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Managing Six sigma : a practical guide to understanding, assessing, and implementing the strategy that yields bottom line success / Forrest W. Breyfogle III, James M. Cupello, Becki Meadows
| Managing Six sigma : a practical guide to understanding, assessing, and implementing the strategy that yields bottom line success / Forrest W. Breyfogle III, James M. Cupello, Becki Meadows |
| Autore | Breyfogle, Forrest W., 1946- |
| Pubbl/distr/stampa | New York : John Wiley and Sons, 2001 |
| Descrizione fisica | xv, 272 p. : ill. ; 25 cm |
| Disciplina | 658.562 |
| Altri autori (Persone) |
Cupello, James M.
Meadows, Becki |
| Soggetto topico |
Quality control - Statistical methods
Production management - Statistical methods Six sigma (Quality control standard) |
| ISBN | 0471396737 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISALENTO-991004120149707536 |
Breyfogle, Forrest W., 1946-
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| New York : John Wiley and Sons, 2001 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. del Salento | ||
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Manual on presentation of data and control chart analysis
| Manual on presentation of data and control chart analysis |
| Pubbl/distr/stampa | [Place of publication not identified], : ASTM International, 2010 |
| Disciplina | 620.1/10287 |
| Soggetto topico |
Materials - Testing
Quality control - Statistical methods Chemical & Materials Engineering Engineering & Applied Sciences Materials Science |
| ISBN |
1-62198-711-6
0-8031-8425-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Manual on Presentation of Data and Control Chart Analysis |
| Record Nr. | UNINA-9910161638303321 |
| [Place of publication not identified], : ASTM International, 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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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
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||
| Amsterdam ; ; London, : Elsevier Butterworth-Heinemann, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
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Stapenhurst Tim
|
||
| Amsterdam ; ; London, : Elsevier Butterworth-Heinemann, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 |
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Stapenhurst Tim
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| Amsterdam ; ; London, : Elsevier Butterworth-Heinemann, 2005 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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La metodologia Sei Sigma nei servizi : un'applicazione ai modelli di gestione finanziaria / / Cristiano Ciappei [and three others]
| La metodologia Sei Sigma nei servizi : un'applicazione ai modelli di gestione finanziaria / / Cristiano Ciappei [and three others] |
| Autore | Ciappei Cristiano |
| Pubbl/distr/stampa | Firenze, Italy : , : Firenze University Press, , 2006 |
| Descrizione fisica | 1 online resource (202 pages) : illustrations |
| Disciplina | 658.562 |
| Collana | Monografie scienze tecnologiche |
| Soggetto topico |
Six sigma (Quality control standard)
Quality control - Statistical methods |
| ISBN | 88-927-3934-4 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | ita |
| Record Nr. | UNINA-9910477314903321 |
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Ciappei Cristiano
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| Firenze, Italy : , : Firenze University Press, , 2006 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modern industrial statistics : with applications in R, MINITAB and JMP / / Ron. S Kenett and Shelemyahu Zacks
| Modern industrial statistics : with applications in R, MINITAB and JMP / / Ron. S Kenett and Shelemyahu Zacks |
| Autore | Kenett Ron |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (883 pages) |
| Disciplina | 658.562 |
| Collana | Statistics in Practice Ser. |
| Soggetto topico | Quality control - Statistical methods |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-71496-6
1-119-71494-X 1-119-71492-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910555002603321 |
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Kenett Ron
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| Hoboken, New Jersey : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modern industrial statistics : with applications in R, MINITAB and JMP / / Ron. S Kenett and Shelemyahu Zacks
| Modern industrial statistics : with applications in R, MINITAB and JMP / / Ron. S Kenett and Shelemyahu Zacks |
| Autore | Kenett Ron |
| Edizione | [3rd ed.] |
| Pubbl/distr/stampa | Hoboken, New Jersey : , : Wiley, , [2021] |
| Descrizione fisica | 1 online resource (883 pages) |
| Disciplina | 658.562 |
| Collana | Statistics in Practice |
| Soggetto topico | Quality control - Statistical methods |
| ISBN |
1-119-71496-6
1-119-71494-X 1-119-71492-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910830979903321 |
|
Kenett Ron
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| Hoboken, New Jersey : , : Wiley, , [2021] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Modern industrial statistics : with applications in R, MINITAB and JMP / / Ron S. Kenett, Shelemyahu Zacks ; with contributions from Daniele Amberti
| Modern industrial statistics : with applications in R, MINITAB and JMP / / Ron S. Kenett, Shelemyahu Zacks ; with contributions from Daniele Amberti |
| Autore | Kenett Ron |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (587 p.) |
| Disciplina | 658.5/62 |
| Altri autori (Persone) |
ZacksShelemyahu <1932->
AmbertiDaniele |
| Collana | Statistics in practice |
| Soggetto topico |
Quality control - Statistical methods
Reliability (Engineering) - Statistical methods R (Computer program language) |
| ISBN |
1-118-76369-6
1-118-76366-1 1-118-76368-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface to Second Edition; Preface to First Edition; Abbreviations; Part I Principles of Statistical Thinking and Analysis; Chapter 1 The Role of Statistical Methods in Modern Industry and Services; 1.1 The different functional areas in industry and services; 1.2 The quality-productivity dilemma; 1.3 Fire-fighting; 1.4 Inspection of products; 1.5 Process control; 1.6 Quality by design; 1.7 Information quality and practical statistical efficiency; 1.8 Chapter highlights; 1.9 Exercises; Chapter 2 Analyzing Variability: Descriptive Statistics
2.1 Random phenomena and the structure of observations2.2 Accuracy and precision of measurements; 2.3 The population and the sample; 2.4 Descriptive analysis of sample values; 2.4.1 Frequency distributions of discrete random variables; 2.4.2 Frequency distributions of continuous random variables; 2.4.3 Statistics of the ordered sample; 2.4.4 Statistics of location and dispersion; 2.5 Prediction intervals; 2.6 Additional techniques of exploratory data analysis; 2.6.1 Box and whiskers plot; 2.6.2 Quantile plots; 2.6.3 Stem-and-leaf diagrams; 2.6.4 Robust statistics for location and dispersion 2.7 Chapter highlights2.8 Exercises; Chapter 3 Probability Models and Distribution Functions; 3.1 Basic probability; 3.1.1 Events and sample spaces: Formal presentation of random measurements; 3.1.2 Basic rules of operations with events: Unions, intersections; 3.1.3 Probabilities of events; 3.1.4 Probability functions for random sampling; 3.1.5 Conditional probabilities and independence of events; 3.1.6 Bayes formula and its application; 3.2 Random variables and their distributions; 3.2.1 Discrete and continuous distributions; 3.2.2 Expected values and moments of distributions 3.2.3 The standard deviation, quantiles, measures of skewness and kurtosis3.2.4 Moment generating functions; 3.3 Families of discrete distribution; 3.3.1 The binomial distribution; 3.3.2 The hypergeometric distribution; 3.3.3 The Poisson distribution; 3.3.4 The geometric and negative binomial distributions; 3.4 Continuous distributions; 3.4.1 The uniform distribution on the interval (a, b), a < b; 3.4.2 The normal and log-normal distributions; 3.4.3 The exponential distribution; 3.4.4 The gamma and Weibull distributions; 3.4.5 The Beta distributions 3.5 Joint, marginal and conditional distributions3.5.1 Joint and marginal distributions; 3.5.2 Covariance and correlation; 3.5.3 Conditional distributions; 3.6 Some multivariate distributions; 3.6.1 The multinomial distribution; 3.6.2 The multi-hypergeometric distribution; 3.6.3 The bivariate normal distribution; 3.7 Distribution of order statistics; 3.8 Linear combinations of random variables; 3.9 Large sample approximations; 3.9.1 The law of large numbers; 3.9.2 The Central Limit Theorem; 3.9.3 Some normal approximations; 3.10 Additional distributions of statistics of normal samples 3.10.1 Distribution of the sample variance |
| Record Nr. | UNINA-9910790863703321 |
|
Kenett Ron
|
||
| Chichester, England : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Modern industrial statistics : with applications in R, MINITAB and JMP / / Ron S. Kenett, Shelemyahu Zacks ; with contributions from Daniele Amberti
| Modern industrial statistics : with applications in R, MINITAB and JMP / / Ron S. Kenett, Shelemyahu Zacks ; with contributions from Daniele Amberti |
| Autore | Kenett Ron |
| Edizione | [Second edition.] |
| Pubbl/distr/stampa | Chichester, England : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (587 p.) |
| Disciplina | 658.5/62 |
| Altri autori (Persone) |
ZacksShelemyahu <1932->
AmbertiDaniele |
| Collana | Statistics in practice |
| Soggetto topico |
Quality control - Statistical methods
Reliability (Engineering) - Statistical methods R (Computer program language) |
| ISBN |
1-118-76369-6
1-118-76366-1 1-118-76368-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover; Title Page; Copyright; Contents; Preface to Second Edition; Preface to First Edition; Abbreviations; Part I Principles of Statistical Thinking and Analysis; Chapter 1 The Role of Statistical Methods in Modern Industry and Services; 1.1 The different functional areas in industry and services; 1.2 The quality-productivity dilemma; 1.3 Fire-fighting; 1.4 Inspection of products; 1.5 Process control; 1.6 Quality by design; 1.7 Information quality and practical statistical efficiency; 1.8 Chapter highlights; 1.9 Exercises; Chapter 2 Analyzing Variability: Descriptive Statistics
2.1 Random phenomena and the structure of observations2.2 Accuracy and precision of measurements; 2.3 The population and the sample; 2.4 Descriptive analysis of sample values; 2.4.1 Frequency distributions of discrete random variables; 2.4.2 Frequency distributions of continuous random variables; 2.4.3 Statistics of the ordered sample; 2.4.4 Statistics of location and dispersion; 2.5 Prediction intervals; 2.6 Additional techniques of exploratory data analysis; 2.6.1 Box and whiskers plot; 2.6.2 Quantile plots; 2.6.3 Stem-and-leaf diagrams; 2.6.4 Robust statistics for location and dispersion 2.7 Chapter highlights2.8 Exercises; Chapter 3 Probability Models and Distribution Functions; 3.1 Basic probability; 3.1.1 Events and sample spaces: Formal presentation of random measurements; 3.1.2 Basic rules of operations with events: Unions, intersections; 3.1.3 Probabilities of events; 3.1.4 Probability functions for random sampling; 3.1.5 Conditional probabilities and independence of events; 3.1.6 Bayes formula and its application; 3.2 Random variables and their distributions; 3.2.1 Discrete and continuous distributions; 3.2.2 Expected values and moments of distributions 3.2.3 The standard deviation, quantiles, measures of skewness and kurtosis3.2.4 Moment generating functions; 3.3 Families of discrete distribution; 3.3.1 The binomial distribution; 3.3.2 The hypergeometric distribution; 3.3.3 The Poisson distribution; 3.3.4 The geometric and negative binomial distributions; 3.4 Continuous distributions; 3.4.1 The uniform distribution on the interval (a, b), a < b; 3.4.2 The normal and log-normal distributions; 3.4.3 The exponential distribution; 3.4.4 The gamma and Weibull distributions; 3.4.5 The Beta distributions 3.5 Joint, marginal and conditional distributions3.5.1 Joint and marginal distributions; 3.5.2 Covariance and correlation; 3.5.3 Conditional distributions; 3.6 Some multivariate distributions; 3.6.1 The multinomial distribution; 3.6.2 The multi-hypergeometric distribution; 3.6.3 The bivariate normal distribution; 3.7 Distribution of order statistics; 3.8 Linear combinations of random variables; 3.9 Large sample approximations; 3.9.1 The law of large numbers; 3.9.2 The Central Limit Theorem; 3.9.3 Some normal approximations; 3.10 Additional distributions of statistics of normal samples 3.10.1 Distribution of the sample variance |
| Record Nr. | UNINA-9910824520903321 |
|
Kenett Ron
|
||
| Chichester, England : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
