Lean Six Sigma Green Belt

Program Objectives

Students participating in the Lean Six Sigma Green Belt Program will learn:

• To understand the history and the contributing developers of lean and six sigma.
• To understand the strategic objective of lean and six sigma.
• To become conversant in lean and six sigma tools and methods.
• To achieve successful project implementation and value-added improvement to processes.
• To understand the Six Sigma methodology, Six Sigma metrics, and analytical skills for successful application.

Who Should Attend

The program is aimed at directors, managers, engineers, supervisors and other employees who are part of continuous improvement team within the organization. Students should have a working knowledge of statistics to start this program, such as a college-level statistics course or experience using statistical tools in the workplace.

Program Requirements

The Lean Six Sigma Green Belt professional development program is a combination of course work and a green belt project. A quiz will be administered at the end of each instructional week. Students must earn a 70% or higher on each quiz.

Students will have 30 days after the end of the training to complete and submit a LSSGB project. Students who meet the quiz and project requirements will receive a Lean Six Sigma Green Belt certification from the Ira A. Fulton Schools of Engineering at Arizona State University.

Course Topics

Participants will learn lean methods, tools and project execution, as well as integration of six sigma methods, tools and approaches. The following topics will be covered in the Lean Six Sigma Green Belt program:

Week 1: Lean Methods, Tools, and Project Execution

• Lean Introduction
• Introduction to Strategic Value Processes
• Lean Principles
• Creation of a Lean Roadmap
• Value Focus of Lean
• Identifying Strategic Value via a Strategic Assessment
• Key Performance Indicators for Lean Success
• Value Stream Mapping
• Introduction to Factory Physics
• Executing the Lean Program
• Value Process Project Design

Week 2: Integration of Six Sigma Methods, Tools, and Approaches

• Integration of Lean and Six Sigma
• Six Sigma Overview
• The DMAIC Problem Solving Approach
• Measure – choosing metrics, establishing a measurement system, collecting data, voice of the customer
• Analyze-Introduction to Analytical Tools, Pareto Analysis, Cause and Effect Analysis
• Graphical and Numerical Tools – Histograms, Box Plots, Stem and Leaf Diagrams
• The Normal and Other Important Distributions
• Process Capability Analysis
• Measurement Systems Analysis
• Relationships between Variables, Correlation, Regression Analysis for Two Variables
• Overview of Inferential Statistics – Tests and Confidence Intervals
• Improve and Control
• Statistical Process Control Overview
• Design of Experiments Overview
• Design for Six Sigma Overview
• Six Sigma and Lean in Transactional and Service Organizations
• Project  Planning and Execution

These topics can be customized for companies to offer at ASU or on site at the company.

Faculty

Douglas C. Montgomery, Ph.D., is a Regents Professor of Industrial Engineering and Statistics, and ASU Foundation Professor of Engineering at Arizona State University. Additional accolades include;

• John M. Fluke Distinguished Professor of Engineering, Director of Industrial Engineering and Professor of Mechanical Engineering at the University of Washington in Seattle

• Professor of Industrial and Systems Engineering at Georgia Tech

• BSIE, MS and Ph.D. degrees from Virginia Tech

• Recipient of the Shewhart Medal, William G. Hunter Award, Brumbaugh Award, and the Shewell Award (twice) from the American Society for Quality Control

• Interests focus on industrial statistics, including design of experiments, quality and reliability engineering, applications of linear models, and time series analysis and forecasting

• Industrial experience includes engineering assignments with Union Carbide Corporation and Eli Lilly and Company, and extensive consulting experience

• Visiting Professor of Engineering at the Monterey Institute of Technology in Monterrey, Mexico, and a University Distinguished Visitor at the University of Manitoba

• The Office of Naval Research, the National Science Foundation, the United States Army, and private industry have sponsored Dr. Montgomery's research

Dan Shunk, Ph.D. is a professor of Industrial Engineering in the Ira A. Fulton Schools of Engineering at ASU. Shunk received his B.S.I.E., his M.S.I.E. and his Ph.D. degrees from Purdue University in 1971, 1972 and 1976, respectively. Other accolades include:

• Captain and Co-Founder of the ICAM Program for the United States Air Force

• Extensive industry experience at the Rockwell Corporation, International Harvester, GCA Corporation, Motorola, the United States Army, Digital Equipment Corporation, SUN Microsystems, Transcript Communications, Level One Communications, Intel, Oracle and Avnet

• Arrived from industry to ASU in 1984 as an associate professor of industrial engineering and from 1984 to 1994, served as the CIM Systems Research Center Director

• Avnet Chair of Supply Network Integration

• Teaches graduate courses in enterprise modeling and integration and formulation of strategy and policy in the organization in W. P. Carey MBA - Technology Program and the W. P. Carey MBA Technology Program in China

• Research and teaching interests are in the areas of computer integrated manufacturing, electronic commerce progression, time compression, cultural acceptance of change, enterprise integration and material/information/knowledge supply network integration

Dr. Connie M. Borror is a Professor in the Division of Mathematical and Natural Sciences in the New College at Arizona State University West. She earned her Ph.D. in Industrial Engineering from Arizona State University in 1998. Her research interests include experimental design, response surface methods, and statistical process control. She has co-authored two books and over 50 journal articles in these areas.

Dr. Borror has taught numerous short courses on response surface methodology, robust design, statistical process control, experimental design, basic statistics, green belt training, and using statistical packages such as Minitab.

Dr. Borror is a member of the American Statistical Association, the Royal Statistical Society, the American Society for Engineering Education, and a Senior Member of the American Society for Quality and the Institute of Industrial Engineers.

Required Textbooks and Software

• Lean Six Sigma: Combining Six Sigma Quality with Lean Production Speed by Michael L. George, 2002, McGraw-Hill (ISBN: 0071385215)
• Lean Thinking: Banish Waste and Create Wealth in Your Corporation by James P. Womack and Daniel T. Jones, Revised and Updated, 2003, Simon & Schuster, Inc. (ISBN: 0743249275)
• Minitab Version 15 or 16 (student version is acceptable, software available to registered students during the timeframe of the course)