To improve the processes behind an organization's products and services, a Six Sigma Black Belt must measure them. Among the many Six Sigma tools, several are designed specifically to identify and prioritize process input and output variables and their importance relative to customer or business requirements. Using cause-and-effect matrices, Black Belts can determine which process inputs to target first. Using process efficiency formulas, they can determine the ratio of value-added time to total lead time, then enhance this ratio by reducing that troublesome drag on lead time – work in process. With metrics established, Black Belts can recommend approaches to balance the flow of processes and determine the impact that 'hidden factories' could have on process flow metrics. Looking closer at the steps of a given process, Black Belts are then able to wield a number of analysis tools such as flowcharts, spaghetti diagrams, process maps, value stream maps, and gemba walk to reveal lurking time traps, constraints, and wasted steps – all with a view of improving process characteristics for optimum efficiency. This course provides strategies to measure the current state of an organization's processes by analyzing the variables of its processes, using metrics to calculate process flow performance, and employing tools to analyze processes. 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.
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
Proficiency at the Green Belt level with process variables and analysis tools as scoped in the ASQ - Six Sigma Green Belt Body of Knowledge (BOK)