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Springer Six Sigma: A Case Study Approach Using Minitab - Engineering

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Description

This comprehensive guide introduces Six Sigma methodology for reducing defects and variation in industrial processes through the DMAIC framework (Define, Measure, Analyze, Improve, Control). Written by Springer, the book combines practical statistics with Minitab software to equip readers with data-centric problem-solving skills for real-world engineering challenges. Through an imaginary case study, the author demonstrates how to apply DMAIC phases and use Minitab effectively, enabling readers to tackle novel problems where root causes and solutions are not immediately apparent. The text includes actual datasets and step-by-step instructions for data analysis, making it an ideal resource for engineering students, quality professionals, and anyone seeking to master continuous improvement techniques and statistical process control in manufacturing and service environments.

Key Features

Six Sigma methodology teaches the DMAIC framework (Define, Measure, Analyze, Improve, Control) for systematic process improvement and defect reduction.

Minitab software integration provides practical instruction on statistical analysis tools essential for data-driven decision making in quality engineering.

Case study approach walks readers through real-world problem scenarios with included datasets and analysis instructions for hands-on learning.

Applied statistics foundation enables engineers and quality professionals to identify root causes and develop solutions for complex process challenges.

Higher education resource designed for engineering students, Six Sigma practitioners, and quality management professionals seeking formal training in continuous improvement.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
15 April 2023
Listed Since
17 March 2023

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