Special Event at the Applied Ergonomics Conference

Six Sigma Green Belt for Process Improvement
March 27 - 30
One full day Monday, Half-days Tuesday - Thursday 

The Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) methodology can be thought of as a roadmap for problem solving and product/process improvement.

The Six Sigma Methodology focuses on removing inconsistency from the process or service in an effort to reduce defects or in the case of ergonomics, injury.

Because people are involved, there will always be inconsistency in process or service, and therefore it is increasingly important to analyze the ergonomic risk factors involved.

This seminar, the introductory course in Six Sigma, will give you a thorough understanding of Six Sigma and its focus on eliminating defects through fundamental process knowledge. The course has been designed to cover all of the recognized Six Sigma green belt topics efficiently. The class includes those concepts and tools that provide immediate value when applied at all levels of an organization's operations. IIE instructors have had years of experience applying these to real processes ranging from manufacturing to healthcare to financial services to government. Topics covered in addition to DMAIIC and Six Sigma philosophy include basic statistics, statistical process control, process capability, financial implications and root cause analysis. This seminar is offered both in the classroom and online.

It is the first true introductory course and is intended for individuals at all levels within the organization. The IIE Green Belt course is shorter than many other Green Belt courses because we include only the tools and information necessary for immediate application. Instead of padding our hands-on courses with black belt topics that the beginner practitioner does not need, we keep the black belt topics in the advanced courses and allow the beginner practitioner to learn the basics quickly to improve operations.

Overview: Learn how to integrate principles of business, statistics and engineering to achieve tangible results. Master the use of Six Sigma to quantify the critical quality issues in your company. Once the issues have been quantified, statistics can be applied to provide probabilities of success and failure. Six Sigma methods increase productivity and enhance quality. As a Six Sigma green belt, you will be equipped to support and champion Six Sigma implementation in your organization. Participants will take the green belt exam online. The exam is included in the course fee. Participants who pass the exam receive IIE's Six Sigma Green Belt Certificate.

Prior seminar participants have reported significant savings from implementing their projects.

  • A financial services organization saw $128,000 in cost savings per quarter when they reduced transaction processing rework
  • A state agency reduced project cost over-runs by 28 percent
  • A transportation company saved more than $875,000 per year in turnover costs by improving the employee communications process
  • Reduced errors in a painting operation led to increased first pass acceptance and more than $197,000 in annual savings
  • A Web developer increased annual profits by 10 percent by cutting cycle time
  • A wave solder operation saw defects reduced by half and costs reduced by $60,000 per year

Topic Highlights: 

  • Basic statistics
  • Case studies
  • Cost analysis
  • Financial implications
  • Process capability
  • Root cause analysis
  • Six Sigma green belt exam
  • Six Sigma process and objective
  • Statistical process control

What You Will Learn: 

  • Design and develop Six Sigma projects
  • Determine process capability
  • Employ the DMAIC process
  • Perform basic statistical analysis on process measurements
  • Prepare root cause analysis
  • Support and champion Six Sigma implementation in your organization
  • Understand the Six Sigma philosophy

Course Content 

  • Six Sigma Philosophy
  • Organization
  • Structure
  • Approach
  • Six Sigma Projects
    • Variation
    • Histograms
    • Statistical Process Control 
  • Variables
  • Attributes
    • Process Capability 
  • DPMO
  • Sigma Levels
  • Indices
    • Root Cause Analysis 
  • Break Even
  • Flow Charts
  • Pareto Analysis
  • Check Sheets
  • Ishikawa Diagrams
  • Scatter Diagrams
  • Six Sigma and Organizational Goals Including:
    • Value Of Six Sigma
    • Organizational Factors Influencing Six Sigma 
  • Process Analysis – SIPOC
  • Case Studies