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Steps and strategies in process improvement
16 references·4 citing·35 second hop
Steps and strategies in process improvement (2000)Steps and strategies in process improveme…Implementing Six Sigma: Smarter Solutions Using Statistical Methods (2000)Implementing Six Sigma: Smart…Design and Analysis of Experiments (1998)Design and Analysis of Experi…Taguchi Techniques for Quality Engineering (1997)Taguchi Techniques for Qualit…How to Achieve a Robust Process Using Response Surface Methodology (1994)How to Achieve a Robust Proce…Understanding Statistical Process Control (1993)Understanding Statistical Pro…Statistical Process Control: Theory and Practice (1993)Statistical Process Control: …Taguchi's Parameter Design: A Panel Discussion (1992)Taguchi's Parameter Design: A…World‐class quality (1991)World‐class qualityStatistical Process Control (1991)Statistical Process ControlStatistical Thinking and Its Contribution to Total Quality (1990)Statistical Thinking and Its …Combining Taguchi and Response Surface Philosophies: A Dual Response Approach (1990)Combining Taguchi and Respons…Taguchi Techniques for Quality Engineering (1989)Taguchi Techniques for Qualit…Empirical Model Building and Response Surfaces (1988)Empirical Model Building and …Introduction to Quality Engineering: Designing Quality into Products and Processes (1986)Introduction to Quality Engin…Economic Control of Quality of Manufactured Product. (1932)Economic Control of Quality o…Economic control of quality of manufactured product (1932)Economic control of quality o…An Application of Six Sigma to Reduce Supplier Quality Cost (2015)An Application of Six Sigma t…Comparing Different Approaches for Design of Experiments (DoE) (2009)Comparing Different Approache…An Overview of the Shainin System™ for Quality Improvement (2007)An Overview of the Shainin Sy…A methodological comparison of three strategies for quality improvement (2004)A methodological comparison o…Some New Three Level Designs for the Study of Quantitative Variables (1960)Off-Line Quality Control, Parameter Design, and the Taguchi Method (1985)Empirical Model-Building and Response Surfaces. (1988)AN OVERVIEW OF TAGUCHI METHOD AND NEWLY DEVELOPED STATISTICAL METHODS FOR ROBUST DESIGN (1992)Response Surface Alternatives to the Taguchi Robust Parameter Design Approach (1992)Dual Response Surface Optimization (1995)Statistics for Experimenters (1979)Design and Analysis of Computer Experiments (1989)A Procedure for Robust Design: Minimizing Variations Caused by Noise Factors and Control Factors (1996)A Comparison of Three Methods for Selecting Values of Input Variables in the Analysis of Output from a Computer Code (2000)Response Surface Methodology: A Retrospective and Literature Survey (2004)The Taguchi methodology as a statistical tool for biotechnological applications: A critical appraisal (2008)Taguchi Techniques for Quality Engineering (1989)Simultaneous optimization of multi-response problems in the Taguchi method using genetic algorithm (2006)Parameter optimization of laser transformation hardening by using Taguchi method and utility concept (2010)Process improvement through Six Sigma with Beta correction: a case study of manufacturing company (2013)Statistics for Experimenters: An Introduction to Design, Data Analysis and Model Building. (1979)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)One-Factor-at-a-Time versus Designed Experiments (1999)Research Issues and Ideas in Statistical Process Control (1999)Identification and Review of Sensitivity Analysis Methods (2002)Response Surfaces: Designs and Analyses (1997)Latin hypercube sampling and the propagation of uncertainty in analyses of complex systems (2003)Explaining Fixed Effects: Random Effects Modeling of Time-Series Cross-Sectional and Panel Data (2014)Procedures for Reacting to a Change in Distribution (1971)Statistical process control as a tool for research and healthcare improvement (2003)Data quality for data science, predictive analytics, and big data in supply chain management: An introduction to the problem and suggestions for research and applications (2014)An artificial neural network (p,d,q) model for timeseries forecasting (2009)A novel hybrid MCDM model combining the SAW, TOPSIS and GRA methods based on experimental design (2016)Implementing the Lean Sigma framework in an Indian SME: a case study (2006)Total Survey Error: Design, Implementation, and Evaluation (2010)An analysis of the Six Sigma DMAIC method from the perspective of problem solving (2012)Customer Contributions to Quality: A Different View of the Customer-Oriented Firm (1996)Signal-to-Noise Ratios, Performance Criteria, and Transformations (1988)Economical Experimentation Methods for Robust Design (1991)
this work references cited by second hop

References

  • 1988Empirical Model Building and Response Surfaces5,235 cited
  • 1932Economic Control of Quality of Manufactured Product.3,069 cited
  • 1989Taguchi Techniques for Quality Engineering2,721 cited
  • 1998Design and Analysis of Experiments1,877 cited
  • 1932Economic control of quality of manufactured product1,245 cited
  • 1986Introduction to Quality Engineering: Designing Quality into Products and Processes1,155 cited
  • 2000Implementing Six Sigma: Smarter Solutions Using Statistical Methods772 cited
  • 1992Taguchi's Parameter Design: A Panel Discussion714 cited
  • 1990Combining Taguchi and Response Surface Philosophies: A Dual Response Approach653 cited
  • 1997Taguchi Techniques for Quality Engineering533 cited
  • 1993Understanding Statistical Process Control240 cited
  • 1991Statistical Process Control184 cited
  • 1994How to Achieve a Robust Process Using Response Surface Methodology156 cited
  • 1990Statistical Thinking and Its Contribution to Total Quality153 cited
  • 1993Statistical Process Control: Theory and Practice145 cited
  • 1991World‐class quality

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67 cited

Cited by

  • 2004A methodological comparison of three strategies for quality improvement81 cited
  • 2007An Overview of the Shainin System™ for Quality Improvement60 cited
  • 2009Comparing Different Approaches for Design of Experiments (DoE)43 cited
  • 2015An Application of Six Sigma to Reduce Supplier Quality Cost20 cited