000 03920nam a2200553Ki 4500
001 9781003100270
003 FlBoTFG
005 20220509193002.0
006 m o d
007 cr cnu---unuuu
008 210415s2020 flua o 000 0 eng d
040 _aOCoLC-P
_beng
_erda
_epn
_cOCoLC-P
020 _a9781003100270
_q(electronic bk.)
020 _a1003100279
_q(electronic bk.)
020 _a9781000336559
_q(electronic bk. : PDF)
020 _a1000336557
_q(electronic bk. : PDF)
020 _a9781000336658
_q(electronic bk. : Mobipocket)
020 _a1000336654
_q(electronic bk. : Mobipocket)
020 _a9781000336757
_q(electronic bk. : EPUB)
020 _a1000336751
_q(electronic bk. : EPUB)
020 _z9780367569952
020 _z0367569957
020 _z9780367555764
020 _z036755576X
035 _a(OCoLC)1246250098
035 _a(OCoLC-P)1246250098
050 4 _aTS156.4
072 7 _aMAT
_x029000
_2bisacsh
072 7 _aTEC
_x032000
_2bisacsh
072 7 _aBUS
_x053000
_2bisacsh
072 7 _aPBT
_2bicssc
082 0 4 _a658.562
_223
100 1 _aLawson, John,
_d1947-
_eauthor.
245 1 3 _aAn introduction to acceptance sampling and SPC with R /
_cJohn Lawson.
264 1 _aBoca Raton :
_bChapman & Hall/CRC,
_c2020.
300 _a1 online resource (1 volume) :
_billustrations (black and white).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
520 _aAn 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.
588 _aOCLC-licensed vendor bibliographic record.
650 0 _aAcceptance sampling.
650 0 _aR (Computer program language)
650 0 _aProcess control
_xStatistical methods.
650 7 _aMATHEMATICS / Probability & Statistics / General
_2bisacsh
650 7 _aTECHNOLOGY / Quality Control
_2bisacsh
650 7 _aBUSINESS & ECONOMICS / Quality Control
_2bisacsh
856 4 0 _3Taylor & Francis
_uhttps://www.taylorfrancis.com/books/9781003100270
856 4 2 _3OCLC metadata license agreement
_uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
999 _c127742
_d127742