03949nam a2200565Ki 4500 9781003100270 FlBoTFG 20260210180744.0 m o d cr cnu---unuuu 210415s2020 flua o 000 0 eng d OCoLC-P eng rda pn OCoLC-P 9781003100270 (electronic bk.) 1003100279 (electronic bk.) 9781000336559 (electronic bk. : PDF) 1000336557 (electronic bk. : PDF) 9781000336658 (electronic bk. : Mobipocket) 1000336654 (electronic bk. : Mobipocket) 9781000336757 (electronic bk. : EPUB) 1000336751 (electronic bk. : EPUB) 9780367569952 0367569957 9780367555764 036755576X (OCoLC)1246250098 (OCoLC-P)1246250098 TS156.4 MAT 029000 bisacsh TEC 032000 bisacsh BUS 053000 bisacsh PBT bicssc 658.562 23 Lawson, John, 1947- author. An introduction to acceptance sampling and SPC with R / John Lawson. Boca Raton : Chapman & Hall/CRC, 2020. 1 online resource (1 volume) : illustrations (black and white). text txt rdacontent computer c rdamedia online resource cr rdacarrier An Introduction to Acceptance Sampling and SPC with R is an introduction to statistical methods used in monitoring, controlling and improving quality. Topics covered include acceptance sampling; Shewhart control charts for Phase I studies; graphical and statistical tools for discovering and eliminating the cause of out-of-control-conditions; Cusum and EWMA control charts for Phase II process monitoring; and the design and analysis of experiments for process troubleshooting and discovering ways to improve process output. Origins of statistical quality control and the technical topics presented in the remainder of the book are those recommended in the ANSI/ASQ/ISO guidelines and standards for industry. The final chapter ties everything together by discussing modern management philosophies that encourage the use of the technical methods presented earlier. In the modern world sampling plans and the statistical calculations used in statistical quality control are done with the help of computers. As an open source high-level programming language with flexible graphical output options, R runs on Windows, Mac and Linux operating systems, and has add-on packages that equal or exceed the capability of commercial software for statistical methods used in quality control. In this book, we will focus on several R packages. In addition to demonstrating how to use R for acceptance sampling and control charts, this book will concentrate on how the use of these specific tools can lead to quality improvements both within a company and within their supplier companies. This would be a suitable book for a one-semester undergraduate course emphasizing statistical quality control for engineering majors (such as manufacturing engineering or industrial engineering), or a supplemental text for a graduate engineering course that included quality control topics. OCLC-licensed vendor bibliographic record. Acceptance sampling. R (Computer program language) Process control Statistical methods. MATHEMATICS / Probability & Statistics / General bisacsh TECHNOLOGY / Quality Control bisacsh BUSINESS & ECONOMICS / Quality Control bisacsh Taylor & Francis https://www.taylorfrancis.com/books/9781003100270 OCLC metadata license agreement http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf 90291 90290