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Artificial Neural Networks as a quality loss function for Six Sigma
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Artificial Neural Networks as a quality loss function for Six Sigma (2018)Artificial Neural Networks as a quality l…An Overview of Six Sigma (2008)An Overview of Six SigmaSix Sigma: literature review and key future research areas (2006)Six Sigma: literature review …Six Sigma Literature: A Review and Agenda for Future Research (2006)Six Sigma Literature: A Revie…Taguchi's Quality Engineering Handbook (2004)Taguchi's Quality Engineering…Total Quality Management & Business Excellence (2003)Total Quality Management & Bu…CONSTRAINED MULTIVARIATE LOSS FUNCTION MINIMIZATION (2001)CONSTRAINED MULTIVARIATE LOSS…THE EVOLUTION OF SIX SIGMA (2000)THE EVOLUTION OF SIX SIGMAApplying neural network approach to achieve robust design for dynamic quality characteristics (1998)Applying neural network appro…Taguchi Techniques for Quality Engineering (1989)STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING (1993)Quality Loss Functions for Optimization across Multiple Response Surfaces (1997)Statistics for Experimenters (1979)Implementing Six Sigma: Smarter Solutions Using Statistical Methods (2000)Six sigma seen as a methodology for total quality management (2001)How management innovation happens (2006)Six Sigma quality: a structured review and implications for future research (2010)A Conceptual Model of Service Quality and Its Implications for Future Research (1985)Six Sigma: a goal‐theoretic perspective (2002)Uptake and success factors of Six Sigma in the financial services industry (2010)Structural equation modelling on knowledge creation in Six Sigma DMAIC project and its impact on organizational performance (2015)How IJPR has addressed ‘lean’: a literature review using bibliometric tools (2019)Quality Engineering Using Robust Design (1991)Taguchi Methods: A Hands-On Approach (1994)Engineering Methods for Robust Product Design (1996)Comparison of performances of five prospective approaches for the multi-response optimization (2009)Assessing effectiveness of the various performance metrics for multi-response optimization using multiple regression (2010)Managing quality: the strategic and competitive edge (1989)MANAGEMENT THEORY AND TOTAL QUALITY: IMPROVING RESEARCH AND PRACTICE THROUGH THEORY DEVELOPMENT (1994)The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance (2000)Six Sigma: a literature review (2010)An analysis of the Six Sigma DMAIC method from the perspective of problem solving (2012)Out of the Crisis (1982)Introduction to Statistical Quality Control (1992)Lean Thinking—Banish Waste and Create Wealth in your Corporation (1997)Some Current Directions in the Theory and Application of Statistical Process Monitoring (2014)A comparative exploration of lean manufacturing and six sigma in terms of their critical success factors (2017)Social Ties and Word-of-Mouth Referral Behavior (1987)Response Determinants in Satisfaction Judgments (1988)Measuring Customer Satisfaction: Fact and Artifact (1992)Business excellence models: limitations, reflections and further development (2013)A double-edged sword? Exploring the impact of students’ academic usage of mobile devices on technostress and academic performance (2019)Greenwash and green purchase behavior: an environmentally sustainable perspective (2021)Realities of supply chain collaboration (2006)A review of practices for robust design methodology (2008)Optimizing a multi-vendor multi-retailer vendor managed inventory problem: Two tuned meta-heuristic algorithms (2013)
this work references cited by second hop

References

  • 2004Taguchi's Quality Engineering Handbook1,095 cited
  • 2003Total Quality Management & Business Excellence360 cited
  • 2006Six Sigma Literature: A Review and Agenda for Future Research272 cited
  • 2008An Overview of Six Sigma272 cited
  • 2000THE EVOLUTION OF SIX SIGMA267 cited
  • 2006Six Sigma: literature review and key future research areas142 cited
  • 1998Applying neural network approach to achieve robust design for dynamic quality characteristics47 cited
  • 2001CONSTRAINED MULTIVARIATE LOSS FUNCTION MINIMIZATION16 cited

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