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Mastering statistical process control [[electronic resource] ] : a handbook for performance improvement using cases / / Tim Stapenhurst
Mastering statistical process control [[electronic resource] ] : a handbook for performance improvement using cases / / Tim Stapenhurst
Autore Stapenhurst Tim
Pubbl/distr/stampa Amsterdam ; ; London, : Elsevier Butterworth-Heinemann, 2005
Descrizione fisica 1 online resource (497 p.)
Disciplina 658.562015195
Soggetto topico Quality control - Statistical methods
Process control - Statistical methods
Soggetto genere / forma Electronic books.
ISBN 1-136-37911-8
1-281-00953-9
9786611009533
1-4237-2341-4
0-08-047954-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; 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
Tampering (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
Falsifying 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
Comparing 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
7 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
14 Comparing the results of using different charts to analyse a set of data: An application to a batch production process
Record Nr. UNINA-9910457682503321
Stapenhurst Tim  
Amsterdam ; ; London, : Elsevier Butterworth-Heinemann, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering statistical process control : a handbook for performance improvement using cases / / Tim Stapenhurst
Mastering statistical process control : a handbook for performance improvement using cases / / Tim Stapenhurst
Autore Stapenhurst Tim
Pubbl/distr/stampa Amsterdam ; ; London, : Elsevier Butterworth-Heinemann, 2005
Descrizione fisica 1 online resource (497 p.)
Disciplina 658.562015195
Soggetto topico Quality control - Statistical methods
Process control - Statistical methods
ISBN 1-136-37911-8
1-281-00953-9
9786611009533
1-4237-2341-4
0-08-047954-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; 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
Tampering (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
Falsifying 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
Comparing 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
7 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
14 Comparing the results of using different charts to analyse a set of data: An application to a batch production process
Record Nr. UNINA-9910784449703321
Stapenhurst Tim  
Amsterdam ; ; London, : Elsevier Butterworth-Heinemann, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Mastering statistical process control : a handbook for performance improvement using cases / / Tim Stapenhurst
Mastering statistical process control : a handbook for performance improvement using cases / / Tim Stapenhurst
Autore Stapenhurst Tim
Edizione [1st ed.]
Pubbl/distr/stampa Amsterdam ; ; London, : Elsevier Butterworth-Heinemann, 2005
Descrizione fisica 1 online resource (497 p.)
Disciplina 658.562015195
Soggetto topico Quality control - Statistical methods
Process control - Statistical methods
ISBN 1-136-37911-8
1-281-00953-9
9786611009533
1-4237-2341-4
0-08-047954-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; 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
Tampering (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
Falsifying 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
Comparing 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
7 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
14 Comparing the results of using different charts to analyse a set of data: An application to a batch production process
Record Nr. UNINA-9910825106603321
Stapenhurst Tim  
Amsterdam ; ; London, : Elsevier Butterworth-Heinemann, 2005
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Metodi statistici per il miglioramento della qualità / Hitoshi Kume ; presentazione di Alberto Galgano ; [traduzione di Maurizio Montagna]
Metodi statistici per il miglioramento della qualità / Hitoshi Kume ; presentazione di Alberto Galgano ; [traduzione di Maurizio Montagna]
Autore KUME, Hitoshi
Pubbl/distr/stampa Torino : Utet libreria : ISEDI, c1995
Descrizione fisica 230 p. ; 23 cm
Disciplina 658.562015195
Soggetto topico Prodotti industriali - Controllo di qualità
ISBN 88-800-8212-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISA-990003235920203316
KUME, Hitoshi  
Torino : Utet libreria : ISEDI, c1995
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Modern statistical quality control and improvement / Nicholas R. Farnum
Modern statistical quality control and improvement / Nicholas R. Farnum
Autore Farnum, Nicholas R.
Pubbl/distr/stampa Belmont, Calif. : Duxbury Press, c1994
Descrizione fisica XII, 500 p. : ill. ; 25 cm
Disciplina 658.562015195
Soggetto non controllato Controllo di processo - Metodi statistici
Controllo di qualità - Metodi statistici
Statistica del controllo di qualità
ISBN 0-534-20304-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-990003364840403321
Farnum, Nicholas R.  
Belmont, Calif. : Duxbury Press, c1994
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Quality control and application / Bertrand L. Hansen, Prabhakar M. Ghare
Quality control and application / Bertrand L. Hansen, Prabhakar M. Ghare
Autore HANSEN, Bertrand L.
Pubbl/distr/stampa Englewood Cliffs, NJ : Prentice Hall, c1987
Descrizione fisica xiv, 546 p. ; 24 cm
Disciplina 658.562015195
Altri autori (Persone) GHARE, Prabhakar M.
Soggetto topico Controllo di qualità - Metodi statistici
ISBN 013745225X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-990002799680203316
HANSEN, Bertrand L.  
Englewood Cliffs, NJ : Prentice Hall, c1987
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Quality management : tools and methods for improvement / Howard Gitlow, Alan Oppenheim, Rosa Oppenheim
Quality management : tools and methods for improvement / Howard Gitlow, Alan Oppenheim, Rosa Oppenheim
Autore Gitlow, Howard S
Edizione [2. ed]
Pubbl/distr/stampa Burr Ridge, Ill. : Irwin, c1995
Descrizione fisica xix, 508 p. : ill. ; 25 cm
Disciplina 658.562015195
Altri autori (Persone) Oppenheim, Alan V.
Oppenheim, Rosaauthor
Collana Irwin series in statistics
Soggetto topico Controllo di qualità - Metodi statistici
ISBN 0256106657
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISALENTO-991004124699707536
Gitlow, Howard S  
Burr Ridge, Ill. : Irwin, c1995
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Qualità e carte di controllo : aspetti teorici e computazionali / S. De Iaco, G. Giungato, S. Maggio, M. Palma, D. Posa
Qualità e carte di controllo : aspetti teorici e computazionali / S. De Iaco, G. Giungato, S. Maggio, M. Palma, D. Posa
Autore De Iaco, Sandra
Pubbl/distr/stampa Torino : Giappichelli, 2019
Descrizione fisica VI, 104 p. ; 24 cm
Disciplina 658.562015195
Altri autori (Persone) Giungato, Giuseppina
Maggio, Sabrina
Palma, Monica
Posa, Donato
ISBN 9788892119239
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISALENTO-991003705719707536
De Iaco, Sandra  
Torino : Giappichelli, 2019
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
SPC : il controllo statistico dei processi : le carte di controllo cusum, E.W.M.A., Q, introduzione ai testi sequenziali, gli indici di capacita di processo, la tecnica del pre-controllo / Enzo Belluco
SPC : il controllo statistico dei processi : le carte di controllo cusum, E.W.M.A., Q, introduzione ai testi sequenziali, gli indici di capacita di processo, la tecnica del pre-controllo / Enzo Belluco
Autore Belluco, Enzo
Pubbl/distr/stampa Milano : Angeli, c2001
Descrizione fisica 212 p. ; 23 cm
Disciplina 658.562015195
Collana Azienda moderna ; 451
Soggetto topico Prodotti industriali - Controllo di qualita - Metodi statistici
ISBN 884642834X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione und
Record Nr. UNISALENTO-991003120179707536
Belluco, Enzo  
Milano : Angeli, c2001
Materiale a stampa
Lo trovi qui: Univ. del Salento
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Statistical methods for testing, development, and manufacturing / Forrest W. Breyfogle
Statistical methods for testing, development, and manufacturing / Forrest W. Breyfogle
Autore Breyfogle, Forrest W.
Pubbl/distr/stampa New York [etc.], : Wiley, [1992]
Descrizione fisica XXIV, 516 p. ; 25 cm.
Disciplina 658.5
658.562015195
Soggetto topico Affidabilità
Prodotti industriali - Controllo di qualità - Metodi statistici
ISBN 0471540358
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISANNIO-MIL0121148
Breyfogle, Forrest W.  
New York [etc.], : Wiley, [1992]
Materiale a stampa
Lo trovi qui: Univ. del Sannio
Opac: Controlla la disponibilità qui