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Lean Six Sigma Black Belt Training Certification -299 pages

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Six Sigma, or 6σ, is both a methodology for process improvement and a statistical concept that seeks to
define the variation inherent in any process.

The overarching premise of Six Sigma is that variation in a
process leads to opportunities for error; opportunities for error then lead to risks for product defects.

Product defects—whether in a tangible process or a service—lead to poor customer satisfaction. By
working to reduce variation and opportunities for error, the Six Sigma method ultimately reduces
process costs and increases customer satisfaction.

Data Driven Processes and Decisions
In applying Six Sigma, organizations, teams, and project managers seek to implement strategies that are
based on measurement and metrics. Historically, many business leaders made decisions based on
intuition or experience. Despite some common beliefs in various industries, Six Sigma doesn’t remove
the need for experienced leadership, and it doesn’t negate the importance of intuition in any process.
Instead, Six Sigma works alongside other skills, experience, and knowledge to provide a mathematical
and statistical foundation for decision making.

Experience might say a process isn’t working; statistics
prove that to be true. Intuition might guide a project manager to believe a certain change could improve
output; Six Sigma tools help organizations validate those assumptions.

Table of Contents below, 



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