What is the data-driven method of identifying and removing causes of defects and minimizing variability of quality?

What is the data-driven method of identifying and removing causes of defects and minimizing variability of quality?

• A. Lean
• B. Six Sigma
• C. Intermittent Processes
• D. Job Shop Production

Answer: (B)

Six Sigma is a data-driven approach to identifying and removing the causes of defects and reducing variability in quality. It uses a structured improvement cycle (Define, Measure, Analyze, Improve, Control) and statistical tools to pinpoint root causes, quantify defects, and ensure that improvements are sustained. This data-centric focus on root-cause analysis and variation control sets it apart from Lean, which centers on eliminating waste and speeding flow, and from process-type labels like intermittent or job shop production, which describe how work is organized rather than how quality is systematically improved.

Six Sigma is a data-driven approach to identifying and removing the causes of defects and reducing variability in quality. It uses a structured improvement cycle (Define, Measure, Analyze, Improve, Control) and statistical tools to pinpoint root causes, quantify defects, and ensure that improvements are sustained. This data-centric focus on root-cause analysis and variation control sets it apart from Lean, which centers on eliminating waste and speeding flow, and from process-type labels like intermittent or job shop production, which describe how work is organized rather than how quality is systematically improved.