Lean Six Sigma Using SigmaXL and Minitab

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Effectively Execute Lean Six Sigma Projects using SigmaXL and Minitab

Written by a Six Sigma Master Black Belt and a Ph.D., this practical guide to Lean Six Sigma project execution follows the DMAIC (Define, Measure, Analyze, Improve, and Control) roadmap. The many real-world examples used in the book offer in-depth theoretical analyses and are implemented using the two most popular statistical software suites--SigmaXL and Minitab. This expert resource covers Lean topics ranging from basic data analysis to complex design of experiments and statistical process control. Harness the power of SigmaXL and Minitab and enable sustained positive operational results throughout your organization with help from this authoritative guide.

Lean Six Sigma Using SigmaXL and Minitab explains how to:

• Define the project goals, project manager, value statement, stakeholders, and risk
  
• Schedule tasks using the Gantt chart, critical path analysis, and program evaluation and review technique
  
• Capture the voice of internal and external customers
• Assess the cost of quality
• Gather data and measure process performance
  
• Perform process capabilities analysis
• Apply Lean Six Sigma metrics to determine baseline performance
• Implement analysis techniques such as Pareto analysis, value stream mapping, failure mode and effect analysis (FMEA), and  regression analysis
  
• Identify constraints via factorial experiments, and implement process improvements
• Monitor production performance using statistical process control

 

Issa Bass is a Master Black Belt and senior consultant with Manor House and Associates. He is the founding editor of SixSigmaFirst.com. Bass has extensive experience in quality and operations management, and is also the author of Six Sigma Statistics with Minitab and Excel. Barbara Lawton, Ph.D., is a Six Sigma Black Belt, and has been improving manufacturing processes using Lean techniques and Six Sigma for more than 15 years, in various industries on 3 continents. Dr. Lawton specializes in data analysis, and is a keen experimentalist and problem solver, using a wide range of statistical tools. She currently works for one of the world’s leading aerospace organizations in the UK.