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Full Description
Continuous improvement has become synonymous with the Six Sigma process, where cost reduction and quality improvement have led to greater market share and profits. Leading organizations in diverse industries have begun to further deploy Six Sigma outside of manufacturing to maximize its benefits. This comprehensive training tool and implementation guide delineates how Six Sigma methods can be applied to processes within numerous functional areas of the organization and in diverse industries to achieve strategic and operational business excellence. It presents step-by-step techniques and flow diagrams for integrating Six Sigma as best practices into business development and management. It provides a seamless integration of Six Sigma statistical methodologies that help businesses execute their strategic plans and track both their short- and long-term strategic progress within various areas of their business. Statistical methods employed in Six Sigma are thoroughly explained and their implementation, supported by examples and exercises, is demonstrated via Minitab 14, a popular statistical software package. Six Sigma Best Practices is an ideal text for executive training in planning and leading Six Sigma programs, for Yellow, Green and Black Belt certification programs, for college courses and as a desk reference for practitioners and consultants.
Contents
Chapter 1: Introduction1.1 - History1.2 - Business Market and Expectations1.3 - What Is Sigma?1.4 - Six Sigma Approach1.5 - Road Map for Six Sigma Process1.6 - Six Sigma Implementation Structure1.7 - Project Selection1.8 - Project Team Selection1.9 - Project Planning and Management1.10 - Project Charter1.11 - SummaryChapter 2: Define2.1 - Customer2.2 - High-Level Process2.3 - Detailed Process Mapping2.4 - SummaryChapter 3: Measure 3.1 - Foundation of Measure3.2 - Measuring Tools3.3 - Data Collection Plan3.4 - Data Presentation Plan3.5 - Introduction to MINITAB3.6 - Determining Sample Size3.7 - Probabilistic Data Distribution 3.8 - Calculating Sigma3.9 - Process Capability (Cp, Cpk) and Process Performance (Pp, Ppk) Indices3.10 - SummaryChapter 4: Analyze4.1 - Stratification 4.2 - Hypothesis Testing: Classical Techniques4.3 - Hypothesis Testing: The Chi-Square Technique4.4 - Analysis of Variance4.5 - Regression and Correlation4.6 - SummaryChapter 5: Improve5.1 - Process Reengineering5.2 - Guide to Improvement Strategies for Factors and Alternatives5.3 - Introduction to Design of Experiments5.4 - Solution Alternatives5.5 - SummaryChapter 6: Control 6.1 - Self-Control6.2 - Monitor Constraints6.3 - Error-Proofing6.4 - Statistical Process Control Techniques6.5 - Final Project Summary6.6 - Summary Appendices:Business Strategic PlanningThe Manufacturing Strategy and the Supply ChainThe Production Systems and Support ServicesGlossary of TermsTablesIndex
