Research and Markets: Maintain Quality and Reliability in Systems with this new report 'Six Sigma: Advanced Tools for Black Belts and Master Black Belts'.DUBLIN, Ireland -- Research and Markets (http://www.researchandmarkets.com/reports/c43831) has announced the addition of "Six Sigma Not to be confused with Sigma 6. Six Sigma is a set of practices originally developed by Motorola to systematically improve processes by eliminating defects.[1] A defect is defined as nonconformity of a product or service to its specifications. : Advanced Tools for Black Belts and Master Black Belts" to their offering. This book is a valuable reference text that systematically outlines the DMAIC DMAIC Define, Measure, Analyze, Improve, Control DMAIC Design, Measure, Analyze, Improve, Control (5 stages of Six Sigma Quality Improvement and Assurance) approach to advanced tools for implementing Six Sigma projects in industry. The authors begin by providing an introduction to, or 'definition' of Six Sigma. The following section on 'Measure', begins with a description of this phase, ending with a comparative study of computing processes and capability indices for non-normal data. In the next phase entitled 'Analyse', the authors debate various tests for normality normality, in chemistry: see concentration. , proportions, and goodness-of-fit, and examine graphical approaches and data transformation for geometrically distributed quality characteristics. The following phase analyses ways of gaining improved quality in experiments, such as factorial factorial For any whole number, the product of all the counting numbers up to and including itself. It is indicated with an exclamation point: 4! (read “four factorial”) is 1 × 2 × 3 × 4 = 24. , fractional and robust designs, and Taguchi methods Taguchi methods are statistical methods developed by Genichi Taguchi to improve the quality of manufactured goods and, more recently, to biotechnology [1], marketing and advertising. . The last phase, 'Control', charts tools to maintain quality and reliability in systems. Statistical process control in auto-correlated systems is discussed, along with simultaneous monitoring of sample and group autocorrelations. Key Topics Covered Include: * Six Sigma: A Preamble (H. S. Yam) * A Strategic Assessment of Six Sigma (T. N. Goh) * Six Sigma SWOT (T. N. Goh and L. C. Tang) * The Essence of Design for Six Sigma The introduction to this article provides insufficient context for those unfamiliar with the subject matter. Please help [ improve the introduction] to meet Wikipedia's layout standards. You can discuss the issue on the talk page. (L. C. Tang) * Fortifying Six Sigma with OR/MS Tools (L. C. Tang and T. N. Goh) * Process Variations and Their Estimates (L. C. Tang and H. S. Yam) * Fishbone Diagrams vs. Mind Maps (Timothy Yoap) * Current and Future Reality Trees (Timothy Yoap) * Computing Process Capability Indices for Nonnormal Data:A Review. and Comparative Study (L. C. Tang). * Process Capability Analysis for Non-Normal Data with MINITAB (Timothy Yoap) * Goodness-of-Fit Tests for Normality (L. C. Tang) * Introduction to the Analysis of Categorical Data These are statistical procedures which can be used for the analysis of categorical data:
* Development of A Moisture Soak Model For Surface * A Glossary for Design of Experiments with Examples (H. S. Yam) * Some Strategies for Experimentation under Operational Constraints (T. N. Goh) * Taguchi Methods: Some Technical, Cultural and Pedagogical ped·a·gog·ic also ped·a·gog·i·cal adj. 1. Of, relating to, or characteristic of pedagogy. 2. Characterized by pedantic formality: a haughty, pedagogic manner. Perspectives (T. N. Goh) * Economical Experimentation via 'Lean Design' (T. N. Goh) * A Unified Approach for Dual Response Surface Optimization (L. C. Tang and K. Xu) * Establishing Cumulative Conformance Count Charts (L. C. Tang) * Simultaneous Monitoring of the Mean, Variance and Autocorrelation Autocorrelation The correlation of a variable with itself over successive time intervals. Sometimes called serial correlation. * Statistical Process Control for Autocorrelated Processes :A Survey and An Innovative Approach (L. C. Tang) * Cumulative Sum Charts with Fast Initial Response (L. C. Tang and O. O. Atienza) * CUSUM and Backward CUSUM for Autocorrelated Observations (L. C. Tang) For more information visit http://www.researchandmarkets.com/reports/c43831 |
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