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Multi-factorial Lean Six Sigma product optimization for quality, leanness and safety
16 references·0 citing·44 second hop
Multi-factorial Lean Six Sigma product optimization for quality, leanness and safety (2014)Multi-factorial Lean Six Sigma product op…Design of Experiments for Engineers and Scientists (2014)Design of Experiments for Eng…The continuing evolution of Lean Six Sigma (2012)The continuing evolution of L…Lean Six Sigma (LSS): an implementation experience (2012)Lean Six Sigma (LSS): an impl…Critical success factors for the effective implementation of Lean Sigma (2012)Critical success factors for …Six Sigma vs Lean (2011)Six Sigma vs LeanLean Six Sigma: the contribution to business excellence (2011)Lean Six Sigma: the contribut…Desirability function approach: A review and performance evaluation in adverse conditions (2011)Desirability function approac…Critical success factors for Lean Six Sigma programmes: a view from middle management (2011)Critical success factors for …A conceptual model for the successful deployment of Lean Six Sigma (2011)A conceptual model for the su…The integration of Six Sigma and lean management (2010)The integration of Six Sigma …Six Sigma quality: a structured review and implications for future research (2010)Six Sigma quality: a structur…A review of robust design methods for multiple responses (2004)A review of robust design met…Statistical Quality Control (2003)Statistical Quality ControlThirteen Ways to Look at the Correlation Coefficient (1988)Thirteen Ways to Look at the …Simultaneous Optimization of Several Response Variables (1980)Simultaneous Optimization of …Statistics for Experimenters (1979)Statistics for ExperimentersChief executives define their own data needs. (1979)The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance (2000)Critical success factors for lean implementation within SMEs (2006)Lean Six Sigma: a categorized review of the literature (2016)A comparative exploration of lean manufacturing and six sigma in terms of their critical success factors (2017)A structured review of Lean Six Sigma in various industrial sectors (2018)Six-Sigma: the evolution of 100 years of business improvement methodology (2004)Lean Six Sigma – getting better all the time (2010)Lean Manufacturing Case Study with Kanban System Implementation (2013)Lean services: a systematic review (2016)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Experiments - Planning, Analysis and Parameter Design Optimization (2001)Optimization of Analytical Methods Using Response Surface Methodology - Part I: Process Variables (2017)Simultaneous optimization of multiple responses and its application in Analytical Chemistry – A review (2018)Response surface methodology as a tool to optimize the extraction of bioactive compounds from plant sources (2022)The fifth discipline, the art and practice of the learning organization (1991)Total quality management as competitive advantage: A review and empirical study (1995)The New Economics: For Industry, Government, Education (1996)Leadership – a critical success factor for the effective implementation of Lean Six Sigma (2016)A morphological analysis of research literature on Lean Six Sigma for services (2017)A Service Quality Model and its Marketing Implications (1984)A Conceptual Model of Service Quality and Its Implications for Future Research (1985)SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality (1988)Big data and disaster management: a systematic review and agenda for future research (2017)Learning to evolve (2004)The genealogy of lean production (2006)Six Sigma: Definition and underlying theory⋆ (2007)Lean, Six Sigma and Lean Six Sigma: an analysis based on operations strategy (2013)A systematic review of Lean Six Sigma for the manufacturing industry (2015)Green lean and the need for Six Sigma (2015)Statistical Theories of Mental Test Scores (1969)The Foundations of Factor Analysis. (1975)The Essential Guide to Effect Sizes (2010)Educational measurement. (2015)Textual Analysis in Accounting and Finance: A Survey (2016)Correlation Coefficients: Appropriate Use and Interpretation (2018)Box-Behnken design: An alternative for the optimization of analytical methods (2007)Response surface methodology (2010)Experimental design and multiple response optimization. Using the desirability function in analytical methods development (2014)Empirical Model Building and Response Surfaces (1988)Handbook on Constructing Composite Indicators: Methodology and User Guide (2008)Opening the ‘black box’ of simulations: increased transparency and effective communication through the systematic design of experiments (2011)Competence assessment as an expert system for human resource management: A mathematical approach (2016)Design of experiments applied to lithium-ion batteries: A literature review (2022)
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References

  • 1979Statistics for Experimenters6,750 cited
  • 1980Simultaneous Optimization of Several Response Variables5,233 cited
  • 1988Thirteen Ways to Look at the Correlation Coefficient4,068 cited
  • 2014Design of Experiments for Engineers and Scientists1,008 cited
  • 2011Desirability function approach: A review and performance evaluation in adverse conditions446 cited
  • 2010The integration of Six Sigma and lean management370 cited
  • 2010Six Sigma quality: a structured review and implications for future research260 cited
  • 2011A conceptual model for the successful deployment of Lean Six Sigma251 cited
  • 2012Critical success factors for the effective implementation of Lean Sigma248 cited
  • 2011Six Sigma vs Lean220 cited
  • 2011Critical success factors for Lean Six Sigma programmes: a view from middle management211 cited
  • 2003Statistical Quality Control182 cited
  • 2004A review of robust design methods for multiple responses128 cited
  • 2011Lean Six Sigma: the contribution to business excellence119 cited
  • 2012The continuing evolution of Lean Six Sigma98 cited
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Lean Six Sigma (LSS): an implementation experience
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