perform, and analyze designed experiments. The book features: * Accessible coverage of statistical concepts, including data acquisition, reporting of results, sampling and other distributions, and more * A complete range of analytical procedures - analysis of variance, full and fractional factorial DOE, and the role of DOE in fault isolation and failure analysis * In-depth case studies, examples, and exercises covering a range of different uses of DOE * Broad applications across manufacturing, service, administrative, and other business sectors No matter what your field, Practical Guide to Experimental Design provides you with the "on-the-ground" assistance necessary to transform DOE theory into practice - the ideal guide for engineers, scientists, researchers, and advanced students.