Route Six Sigma: Services - Executive Overview

 

Executive Overview

The Executive Overview is a one-day overview, or two-day workshop, to provide business leaders and corporate staff members an opportunity to understand Six Sigma and touch some of the Six Sigma methodologies.  Through touch and understanding, the business leader can make more informed decisions about how to implement Six Sigma in the organization. Registrants will learn what Six Sigma is and understand the basic Define, Measure Analyze, Improve and Control (DMAIC) Six Sigma process.  During the Overview course, they will experience several of the concepts that make Six Sigma a powerful part of the corporate business strategy. A key outcome of the two day workshop will be an understanding of the business-vital focuses, and a selection of initial deployment projects that meet those needs.

Who Should Attend:

  • Executive staff and executive extended staff of organizations seeking to use Six Sigma as part of the business strategic plan
  • Operating staff in organizations currently using Six Sigma who are not currently directly involved with Six Sigma projects

Course Overview

  • What is Six Sigma
    • The Six Sigma philosophy of process improvement
    • The Sigma measurement
  • Why do Six Sigma
    • How does Six Sigma fit in a strategy to achieve business excellence
  • Benefits of Six Sigma
  • How is Six Sigma different from prior quality strategies
  • Common Six Sigma tools
  • How is the Sigma measurement used to report capability for various types of data
  • Six Sigma roles
  • Common Six Sigma deployment issues
  • Confirming the quality of measurements for use in a Six Sigma project
  • Process variation and how variation affects process performance
  • Y=f(x); “Output is a function of inputs”
  • Rolled Throughput Yield
  • Outline the Six Sigma Process
    • Define
    • Measure
    • Analyze
    • Improve
    • Control
  • Examples of the tools associated with the phases of Six Sigma process
  • Goals of the Six Sigma process steps
  • Types of data used and how data type affects problem analysis

 

 

 


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