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Título : A Kaizen Approach to Food Safety : Quality Management in the Value Chain from Wheat to Bread Tipo de documento: documento electrónico Autores: Victoria Hill ; SpringerLink (Online service) Editorial: Cham : Springer International Publishing Fecha de publicación: 2014 Otro editor: Imprint: Springer Colección: Contributions to Management Science, ISSN 1431-1941 Número de páginas: XXXIII, 389 p. 105 illus Il.: online resource ISBN/ISSN/DL: 978-3-319-04250-3 Idioma : Inglés (eng) Palabras clave: Business Production management Operations research Decision making Food Biotechnology Mathematical optimization Management science Quality control Reliability Industrial safety and Operation Research/Decision Theory Control, Reliability, Safety Risk Science Optimization Research, Clasificación: 658 Empresas. Organización de empresas Resumen: This book provides a Management Science approach to quality management in food production. Aspects of food quality, product conformance and reliability/food safety are examined, starting with wheat and ending with its value chain transformation into bread. Protein qualities that influence glycemic index levels in bread are used to compare the value chains of France and the US. With Kaizen models the book shows how changes in these characteristics are the result of management decisions made by the wheat growers in response to government policy and industry strategy. Lastly, it provides step-by-step instructions on how to apply kaizen methodology and Deming's work on quality improvement to make the HACCPs (Hazard Analysis and Critical Control Points) in food safety systems more robust Nota de contenido: The Bread VC: Its Health Impact and Structure in France and the U.S. -- Government Regulation of Food Quality: International and in France and the U.S. -- Industry Regulation of Quality in Bread, Flour and Wheat in France and the U.S. -- Discussion of Literature Review and Preliminary Data Analysis -- Modelling the Value Stream for Bread, Flour and Wheat Production -- QFD Models of French and U.S. Wheat Management Practices -- HACCP and VSM Models of French and U.S. Wheat Production Processes -- Findings, Recommendations and Conclusion En línea: http://dx.doi.org/10.1007/978-3-319-04250-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36031 A Kaizen Approach to Food Safety : Quality Management in the Value Chain from Wheat to Bread [documento electrónico] / Victoria Hill ; SpringerLink (Online service) . - Cham : Springer International Publishing : Imprint: Springer, 2014 . - XXXIII, 389 p. 105 illus : online resource. - (Contributions to Management Science, ISSN 1431-1941) .
ISBN : 978-3-319-04250-3
Idioma : Inglés (eng)
Palabras clave: Business Production management Operations research Decision making Food Biotechnology Mathematical optimization Management science Quality control Reliability Industrial safety and Operation Research/Decision Theory Control, Reliability, Safety Risk Science Optimization Research, Clasificación: 658 Empresas. Organización de empresas Resumen: This book provides a Management Science approach to quality management in food production. Aspects of food quality, product conformance and reliability/food safety are examined, starting with wheat and ending with its value chain transformation into bread. Protein qualities that influence glycemic index levels in bread are used to compare the value chains of France and the US. With Kaizen models the book shows how changes in these characteristics are the result of management decisions made by the wheat growers in response to government policy and industry strategy. Lastly, it provides step-by-step instructions on how to apply kaizen methodology and Deming's work on quality improvement to make the HACCPs (Hazard Analysis and Critical Control Points) in food safety systems more robust Nota de contenido: The Bread VC: Its Health Impact and Structure in France and the U.S. -- Government Regulation of Food Quality: International and in France and the U.S. -- Industry Regulation of Quality in Bread, Flour and Wheat in France and the U.S. -- Discussion of Literature Review and Preliminary Data Analysis -- Modelling the Value Stream for Bread, Flour and Wheat Production -- QFD Models of French and U.S. Wheat Management Practices -- HACCP and VSM Models of French and U.S. Wheat Production Processes -- Findings, Recommendations and Conclusion En línea: http://dx.doi.org/10.1007/978-3-319-04250-3 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=36031 Ejemplares
Signatura Medio Ubicación Sub-localización Sección Estado ningún ejemplar Frontiers in Statistical Quality Control 10 / SpringerLink (Online service) ; Hans-Joachim Lenz ; Schmid, Wolfgang ; Peter-Theodor Wilrich (2012)
Título : Frontiers in Statistical Quality Control 10 Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Hans-Joachim Lenz ; Schmid, Wolfgang ; Peter-Theodor Wilrich Editorial: Heidelberg : Physica-Verlag HD Fecha de publicación: 2012 Colección: Frontiers in Statistical Quality Control num. 10 Número de páginas: XVIII, 416 p. 128 illus., 57 illus. in color Il.: online resource ISBN/ISSN/DL: 978-3-7908-2846-7 Idioma : Inglés (eng) Palabras clave: Statistics Quality control Reliability Industrial safety Statistical Theory and Methods for Engineering, Physics, Computer Science, Chemistry Earth Sciences Control, Reliability, Safety Risk Clasificación: 51 Matemáticas Resumen: The 10th International Workshop on Intelligent Statistical Quality Control took place in Seattle, USA, Aug 18-20, 2010. It was hosted by Professor C. M. Mastrangelo, Department of Industrial and Systems Engineering, University of Washington, Seattle. The workshop was jointly organized by Professors H.- J. Lenz, C. M. Mastrangelo, W. Schmid and P.-T. Wilrich. The twenty-seven papers in this volume were carefully selected by the scientific program committee, reviewed by its members, revised by the authors and, finally, adapted for this volume by the editors. The book is divided into two parts: Part I "On-line Control" covers fields like control charting, monitoring and surveillance as well as acceptance sampling. Part II "Off-line Control" is devoted to experimental design, process capability analysis and data quality. The purpose of the book is on the one hand to provide insights into important new developments in the area of statistical quality control – especially surveillance and monitoring – and on the other hand to critically discuss methods used in on-line and off-line statistical quality control Nota de contenido: Part I On-line Control: -- A GLR Control Chart for Monitoring the Process Variance by Marion R. Reynolds, Jr., and Jianying Lou -- On the Robustness of the Shewhart Control Chart to Diffrent Types of Dependencies in Data by Olgierd -- Assessing the Impact of Autocorrelation in Misleading Signals in Simultaneous Residual Schemes for the Process Mean and Variance: a Stochastic Ordering Approach by Patricia Ferreira Ramos, Manuel Cabral Morais, Antonio Pacheco and Wolfgang Schmid -- More on Control Charting under Drift by Sven Knoth -- Limit Properties of EWMA Charts for Stationary Processes by Manuel Cabral Morais, Yarema Okhrin, and Wolfgang Schmid -- Economic Control Chart Policies for Monitoring Variables when there are Two Components of Variance by Erwin Saniga, James Lucas, Darwin Davis, and Thomas McWilliams -- Process Monitoring Using an Online Nonlinear Data Reduction Based Control Chart by Issam Ben Khediri and Claus Weihs -- On the Integration of SPC and APC: APC can be a Convenient Support for SPC by Ken Nishina, Masanobu Higashide, Hironobu Kawamura, and Naru Ishii -- Process Adjustment Control Chart for Simultaneous Monitoring of Process Capability and State of Statistical Control by Hironobu Kawamura, Ken Nishina and Tomomichi Suzuki -- Adaptive Threshold Methods for Monitoring Rates in Public Health Surveillance by Linmin Gan, William H. Woodall, and John L. Szarka -- Spatiotemporal Bio Surveillance Under Non-homogeneous Population by Sung Won Han, Wei Jiang, and Kwok-Leung Tsui -- Monitoring Hospital-Associated Infections with Control Charts by Christina M. Mastrangelo and Anna M. Gillan -- Design and Implementation of Systems for Monitoring Lifetime Data by Emmanuel Yashchin -- A Robust Detection Procedure for Multiple Change Points of Linear Trends by Seiichi Yasui, Hidehisa Noguchi and Yoshikazu Ojima -- Risk-adjusted Cumulative Sum Charting Procedures by Fah F. Gan, Lin Lin, and Chok K. Loke -- Bayesian Sampling Plans for Inspection by Variables by Peter-Th. Wilrich -- Quality Assessment in the Presence of Additional Data in Photovoltaics by Sabine Meisen, Andrey Pepelyshev and Ansgar Steland -- On Practical Uses of ISO Standards - Two Case Studies by Jürgen Iwersen -- Part II Off-line Control: Hybrid Space-Filling Designs for Computer Experiments by Rachel T. Johnson, Douglas C. Montgomery and Kathryn S. Kennedy -- Optimal Design for Multifactor Life Testing Experiments for Exponentially Distributed Lifetimes by Brandon R. Englert, Steven E. Rigdon, Connie M. Borror, Douglas C. Montgomery and Rong Pan -- Accelerated Lifetime Testing of Thermal Insulation Elements by Rainer Göb, Kristina Lurz, and Ulrich Heinemann -- Proposal of Advanced Taguchi's Linear Graphs for Split-Plot Experiments by Tomomichi Suzuki, Hironobu Kawamura, Seiichi Yasui and Yoshikazu Ojima -- A Practical Variable Selection for Linear Models by Hidehisa Noguchi, Yoshikazu Ojima, and Seiichi Yasui -- Capability of Detection for Poisson Distributed Measurements by Normal Approximations by Yusuke Tsutsumi, Hironobu Kawamura, and Tomomichi Suzuki -- Business Data Quality Control - a Step by Step Procedure by Hans-J. Lenz and Esther Borowski -- Data Quality: Algorithms for Automatic Detection of Unusual Measurements by Ross Sparks and Chris OkuGami -- Uncertainty and Quality Control by Elart von Collani En línea: http://dx.doi.org/10.1007/978-3-7908-2846-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33018 Frontiers in Statistical Quality Control 10 [documento electrónico] / SpringerLink (Online service) ; Hans-Joachim Lenz ; Schmid, Wolfgang ; Peter-Theodor Wilrich . - Heidelberg : Physica-Verlag HD, 2012 . - XVIII, 416 p. 128 illus., 57 illus. in color : online resource. - (Frontiers in Statistical Quality Control; 10) .
ISBN : 978-3-7908-2846-7
Idioma : Inglés (eng)
Palabras clave: Statistics Quality control Reliability Industrial safety Statistical Theory and Methods for Engineering, Physics, Computer Science, Chemistry Earth Sciences Control, Reliability, Safety Risk Clasificación: 51 Matemáticas Resumen: The 10th International Workshop on Intelligent Statistical Quality Control took place in Seattle, USA, Aug 18-20, 2010. It was hosted by Professor C. M. Mastrangelo, Department of Industrial and Systems Engineering, University of Washington, Seattle. The workshop was jointly organized by Professors H.- J. Lenz, C. M. Mastrangelo, W. Schmid and P.-T. Wilrich. The twenty-seven papers in this volume were carefully selected by the scientific program committee, reviewed by its members, revised by the authors and, finally, adapted for this volume by the editors. The book is divided into two parts: Part I "On-line Control" covers fields like control charting, monitoring and surveillance as well as acceptance sampling. Part II "Off-line Control" is devoted to experimental design, process capability analysis and data quality. The purpose of the book is on the one hand to provide insights into important new developments in the area of statistical quality control – especially surveillance and monitoring – and on the other hand to critically discuss methods used in on-line and off-line statistical quality control Nota de contenido: Part I On-line Control: -- A GLR Control Chart for Monitoring the Process Variance by Marion R. Reynolds, Jr., and Jianying Lou -- On the Robustness of the Shewhart Control Chart to Diffrent Types of Dependencies in Data by Olgierd -- Assessing the Impact of Autocorrelation in Misleading Signals in Simultaneous Residual Schemes for the Process Mean and Variance: a Stochastic Ordering Approach by Patricia Ferreira Ramos, Manuel Cabral Morais, Antonio Pacheco and Wolfgang Schmid -- More on Control Charting under Drift by Sven Knoth -- Limit Properties of EWMA Charts for Stationary Processes by Manuel Cabral Morais, Yarema Okhrin, and Wolfgang Schmid -- Economic Control Chart Policies for Monitoring Variables when there are Two Components of Variance by Erwin Saniga, James Lucas, Darwin Davis, and Thomas McWilliams -- Process Monitoring Using an Online Nonlinear Data Reduction Based Control Chart by Issam Ben Khediri and Claus Weihs -- On the Integration of SPC and APC: APC can be a Convenient Support for SPC by Ken Nishina, Masanobu Higashide, Hironobu Kawamura, and Naru Ishii -- Process Adjustment Control Chart for Simultaneous Monitoring of Process Capability and State of Statistical Control by Hironobu Kawamura, Ken Nishina and Tomomichi Suzuki -- Adaptive Threshold Methods for Monitoring Rates in Public Health Surveillance by Linmin Gan, William H. Woodall, and John L. Szarka -- Spatiotemporal Bio Surveillance Under Non-homogeneous Population by Sung Won Han, Wei Jiang, and Kwok-Leung Tsui -- Monitoring Hospital-Associated Infections with Control Charts by Christina M. Mastrangelo and Anna M. Gillan -- Design and Implementation of Systems for Monitoring Lifetime Data by Emmanuel Yashchin -- A Robust Detection Procedure for Multiple Change Points of Linear Trends by Seiichi Yasui, Hidehisa Noguchi and Yoshikazu Ojima -- Risk-adjusted Cumulative Sum Charting Procedures by Fah F. Gan, Lin Lin, and Chok K. Loke -- Bayesian Sampling Plans for Inspection by Variables by Peter-Th. Wilrich -- Quality Assessment in the Presence of Additional Data in Photovoltaics by Sabine Meisen, Andrey Pepelyshev and Ansgar Steland -- On Practical Uses of ISO Standards - Two Case Studies by Jürgen Iwersen -- Part II Off-line Control: Hybrid Space-Filling Designs for Computer Experiments by Rachel T. Johnson, Douglas C. Montgomery and Kathryn S. Kennedy -- Optimal Design for Multifactor Life Testing Experiments for Exponentially Distributed Lifetimes by Brandon R. Englert, Steven E. Rigdon, Connie M. Borror, Douglas C. Montgomery and Rong Pan -- Accelerated Lifetime Testing of Thermal Insulation Elements by Rainer Göb, Kristina Lurz, and Ulrich Heinemann -- Proposal of Advanced Taguchi's Linear Graphs for Split-Plot Experiments by Tomomichi Suzuki, Hironobu Kawamura, Seiichi Yasui and Yoshikazu Ojima -- A Practical Variable Selection for Linear Models by Hidehisa Noguchi, Yoshikazu Ojima, and Seiichi Yasui -- Capability of Detection for Poisson Distributed Measurements by Normal Approximations by Yusuke Tsutsumi, Hironobu Kawamura, and Tomomichi Suzuki -- Business Data Quality Control - a Step by Step Procedure by Hans-J. Lenz and Esther Borowski -- Data Quality: Algorithms for Automatic Detection of Unusual Measurements by Ross Sparks and Chris OkuGami -- Uncertainty and Quality Control by Elart von Collani En línea: http://dx.doi.org/10.1007/978-3-7908-2846-7 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33018 Ejemplares
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Título : Mathematical and Statistical Models and Methods in Reliability : Applications to Medicine, Finance, and Quality Control Tipo de documento: documento electrónico Autores: SpringerLink (Online service) ; Rykov, V.V ; Nagraj Balakrishnan ; Mikhail S. Nikulin Editorial: Boston, MA : Birkhäuser Boston Fecha de publicación: 2010 Otro editor: Imprint: Birkhäuser Colección: Statistics for Industry and Technology, ISSN 2364-6241 Número de páginas: XXVI, 457 p. 74 illus Il.: online resource ISBN/ISSN/DL: 978-0-8176-4971-5 Idioma : Inglés (eng) Palabras clave: Engineering Applied mathematics Mathematical models Probabilities Statistics Quality control Reliability Industrial safety Control, Reliability, Safety and Risk Statistical Theory Methods Applications of Mathematics for Life Sciences, Medicine, Health Sciences Probability Stochastic Processes Modeling Clasificación: 51 Matemáticas Resumen: An outgrowth of the sixth conference on “Mathematical Methods in Reliability: Theory, Methods, and Applications,” this book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by recognized experts in the field of reliability, the contributions cover a wide range of models, methods, and applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. The volume is thematically organized into four major sections: * Reliability Models, Methods, and Optimization; * Statistical Methods in Reliability; * Applications; * Computer Tools for Reliability. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence Nota de contenido: Reliability Models, Methods, and Optimization -- Reliability of Semi-Markov Systems with Asymptotic Merging Phase Space -- Nonlinearly Perturbed Stochastic Processes and Systems -- On a Copula for Failure Times of System Elements -- On One Method of Reliability Coefficients Calculation for Objects in Non-Homogeneous Event Flows -- A New Approach to Maintenance Optimization by Modeling Intensity Control -- Longitudinal Latent Markov Processes Observable Through an Invariant Rasch Model -- Dynamics of Dependence Properties for Lifetimes Influenced by Unobservable Environmental Factors -- On Alternative of Choice for a Prophylaxis Problem -- Optimal Incomplete Maintenance for Systems with Discrete Time-to-Failure Distribution -- A Gini-Type Index for Aging/Rejuvenating Objects -- Redundancy Analysis for Multi-state System: Reliability and Financial Assessment -- On the Reliability Modeling of Hierarchical Systems -- Statistical Methods in Reliability -- Parametric Estimation of Redundant System Reliability From Censored Data -- Assessing Accuracy of Statistical Inferences by Resamplings -- Change Point Estimation in Regression Models with Fixed Design -- A Model for Field Failure Prediction Using Dynamic Environmental Data -- Efficient Regression Estimation Under General Censoring and Truncation -- On Generalized Tests of Fit for Multinomial Populations -- Modeling and Scaling of Categorical Data -- Nonparametric Estimation and Testing the Effect of Covariates in Accelerated Life Time Models Under Censoring -- Nonparametric Estimation of Time Trend for Repairable Systems Data -- Confidence Region for Distribution Function from Censored Data -- Empirical Estimate with Uniformly Minimal d-Risk for Bernoulli Trials Success Probability -- Estimation of Archival Lifetime Distribution for Writable Optical Disks from Accelerated Testings -- Applications -- Ages in Reliability and Bio Systems, Interpretations, Control, and Applications -- Shocks in Mixed Populations -- Bayesian Estimation of Degradation Model Defined by a Wiener Process -- Benefits of Threshold Regression: A Case-Study Comparison with Cox Proportional Hazards Regression -- Optimal Stopping and Reselling of European Options -- Bayesian Modeling of Health State Preferences -- Information Measures in Biostatistics and Reliability Engineering -- Reliability Computer Tools -- Software System for Simulation and Research of Probabilistic Regularities and Statistical Data Analysis in Reliability and Quality Control -- Inverse Gaussian Model and Its Applications in Reliability and Survival Analysis En línea: http://dx.doi.org/10.1007/978-0-8176-4971-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33562 Mathematical and Statistical Models and Methods in Reliability : Applications to Medicine, Finance, and Quality Control [documento electrónico] / SpringerLink (Online service) ; Rykov, V.V ; Nagraj Balakrishnan ; Mikhail S. Nikulin . - Boston, MA : Birkhäuser Boston : Imprint: Birkhäuser, 2010 . - XXVI, 457 p. 74 illus : online resource. - (Statistics for Industry and Technology, ISSN 2364-6241) .
ISBN : 978-0-8176-4971-5
Idioma : Inglés (eng)
Palabras clave: Engineering Applied mathematics Mathematical models Probabilities Statistics Quality control Reliability Industrial safety Control, Reliability, Safety and Risk Statistical Theory Methods Applications of Mathematics for Life Sciences, Medicine, Health Sciences Probability Stochastic Processes Modeling Clasificación: 51 Matemáticas Resumen: An outgrowth of the sixth conference on “Mathematical Methods in Reliability: Theory, Methods, and Applications,” this book is a selection of invited chapters, all of which deal with various aspects of mathematical and statistical models and methods in reliability. Written by recognized experts in the field of reliability, the contributions cover a wide range of models, methods, and applications, reflecting recent developments in areas such as survival analysis, aging, lifetime data analysis, artificial intelligence, medicine, carcinogenesis studies, nuclear power, financial modeling, aircraft engineering, quality control, and transportation. The volume is thematically organized into four major sections: * Reliability Models, Methods, and Optimization; * Statistical Methods in Reliability; * Applications; * Computer Tools for Reliability. Mathematical and Statistical Models and Methods in Reliability is an excellent reference text for researchers and practitioners in applied probability and statistics, industrial statistics, engineering, medicine, finance, transportation, the oil and gas industry, and artificial intelligence Nota de contenido: Reliability Models, Methods, and Optimization -- Reliability of Semi-Markov Systems with Asymptotic Merging Phase Space -- Nonlinearly Perturbed Stochastic Processes and Systems -- On a Copula for Failure Times of System Elements -- On One Method of Reliability Coefficients Calculation for Objects in Non-Homogeneous Event Flows -- A New Approach to Maintenance Optimization by Modeling Intensity Control -- Longitudinal Latent Markov Processes Observable Through an Invariant Rasch Model -- Dynamics of Dependence Properties for Lifetimes Influenced by Unobservable Environmental Factors -- On Alternative of Choice for a Prophylaxis Problem -- Optimal Incomplete Maintenance for Systems with Discrete Time-to-Failure Distribution -- A Gini-Type Index for Aging/Rejuvenating Objects -- Redundancy Analysis for Multi-state System: Reliability and Financial Assessment -- On the Reliability Modeling of Hierarchical Systems -- Statistical Methods in Reliability -- Parametric Estimation of Redundant System Reliability From Censored Data -- Assessing Accuracy of Statistical Inferences by Resamplings -- Change Point Estimation in Regression Models with Fixed Design -- A Model for Field Failure Prediction Using Dynamic Environmental Data -- Efficient Regression Estimation Under General Censoring and Truncation -- On Generalized Tests of Fit for Multinomial Populations -- Modeling and Scaling of Categorical Data -- Nonparametric Estimation and Testing the Effect of Covariates in Accelerated Life Time Models Under Censoring -- Nonparametric Estimation of Time Trend for Repairable Systems Data -- Confidence Region for Distribution Function from Censored Data -- Empirical Estimate with Uniformly Minimal d-Risk for Bernoulli Trials Success Probability -- Estimation of Archival Lifetime Distribution for Writable Optical Disks from Accelerated Testings -- Applications -- Ages in Reliability and Bio Systems, Interpretations, Control, and Applications -- Shocks in Mixed Populations -- Bayesian Estimation of Degradation Model Defined by a Wiener Process -- Benefits of Threshold Regression: A Case-Study Comparison with Cox Proportional Hazards Regression -- Optimal Stopping and Reselling of European Options -- Bayesian Modeling of Health State Preferences -- Information Measures in Biostatistics and Reliability Engineering -- Reliability Computer Tools -- Software System for Simulation and Research of Probabilistic Regularities and Statistical Data Analysis in Reliability and Quality Control -- Inverse Gaussian Model and Its Applications in Reliability and Survival Analysis En línea: http://dx.doi.org/10.1007/978-0-8176-4971-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=33562 Ejemplares
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Título : Practical Manual of Quality Function Deployment Tipo de documento: documento electrónico Autores: Davide Maritan ; SpringerLink (Online service) Editorial: Cham : Springer International Publishing Fecha de publicación: 2015 Otro editor: Imprint: Springer Número de páginas: XIII, 190 p. 52 illus Il.: online resource ISBN/ISSN/DL: 978-3-319-08521-0 Idioma : Inglés (eng) Palabras clave: Business Market research Organization Planning Management Industrial management Production Quality control Reliability safety and Operations Control, Reliability, Safety Risk Innovation/Technology Research/Competitive Intelligence Clasificación: 658 Empresas. Organización de empresas Resumen: This book introduces into the practical application of Quality Function Deployment (QFD) beyond the famous House of Quality Matrix by presenting a fully developed example of a clear and comprehensive QFD framework. The QFD workflow is described step by step, encompassing strategic planning, customer surveys, product and service characteristics, mechanisms, parts and cost deployment, technologies, process phases and faults analysis. The model, as presented with practical suggestions, can be used in firms with low resources and/or need for speed. In addition, a chapter is dedicated to the most common “fuzzy” algorithms, explained for professionals and the book closes by describing in detail some QFD case studies. This book will be of interest to all who wish to use QFD to respond to and satisfy customer requirements effectively Nota de contenido: 1 Quality Function Deployment (QFD): Definitions, History and Models -- 2 Strategic Matrices and Customer Analysis -- 3 QFD from Product Characteristics to Pre-production -- 4 Fuzzy QFD -- 5 QFD Case Histories En línea: http://dx.doi.org/10.1007/978-3-319-08521-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35434 Practical Manual of Quality Function Deployment [documento electrónico] / Davide Maritan ; SpringerLink (Online service) . - Cham : Springer International Publishing : Imprint: Springer, 2015 . - XIII, 190 p. 52 illus : online resource.
ISBN : 978-3-319-08521-0
Idioma : Inglés (eng)
Palabras clave: Business Market research Organization Planning Management Industrial management Production Quality control Reliability safety and Operations Control, Reliability, Safety Risk Innovation/Technology Research/Competitive Intelligence Clasificación: 658 Empresas. Organización de empresas Resumen: This book introduces into the practical application of Quality Function Deployment (QFD) beyond the famous House of Quality Matrix by presenting a fully developed example of a clear and comprehensive QFD framework. The QFD workflow is described step by step, encompassing strategic planning, customer surveys, product and service characteristics, mechanisms, parts and cost deployment, technologies, process phases and faults analysis. The model, as presented with practical suggestions, can be used in firms with low resources and/or need for speed. In addition, a chapter is dedicated to the most common “fuzzy” algorithms, explained for professionals and the book closes by describing in detail some QFD case studies. This book will be of interest to all who wish to use QFD to respond to and satisfy customer requirements effectively Nota de contenido: 1 Quality Function Deployment (QFD): Definitions, History and Models -- 2 Strategic Matrices and Customer Analysis -- 3 QFD from Product Characteristics to Pre-production -- 4 Fuzzy QFD -- 5 QFD Case Histories En línea: http://dx.doi.org/10.1007/978-3-319-08521-0 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=35434 Ejemplares
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Título : evaluating clinical research : All that glitters is not gold Tipo de documento: documento electrónico Autores: Bengt D. Furberg ; SpringerLink (Online service) ; Curt D. Furberg Editorial: New York, NY : Springer New York Fecha de publicación: 2007 Número de páginas: V, 165 p Il.: online resource ISBN/ISSN/DL: 978-0-387-72899-5 Idioma : Inglés (eng) Palabras clave: Statistics Pharmacology Medical research Quality of life for Life Sciences, Medicine, Health Sciences Research Pharmacology/Toxicology Clasificación: 51 Matemáticas Resumen: The objective of this book is to make its readers better informed and more critical consumers of clinical research to help them recognize the strengths and the weaknesses of scientific publications. In doing so, the reader will be able to distinguish patient-important and methodologically sound studies from those having limitations in design, conduct and interpretation. There are no prerequisites for reading this book. The text is basic and has no statistical formulas. Key take-home messages are listed at the end of each chapter. The large number of cartoons has two purposes: First, to make the text easier to read and generate a few laughs and, second, to underscore specific points, sometimes in a provocative way. Bengt D. Furberg, MD, PhD is board-certified in internal medicine. After spending a decade as medical director in the pharmaceutical industry, he now serves as medical consultant, evaluating the safety and efficacy of pharmaceutical products and medical devices and promoting evidence-based medicine. His brother, Curt D. Furberg, MD, PhD, is Professor in the Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA. After arriving in the United States from Sweden, he worked at the National Heart, Lung, and Blood Institute of the National Institutes of Health for 12 years. He is co-author of Fundamentals of Clinical Trials with Lawrence M. Friedman and David L. DeMets. His areas of interest are clinical trials, evidence-based medicine and drug safety. The authors have acquired much of their knowledge about clinical studies through the "trial and error" method. Thus, they have personal experience with many of the problems they describe Nota de contenido: What is the purpose of this book? -- Why is benefit-to-harm balance essential to treatment decisions? -- What are the strengths of randomized controlled clinical trials? -- What are the weaknesses of randomized controlled clinical trials? -- Do meta-analyses provide the ultimate truth? -- What are the strengths of observational studies? -- What are the weaknesses of observational studies? -- Were the scientific questions stated in advance? -- Were the treatment groups comparable initially? -- Why is blinding/masking so important? -- How is symptomatic improvement measured? -- Is it really possible to assess quality of life? -- What is the value of biologic markers in drug evaluation? -- How are adverse drug reactions measured? -- How representative are study subjects in clinical trials? -- What happened to the study subjects who disappeared from the analysis? -- How reliable are active-control trials? -- How informative are composite outcomes? -- Do changes in biologic markers predict clinical benefit? -- How trustworthy are the authors? -- Does publication in a reputable scientific journal guarantee quality? -- Is it necessary to be a biostatistician to interpret scientific data? -- Are all drugs of a class interchangeable? -- How much confidence can be placed on economic analysis? -- How should I handle the massive flow of information? -- How well is research translated into clinical care? En línea: http://dx.doi.org/10.1007/978-0-387-72899-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34535 evaluating clinical research : All that glitters is not gold [documento electrónico] / Bengt D. Furberg ; SpringerLink (Online service) ; Curt D. Furberg . - New York, NY : Springer New York, 2007 . - V, 165 p : online resource.
ISBN : 978-0-387-72899-5
Idioma : Inglés (eng)
Palabras clave: Statistics Pharmacology Medical research Quality of life for Life Sciences, Medicine, Health Sciences Research Pharmacology/Toxicology Clasificación: 51 Matemáticas Resumen: The objective of this book is to make its readers better informed and more critical consumers of clinical research to help them recognize the strengths and the weaknesses of scientific publications. In doing so, the reader will be able to distinguish patient-important and methodologically sound studies from those having limitations in design, conduct and interpretation. There are no prerequisites for reading this book. The text is basic and has no statistical formulas. Key take-home messages are listed at the end of each chapter. The large number of cartoons has two purposes: First, to make the text easier to read and generate a few laughs and, second, to underscore specific points, sometimes in a provocative way. Bengt D. Furberg, MD, PhD is board-certified in internal medicine. After spending a decade as medical director in the pharmaceutical industry, he now serves as medical consultant, evaluating the safety and efficacy of pharmaceutical products and medical devices and promoting evidence-based medicine. His brother, Curt D. Furberg, MD, PhD, is Professor in the Division of Public Health Sciences, Wake Forest University School of Medicine, Winston-Salem, NC, USA. After arriving in the United States from Sweden, he worked at the National Heart, Lung, and Blood Institute of the National Institutes of Health for 12 years. He is co-author of Fundamentals of Clinical Trials with Lawrence M. Friedman and David L. DeMets. His areas of interest are clinical trials, evidence-based medicine and drug safety. The authors have acquired much of their knowledge about clinical studies through the "trial and error" method. Thus, they have personal experience with many of the problems they describe Nota de contenido: What is the purpose of this book? -- Why is benefit-to-harm balance essential to treatment decisions? -- What are the strengths of randomized controlled clinical trials? -- What are the weaknesses of randomized controlled clinical trials? -- Do meta-analyses provide the ultimate truth? -- What are the strengths of observational studies? -- What are the weaknesses of observational studies? -- Were the scientific questions stated in advance? -- Were the treatment groups comparable initially? -- Why is blinding/masking so important? -- How is symptomatic improvement measured? -- Is it really possible to assess quality of life? -- What is the value of biologic markers in drug evaluation? -- How are adverse drug reactions measured? -- How representative are study subjects in clinical trials? -- What happened to the study subjects who disappeared from the analysis? -- How reliable are active-control trials? -- How informative are composite outcomes? -- Do changes in biologic markers predict clinical benefit? -- How trustworthy are the authors? -- Does publication in a reputable scientific journal guarantee quality? -- Is it necessary to be a biostatistician to interpret scientific data? -- Are all drugs of a class interchangeable? -- How much confidence can be placed on economic analysis? -- How should I handle the massive flow of information? -- How well is research translated into clinical care? En línea: http://dx.doi.org/10.1007/978-0-387-72899-5 Link: https://biblioteca.cunef.edu/gestion/catalogo/index.php?lvl=notice_display&id=34535 Ejemplares
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