Using Distributions for Process Improvement


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Course Number: V20B_23



The usual responsibilities of an engineer or manager include data collection, analysis, process troubleshooting and process improvement. Using established and logical methodology can improve problem-solving and troubleshooting skills while guiding process improvement strategies and efforts. Identifying and implementing process improvements enable us to become more effective engineers or managers and increases our value to an organization.

Process Improvement requires an organized approach, knowledgeable people, teamwork and the appropriate tools. There are a number of recognized approaches in use today. “Using Distributions for Process Improvement focuses on using simple techniques centered around the normal distribution to identify potential process improvement opportunities and/or assess process performance. This is really an ‘eye-opening’ approach to using data in business and industry.

“Using Distributions for Process Improvement” is intended to provide practical information that will enable you and your organization develop and implement an effective, logical and organized approach to process improvement based on data. It will lead to evidence-based decision making and help you to eliminate emotional or biased judgments for process improvement. “Using Distributions for Process Improvement” is a practical course that uses real world examples. It is intended to provide an understanding of using the simple statistical tools for process improvement by looking into several scenarios and using the methodology to lead to solutions. This is not a theoretical statistics course, or series of courses. It is intended to be practical and a such is not a comprehensive statistics course, either. Don’t be ‘scared off’ by the idea of statistical methods. This course is about simple common-sense tools to use for process improvement.

The instructor for “Using Distributions for Process Improvement”, Davis M. Woodruff, PE has over three decades of real-world experience with clients on 3 continents and in 35 states. He uses a practical approach based on ‘real world’ experiences.

The learning objectives are for participants to:

  1. Review/Understand the fundamentals of statistical methods for process improvement
  2. Learn to select the techniques or tools to answer the questions
  3. Use the Normal Distribution to assess process performance
  4. Use the Normal Distribution to evaluate specification changes
  5. Use Pre-Control Methods to understand and control a process
  6. Be able to use data to identify ways to utilize the information to improve processes


Course Length: 1 Hours, ( 0. 1CEUs or 1PDHs or 1CPCs )

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