Recent Advances and Future Directions for Quality Engineering

The origins of quality engineering are in manufacturing, where quality engineers apply basic statistical methodologies to improve the quality and productivity of products and processes. In the past ...

[1]  Sonja Kuhnt,et al.  Design and analysis of computer experiments , 2010 .

[2]  Karen Kafadar Special section on statistics in neuroscience , 2011 .

[3]  Benjamin P. H. Kemper,et al.  Quality Quandaries*: The Availability of Infusion Pumps in a Hospital , 2009 .

[4]  Ronald J. M. M. Does,et al.  Quality Quandaries: Lean Nursing , 2010 .

[5]  Carolyn Conner Seepersad,et al.  Building Surrogate Models Based on Detailed and Approximate Simulations , 2004, DAC 2004.

[6]  T. Simpson,et al.  Computationally Inexpensive Metamodel Assessment Strategies , 2002 .

[7]  A. O'Hagan,et al.  Bayesian calibration of computer models , 2001 .

[8]  G. Geoffrey Vining,et al.  A Practitioner's Guide to Analyzing Reliability Experiments with Random Blocks and Subsampling , 2014 .

[9]  Rassoul Noorossana,et al.  Statistical Analysis of Profile Monitoring , 2011 .

[10]  Ronald J. M. M. Does,et al.  Quality Quandaries*: Health CareQuality—Reducing the Lengthof Stay at a Hospital , 2008 .

[11]  G. Geoffrey Vining Technical Advice: Scientific Method and Approaches for Collecting Data , 2013 .

[12]  Kenji Takeda,et al.  Multifidelity surrogate modeling of experimental and computational aerodynamic data sets , 2011 .

[13]  G. Geoffrey Vining,et al.  CUSUM Charts for Monitoring the Characteristic Life of Censored Weibull Lifetimes , 2014 .

[14]  J. Kleijnen Statistical tools for simulation practitioners , 1986 .

[15]  Robert S. Kaplan,et al.  What's your language strategy? , 2014 .

[16]  Alberto Ferrer,et al.  Latent Structures-Based Multivariate Statistical Process Control: A Paradigm Shift , 2014 .

[17]  Stefan H. Steiner,et al.  Detecting Changes in the Mean from Censored Lifetime Data , 2001 .

[18]  V. R. Joseph,et al.  ORTHOGONAL-MAXIMIN LATIN HYPERCUBE DESIGNS , 2008 .

[19]  G. Geoffrey Vining,et al.  Analysis of Reliability Experiments with Random Blocks and Subsampling , 2015 .

[20]  William H. Woodall,et al.  Statistical monitoring of nonlinear product and process quality profiles , 2007, Qual. Reliab. Eng. Int..

[21]  Sarah Eichmann,et al.  Applications Of Statistics To Industrial Experimentation , 2016 .

[22]  Søren Bisgaard,et al.  The Future of Quality Technology: From a Manufacturing to a Knowledge Economy & From Defects to Innovations , 2012 .

[23]  Connie M. Borror The certified quality engineer handbook , 2008 .

[24]  W. Nelson Statistical Methods for Reliability Data , 1998 .

[25]  Shiyu Zhou,et al.  A Simple Approach to Emulation for Computer Models With Qualitative and Quantitative Factors , 2011, Technometrics.

[26]  T. W. Layne,et al.  A Comparison of Approximation Modeling Techniques: Polynomial Versus Interpolating Models , 1998 .

[27]  Jun Li,et al.  CONSTRUCTION OF NESTED (NEARLY) ORTHOGONAL DESIGNS FOR COMPUTER EXPERIMENTS , 2013 .

[28]  Peter Z. G. Qian,et al.  Gaussian Process Models for Computer Experiments With Qualitative and Quantitative Factors , 2008, Technometrics.

[29]  Stefan H. Thomke,et al.  Experimentation Matters: Unlocking the Potential of New Technologies for Innovation , 2003 .

[30]  Runze Li,et al.  Design and Modeling for Computer Experiments , 2005 .

[31]  John F. MacGregor,et al.  Process monitoring and diagnosis by multiblock PLS methods , 1994 .

[32]  Christopher J. Nachtsheim,et al.  Split-Plot Designs: What, Why, and How , 2009 .

[33]  Douglas C. Montgomery,et al.  Using Control Charts to Monitor Process and Product Quality Profiles , 2004 .

[34]  Stefan H. Thomke,et al.  The Discipline of Business Experimentation , 2014 .

[35]  J. Antony,et al.  Six sigma in small‐ and medium‐sized UK manufacturing enterprises: Some empirical observations , 2005 .

[36]  Shapour Azarm,et al.  Bayesian meta‐modelling of engineering design simulations: a sequential approach with adaptation to irregularities in the response behaviour , 2005 .

[37]  Ronald J. M. M. Does,et al.  Quality Quandaries: Shortening the Throughput Time of a Hospital's Billing Process , 2013 .

[38]  W. Meeker Accelerated Testing: Statistical Models, Test Plans, and Data Analyses , 1991 .

[39]  Martín Tanco,et al.  How is experimentation carried out by companies? A survey of three European regions , 2008, Qual. Reliab. Eng. Int..

[40]  Derek Bingham,et al.  Prediction and Computer Model Calibration Using Outputs From Multifidelity Simulators , 2012, Technometrics.

[41]  Ronald D. Snee,et al.  Statistical Thinking and Methods in Quality Improvement: A Look to the Future , 2010 .

[42]  G. Geoffrey Vining,et al.  Reliability Data Analysis for Life Test Experiments with Subsampling , 2010 .

[43]  Gordon Johnston,et al.  Statistical Models and Methods for Lifetime Data , 2003, Technometrics.

[44]  Yulei Zhang,et al.  Computer Experiments with Qualitative and Quantitative Variables: A Review and Reexamination , 2015 .

[45]  William H. Woodall,et al.  Innovation, Quality Engineering, and Statistics , 2012 .

[46]  Russell R. Barton,et al.  Simulation metamodels , 1998, 1998 Winter Simulation Conference. Proceedings (Cat. No.98CH36274).

[47]  S. Azarm,et al.  Bayesian Meta-Modeling of Engineering Design Simulations : A Sequential Approach with Adaptation to Irregularities in the Response Behavior , 2005 .

[48]  Murat Kulahci,et al.  Designing simulation experiments with controllable and uncontrollable factors for applications in healthcare , 2011 .

[49]  Theodora Kourti,et al.  Statistical Process Control of Multivariate Processes , 1994 .

[50]  J. Macgregor,et al.  Monitoring batch processes using multiway principal component analysis , 1994 .

[51]  Ewan Macarthur,et al.  Accelerated Testing: Statistical Models, Test Plans, and Data Analysis , 1990 .

[52]  Cuthbert Daniel,et al.  Applications of Statistics to Industrial Experimentation: Daniel/Applications , 1976 .

[53]  G. Box,et al.  Problems in the analysis of growth and wear curves. , 1950, Biometrics.

[54]  Thomas J. Santner,et al.  Prediction for Computer Experiments Having Quantitative and Qualitative Input Variables , 2009, Technometrics.

[55]  J. Bert Keats,et al.  Statistical Methods for Reliability Data , 1999 .

[56]  Rassoul Noorossana,et al.  Statistical Analysis of Profile Monitoring: Noorossana/Profile Monitoring , 2011 .

[57]  Jeong‐Soo Park Optimal Latin-hypercube designs for computer experiments , 1994 .

[58]  Raymond R. Hill,et al.  A Response Surface Methodology for Modeling Time Series Response Data , 2013, Qual. Reliab. Eng. Int..

[59]  Peter Z. G. Qian,et al.  Bayesian Hierarchical Modeling for Integrating Low-Accuracy and High-Accuracy Experiments , 2008, Technometrics.

[60]  Gemai Chen,et al.  EWMA Charts for Monitoring the Mean of Censored Weibull Lifetimes , 2004 .

[61]  Alex Kuiper,et al.  Quality Quandaries: Improving the Overall Equipment Effectiveness at a Pharmaceutical Company , 2014 .

[62]  G. Geoffrey Vining,et al.  Reliability Data Analysis for Life Test Designed Experiments with Sub-Sampling , 2013, Qual. Reliab. Eng. Int..

[63]  Dan Yu,et al.  Surrogate Modeling of Computer Experiments With Different Mesh Densities , 2014, Technometrics.

[64]  Wade E. Molnau Statistical Thinking: Improving Business Performance, 2nd ed , 2014 .

[65]  Douglas C. Montgomery,et al.  Some Current Directions in the Theory and Application of Statistical Process Monitoring , 2014 .

[66]  Ronald J. M. M. Does,et al.  Quality Quandaries*: An Efficient Public Sector , 2012 .

[67]  Ronald J. M. M. Does,et al.  Quality Quandaries: Efficiency Improvement in a Nursing Department , 2009 .

[68]  Andrea Arnone Viscous Analysis of Three-Dimensional Rotor Flow Using a Multigrid Method , 1994 .

[69]  Jaime A. Camelio,et al.  A Review and Perspective on Control Charting with Image Data , 2011 .

[70]  Yong Zhang,et al.  Uniform Design: Theory and Application , 2000, Technometrics.