Overview/Description Target Audience Prerequisites Expected Duration Lesson Objectives Course Number Overview/Description
Six Sigma is a data-driven improvement philosophy that views all activities within an organization as processes whose inputs can be controlled to effect significant improvements in process outputs. Six Sigma uses a rigorous and systematic methodology known as DMAIC (define, measure, analyze, improve, and control) and a number of qualitative and quantitative tools for driving process, product, and service improvements aimed at reducing defects and variation. Lean is also an improvement methodology, but with a different focus, aiming to enhance process flow, reduce cycle time, and eliminate waste. Though Lean and Six Sigma originated in different places and under different circumstances, they are now largely seen as complementary methodologies rather than mutually exclusive alternatives. Companies across various industries are striving to become faster and more responsive to customers, achieve near perfect quality, and operate using world-class cost structures. You need both Lean and Six Sigma to achieve these goals. This course explores the relationship between the Lean and Six Sigma approaches and their integrated application in both manufacturing and service industries. This course is aligned with the ASQ Certified Six Sigma Black Belt certification exam and is designed to assist learners as part of their exam preparation. It builds on foundational knowledge that is taught in SkillSoft’s ASQ-aligned Green Belt curriculum.
Target Audience
Candidates seeking Six Sigma Black Belt certification, quality professionals, engineers, production managers, frontline supervisors, and all individuals charged with responsibility for improving quality and processes at the organizational or departmental level, including process owners and champions
Prerequisites
Proficiency at the Green Belt level with the tools and concepts of Lean and Six Sigma and their origins as scoped in the ASQ – Six Sigma Green Belt Body of Knowledge (BOK)