|
Six Sigma Green Belt-Online
 Six Sigma Green Belt training provides a solid understanding of the concept of Six Sigma along with the tools and DMAIC methodology needed to identify and effect significant improvements in quality, cost and customer satisfaction. This course will provide an understanding of how to logically work through problems with teams to effectively provide robust solutions.
Green Belts are Six Sigma project leaders capable of forming and facilitating Six Sigma teams and managing Six Sigma projects from concepts to completion. Training covers project management, quality management tools, quality control tools, problem solving and descriptive data analysis. Students will learn how to identify improvement opportunities, measure and analyze a process, develop, assess and implement solutions, and establish controls to optimize the fix and sustain the gains.
This instructor-facilitated online Six Sigma Green Belt training program, taught by a Six Sigma Black Belt, consists of 60-contact training hours and is conducted in conjunction with Six Sigma practice projects. Included are practice questions to reinforce concepts as well as the ability to communicate directly with the instructor for clarification and feedback.
Prerequisite: A knowledge of basic algebra, as well as a practical understanding of applied statistics is highly recommended.
Seminar
Fee: $2,295
Course Outline
1) Introduction: Why Six Sigma?
a) Definition and Graphical View of Six Sigma
b) DMAIC process
c) Comparisons Between typical TQM and Six Sigma Programs
d) Origins and Benefits to the methodology
2) DEFINE: Project Development and Selection
a) Voice of the Customer
b) Consensus Building Tools
i) Affinity Diagram
ii) Prioritization Matrix
c) Pareto Diagrams
d) Process Maps
e) Project Charters
f) Reporting
3) MEASURE: Tools
a) Measure Stage Objectives
b) Flowcharts
c) Process Maps
d) SIPOC
e) Check Sheets
4) MEASURE: Establishing Process Baseline & Statistics
a) Role of Statistics in Solving Business Problems
b) Statistical Terms
c) Process Variation
d) Variable and Attribute Data
e) Variable and Attribute Data
f) Types of Measurements
g) Graphical Analysis
h) Histograms
i) Measuring Central Tendency
j) Measuring Process Variability
k) Normal Probability Distribution
5) MEASURE: Control Charting
a) Benefits of Control Charts
b) Control Chart Interpretation
c) Trend Chart
d) Statistical Process Control
e) Rational Subgrouping
f) X and Moving Range Control Charts
g) Attribute Control Charts
h) X-bar and R Control Charts
i) Process Capability
6) ANALYZE: Introduction to Regression Analysis / DOE introduction
a) Cause and Effect Diagrams
b) Scatter Diagrams
c) Linear Model
d) Interpreting the ANOVA Table
e) Confidence and Prediction Limits
f) Residuals Analysis
g) Overview of Multiple Regression Tools
7) IMPROVE: Tools and Objectives
a) Improve Stage Objectives
b) Tools to Prioritize Improvement Opportunities
i) Brainstorming
c) Error Proofing and Poke-Yoke
d) Process Mapping for implementation
e) FMEA
8) CONTROL: Tools and Objectives
a) Control Stage Objectives
b) FMEA / SPC charting revisited
c) Control Plans
d) Standardization and Training
e) Measuring Improvement
f) TPM & Prevention
9) Conclusion
a) How to Deploy Six Sigma
b) Leadership Responsibilities
c) Description of the Roles and Responsibilities
d) Resource Allocation
e) Data Driven Decision Making
f) Organizational Metrics and Dashboards
For more information, contact:
Beth Stoner
Phone: (734)487-8285
estoner@emich.edu
|
