An Introduction to Acceptance Sampling and SPC with R

Introduction to Sampling and Statistical Process Control (SPC) with R is an overview of statistical methods used in monitoring, regulating, and enhancing quality. Covered topics include sampling for acceptance; application of Shewhart control charts for Phase I studies; graphical and statistical tools for detecting and rectifying the causes of out-of-control conditions; implementation of Cusum and EWMA control charts for Phase II process monitoring; and the planning and assessment of experiments for process troubleshooting and improvements. The technical subjects presented in the book comply with the ANSI/ASQ/ISO guidelines and standards for industry. The concluding chapter integrates these concepts by discussing contemporary management philosophies that advocate the use of the technical methods introduced earlier. In today’s world, sampling plans and statistical calculations used in statistical quality control are accomplished with computer assistance. As a versatile high-level programming language with flexible graphical output options, R is compatible with Windows, Mac, and Linux operating systems, and features add-on packages that match or exceed the capabilities of commercial software for statistical methods used in quality control. This book focuses on several R packages. Besides illustrating how to utilize R for acceptance sampling and control charts, this book evaluates how the application of these specific tools can result in quality enhancements both within a company and among its supplier entities. It could serve as a suitable textbook for a one-semester undergraduate course emphasizing statistical quality control for engineering majors (such as manufacturing engineering or industrial engineering), or as a supplementary text for a graduate engineering course covering quality control topics.