Handbook of Experimental Methods for Process Improvement

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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.