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Six Sigma
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Initially developed by Motorola in the early 1980's, Six Sigma is a disciplined approach that uses common statistical tools to improve process quality and bottom line results. In recent years, success with Six Sigma has been so dramatic that it is spreading like wildfire across corporate America and prompting popular periodicals such as Business Week, USA Today, and Computer World to carry full-length articles on the subject.
Six Sigma denotes a specific measure of how well a process is performing. A Six Sigma process produces extremely few defects - 3.4 per million opportunities (99.9997% defect-free). Six Sigma is a target measurement for near perfect execution of a process, using reduction of variations and robust design as methods for improvements. Under these circumstances, Six Sigma initiatives assume great significance since they show how to work "smarter", and not "harder".
Six Sigma attains the goals of defect reduction, yield improvement, improved customer satisfaction, lower costs, and thus higher net income, through the effective use of statistical and problem solving tools to drive business decisions based on factual data and not "gut feel". Six Sigma fixes the root causes of problems and optimizes solutions. It puts controls in place so that problems, once fixed, stay fixed.
The tools and concepts of Six Sigma are not new. However, the methods under which they are expected to be used are new, with a focus on applying tools and concepts to specific projects and obtaining bottom line results in relatively short time frames.
Steudel and Mann, LLC, can provide consulting services in the following areas:
- Process Mapping and Opportunity Identification
- The Cost of (Poor) Quality
- Cost Justification Techniques
- Visually Displaying Data
- Basic Statistics (mean, median, mode, standard deviation)
- Data Distributions (discrete, continuous, and normal)
- Statistical Process Control
- Process Capability Studies
- The 5 Why's
- Cause and Effect (CE) Diagrams
- Affinity Diagrams
- Interrelationship Digraphs
- Potential Failure Mode and Effects Analysis (FMEA)
- Confidence Intervals
- Hypothesis Testing
- Analysis of Variance (ANOVA)
- Design of Experiments (DOE)
- Measurement Systems Analysis (MSA)
Professor Harry Steudel has provided team leader training and coaching for Six Sigma projects at such companies as John Deere, GE Medical, Trostel,
Mercury Marine and others.
Also refer to our Six Sigma Seminar for information on our practical, innovative approach to Six Sigma training at your organization.
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