Six Sigma Case Studies with Minitab

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Six Sigma Case Studies with Minitab

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  • 製本 Hardcover:ハードカバー版/ページ数 318 p.
  • 言語 ENG
  • 商品コード 9781482205572
  • DDC分類 658.4013

Full Description

What happens when one of the most widely used quality improvement methodologies meets the world's leading statistical software for quality improvement? Packed with case studies in a variety of sectors, including health care, manufacturing, airlines, and fast food restaurants, Six Sigma Case Studies with Minitab® shows you how to maximize the quality analysis and improvement tools available in Minitab® for your Six Sigma projects.

Highly illustrated, the book includes detailed steps and more than 380 screenshots that explain how to use:

Confidence Interval Estimation
Hypothesis Testing
Chi-Square Analysis
Process Capability Analysis
Binary Logistic Regression
Item Analysis
Cluster Analysis
Mixture Design and Analysis of Experiments
Multivariate Analysis
Pareto Charts
Cause-and-Effect Diagram
Gage Repeatability and Reproducibility Analysis
Taguchi Design and Analysis of Experiments
Factorial Design and Analysis of Experiments
Statistical Control Charts

The case studies demonstrate the wide range of sectors and uses for Six Sigma and Minitab®. The screenshots provide exceptional detail and the book includes explanations for many Six Sigma terms and an appendix with the contents of the Minitab® worksheets that are referred to in most of the chapters. These features and more give you the tools to meet the challenges of continuous improvement expected in today's marketplace.

Contents

Introduction to Six Sigma Quality. Quality Analysis and Improvement Tools/Techniques. Six Sigma Case Studies. Confidence Intervals to Assess Variation in Fat Content at a Fast-Food Restaurant. Hypothesis Testing for Quality Control at a Manufacturing Company. Chi-Square Analysis to Verify Quality of Candy Packets. Process Capability Analysis at a Manufacturing Company. Binary Logistic Regression to Predict Customer Satisfaction at a Restaurant. Item Analysis and Cluster Analysis to Gather "Voice of the Customer" (VOC) Data from Employees at a Service Firm. Mixture Designs to Optimize Pollution Level and Temperature of Fuels. Multivariate Analysis to Reduce Patient Waiting Time at a Medical Center. Pareto Chart and Fishbone Diagram to Minimize Recyclable Waste Disposal in a Town. Measurement System Analysis at a Medical Equipment Manufacturer. Taguchi Design to Improve Customer Satisfaction of an Airline Company. Factorial Design of Experiments to Optimize a Chemical Process. Chi-Square Test to Verify Source Association with Parts Purchased and Products Produced.

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