دانلود کتاب Introduction to statistical quality control 7th edtition

IntroductionThis book is about the use of modern statistical methods for quality control and improvement. Itprovides comprehensive coverage of the subject from basic principles to state-of-the-art conceptsand applications. The objective is to give the reader a sound understanding of the principles and thebasis for applying them in a variety of situations. Although statistical techniques are emphasizedthroughout, the book has a strong engineering and management orientation. Extensive knowledgeof statistics is not a prerequisite for using this book. Readers whose background includes a basiccourse in statistical methods will find much of the material in this book easily accessible.AudienceThe book is an outgrowth of more than 40 years of teaching, research, and consulting in the appli-cation of statistical methods for industrial problems. It is designed as a textbook for students enrolledin colleges and universities who are studying engineering, statistics, management, and related fieldsand are taking a first course in statistical quality control. The basic quality-control course is oftentaught at the junior or senior level. All of the standard topics for this course are covered in detail.Some more advanced material is also available in the book, and this could be used with advancedundergraduates who have had some previous exposure to the basics or in a course aimed at gradu-ate students. I have also used the text materials extensively in programs for professional practition-ers, including quality and reliability engineers, manufacturing and development engineers, productdesigners, managers, procurement specialists, marketing personnel, technicians and laboratory ana-lysts, inspectors, and operators. Many professionals have also used the material for self-study.Chapter Organization and Topical CoverageThe book contains five parts. Part 1 is introductory. The first chapter is an introduction to thephilosophy and basic concepts of quality improvement. It notes that quality has become a majorbusiness strategy and that organizations that successfully improve quality can increase their pro-ductivity, enhance their market penetration, and achieve greater profitability and a strong compet-itive advantage. Some of the managerial and implementation aspects of quality improvement areincluded. Chapter 2 describes DMAIC, an acronym for Define, Measure, Analyze, Improve, andControl. The DMAIC process is an excellent framework to use in conducting quality-improvementprojects. DMAIC often is associated with Six Sigma, but regardless of the approach taken by anorganization strategically, DMAIC is an excellent tactical tool for quality professionals to employ.Part 2 is a description of statistical methods useful in quality improvement. Topics includesampling and descriptive statistics, the basic notions of probability and probability distributions,point and interval estimation of parameters, and statistical hypothesis testing. These topics areusually covered in a basic course in statistical methods; however, their presentation in this textis from the quality-engineering viewpoint. My experience has been that even readers with astrong statistical background will find the approach to this material useful and somewhat differentfrom a standard statistics textbook.