LEADER 05499nam 2200685Ia 450 001 9910457682503321 005 20200520144314.0 010 $a1-136-37911-8 010 $a1-281-00953-9 010 $a9786611009533 010 $a1-4237-2341-4 010 $a0-08-047954-5 035 $a(CKB)1000000000350228 035 $a(EBL)234969 035 $a(OCoLC)171114296 035 $a(SSID)ssj0000198814 035 $a(PQKBManifestationID)11172776 035 $a(PQKBTitleCode)TC0000198814 035 $a(PQKBWorkID)10183624 035 $a(PQKB)11163890 035 $a(MiAaPQ)EBC234969 035 $a(Au-PeEL)EBL234969 035 $a(CaPaEBR)ebr10127973 035 $a(CaONFJC)MIL100953 035 $a(OCoLC)936903579 035 $a(EXLCZ)991000000000350228 100 $a20041116d2005 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aMastering statistical process control$b[electronic resource] $ea handbook for performance improvement using cases /$fTim Stapenhurst 210 $aAmsterdam ;$aLondon $cElsevier Butterworth-Heinemann$d2005 215 $a1 online resource (497 p.) 300 $aDescription based upon print version of record. 311 $a1-138-17326-6 311 $a0-7506-6529-7 320 $aIncludes bibliographical references and index. 327 $aCover; Mastering Statistical Process Control: A Handbook for Performance Improvement Using Cases; Copyright; Contents; List of Figures; List of Charts; List of Case Studies and Examples; Reference of Charts; Preface; Acknowledgements; Introduction; The aim of the book; The structure of the book; How to use this book; PART 1 An Introduction to the Theory of SPC; 1 Statistical process control; A word on processes ...; ... And a word on variation; Some statistical measures; Why is understanding variation important to management?; Summary of the implications of process variation 327 $aTampering (over-control) and its effect on performanceControl charts: the tool for understanding process performance; Dispelling some myths of SPC; Are there situations where SPC is not appropriate?; The relationship between SPC and Six Sigma; Summary; PART 2 Exploding Data Analysis Myths; 2 Problems with monthly report tables, goals and quartiles; Introduction; Comparing pairs of numbers: a trap for the unwary; Death by numbers: the Saga of the monthly report; Who wins the prize? How not to compare regional performance statistics 327 $aFalsifying the data (and how to spot it): one result of setting targetsQuerying the top quartile: Does it mean anything?; Summary; 3 Exploring the mis-information in moving average charts: How they fail to respond to process changes, out-of-control points, trends and seasonality; Introduction; Analysis; Coping with seasonality and trends; What moving averages actually monitor; Summary; 4 The problems with year-to-date figures; Introduction; Analysing YTD against plan; Analysing this year's YTD against last year's YTD; Why YTD charts do not work 327 $aComparing YTD and YTD average charts with control chartsSummary; PART 3 Putting SPC into Practice - The Cases; The sources of the case studies; Control charts in the real worlds are not always so clear; A word on chart formats; Layout of and information in the case studies; How to use the case studies?; 5 Investigating variation in chemical concentration: How control charts were used to identify, investigate and prove the cause of fluctuations in results; 6 Improving examination results by analysing past performance and changing teaching methods 327 $a7 Demonstration that moving averages are poor indicators of true process performance: Monitoring the frequency of incidents8 Monitoring rare events: How a sudden but uncertain change in safety record was shown to be significant; 9 Comparing surgical complication rates between hospitals; 10 Comparing the frequency of rare medical errors between medical centres; 11 Metrics proposal for a training administration process; 12 Reducing problems during borehole drilling: An example of monitoring two metrics on one chart; 13 Applying control charts to benchmarking in the drilling industry 327 $a14 Comparing the results of using different charts to analyse a set of data: An application to a batch production process 330 $aMastering Statistical Process Control shows how to understand business or process performance more clearly and more effectively. This practical book is based on a rich and varied selection of case studies from across industry and commerce, including material from the manufacturing, extractive and service sectors. It will enable readers to understand how SPC can be used to maximum effect, and will deliver more effective monitoring, control and improvement in systems, processes and management. The common obstacle to successful use of SPC is getting bogged down wit 606 $aQuality control$xStatistical methods 606 $aProcess control$xStatistical methods 608 $aElectronic books. 615 0$aQuality control$xStatistical methods. 615 0$aProcess control$xStatistical methods. 676 $a658.562015195 700 $aStapenhurst$b Tim$0903494 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910457682503321 996 $aMastering statistical process control$92019770 997 $aUNINA