Lean Sigma Six Principles Overview

When:  Sep 17, 2015 from 2:00 PM to 5:00 PM (CT)
Associated with  Dakota Chapter

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What is Six Sigma?​
Six Sigma is a comprehensive and flexible system for achieving, sustaining and maximizing business success. Period. What makes Six Sigma different? Six Sigma is uniquely driven by a close understanding of customer needs, disciplined use of facts, data, and statistical analysis, and diligent attention to managing, improving, and reinventing business processes (from the book The Six Sigma Way by Pande, Neuman, and Cavanagh).

What is Lean?

Lean (also referred to as Lean Methods or Lean Speed) is a set of tools developed to reduce the waste associated with the flow of materials and information in a process from beginning to end. The goal of Lean is to identify and eliminate non‐essential and non‐value added steps in the business process in order to streamline production, improve quality and gain customer loyalty.


Lean Six Sigma
A combined management approach, LSS amplifies the strengths and minimizes the weaknesses of both approaches when used alone. Increasingly popular, Lean Six Sigma first emphasizes the use of Lean methodologies and tools to identify and remove waste and increase process velocity, then follows that with the use of Six Sigma methodologies and tools to identify and reduce or remove process variation.


Karen Naland Biography  
Karen Naland, Director of Quality and Development at Wanzek Construction, is a Six Sigma Master Black Belt and PMI Certified Project Management Professional. Prior to her work at Wanzek, she managed operational quality within NextEra Energy's wind fleet for seven years. 

Karen earned her BAS in Energy Management from Bismarck State College and a BS in Industrial Technology from the University of Wisconsin-Stout. She is an ASQ certified Quality Engineer, Six Sigma Black Belt, Quality Auditor and Quality Manager.  She also specializes in six sigma consulting, reliability engineering methods, kaizen facilitation, lean tools, statistical data analysis and predictive/preventive modeling, training and facilitation for quality improvements.


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