The fundamental objective of the Six Sigma methodology is the implementation of a measurement-based strategy that focuses on process improvement and variation reduction. Six Sigma includes data driven tools and techniques to help practitioners to objectively understand and quantify how their processes perform. Six Sigma is about letting the data tell the true story and leading the practitioner to the “root cause” to solve complex problems that have multiple “factors” that have varying degrees of impact on performance.

The objective of the Six Sigma methodology is the implementation of a measurement-based strategy that focuses on process improvement and variation reduction.

Six Sigma Methodology (DMAIC, DMADV, DFSS)

Six Sigma is a rigorous problem solving methodology that uses well-defined progression phases of Define, Measure, Analyze, Improve and Control, popularly known by the acronym, DMAIC. Define is problem definition, making sure you are solving the correct problem. Measure is gathering data that help explain the problem. Analyze is reviewing the data to find patterns that lead to the root cause. Improve is making changes in the process based on the analysis. Control is putting in place to ensure improvements are sustained. For the design and development of new systems or processes, there is a similarly defined progression of phases known as Define, Measure, Analyze, Design and Verify (DMADV) or also referred to as Design For Six Sigma (DFSS).

Six Sigma Principles (reduction in variation)

The Six Sigma methodology was originally implemented in the semi-conductor and electronics industry to reduce variation in manufacturing processes. While the tools have been applied well beyond manufacturing, the principles have held; that improvement in quality comes from the reduction in variation of your process.