Six Sigma was developed with a very specific goal: reduce variation and defect rates in production processes through statistical analysis. To do this ... providing maximum value to customers with the ...

Its purpose was to remove non-value-adding activities from the ... Lean Six Sigma combines aspects of Six Sigma (such as data analysis) and aspects of the Lean methodology (such as waste ...

It prioritizes delivering incremental value to customers through ... to identify inefficiencies and apply Lean Six Sigma ...

Organizations that deploy Six Sigma strategies strive to ... Obviously, the goal of the analysis component is to understand where value can be generated from creating a new process or reworking ...

Value Stream Mapping ... particular data groups allowing the Six Sigma teams to point out the most significant threats against the process. Regression Analysis: Regression analysis is a ...

Lean and Six Sigma are the perfect pair for improving ... customers), stakeholder analysis, seven wastes, value stream mapping, flow, fishbone diagram, regression analysis, project management ...

Lean Six Sigma (LSS) is a vital part of today's ... effort by the Secretary of Defense in May 2010, the LSS value stream analysis is now a fundamental step within the cost-benefit analysis for ...

Six Sigma focuses on reducing process variation and enhancing process control, whereas lean drives out waste (non-value-added processes ... Failure Mode and Effect Analysis — are excellent ...

Following the Six Sigma model typically improves the value to customers by improving ... amount of statistical data gathering and analysis. The process is complicated and time consuming.

Six Sigma analysis tends to begin with the formulation ... another manufacturing technique designed to weed out non-value-adding subprocesses. Other organizations fine-tune the DMAIC model as ...