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Fundamentals of a Six Sigma Quality System

Duration: 1 Day 8:00 a.m. - 5:00 p.m.

Continuing Education Hours: 8

Workshop Description:

This course provides an overview of a Six Sigma and Lean based quality/quality improvement system by presenting the components this very popular approach to providing a quality process, product or service by the organization. The course starts by covering the basic tenants of a Six Sigma/Lean system and the relationship with quality and quality improvement. The popular DMAIC (Define, Measure, Analyze, Improve, and Control) approach is presented and followed in this course. The course goes from the beginning of determining organizational goals in the defining phase to gathering, describing, summarizing, and analyzing data in the measurement phase (to set the baseline for the organization) to designing the improve and control measures, to finally implementing and validating the solution/modification measures. Various class exercises provide participants an opportunity to explore the concepts covered in the class.

Who Should Attend:
  • Anyone who creates, plans, implements or manages quality or quality improvement activities.
  • Anyone who is involved in auditing, inspecting or testing for the organization.
  • Anyone who is interested in understanding Six Sigma and Lean principles.
Course/Workshop topics:
  • Overview of Six Sigma and Lean methods
  • The basics of quality and quality improvement.
  • The DMAIC Process to improve solve problems and increase productivity and quality
  • DMAIC - Define based on organizational goals
  • DMAIC - Measure to provide data for analysis of the situation
  • DMIAC - Analyze data using statistical methods
  • DMAIC - Improve the processes involved
  • DMAIC - Control the new processes to lock in improvements
Benefits of Attendance participants will:
  • Clearly identify the problem statement through customer analysis.
  • Define the objective of the Six Sigma effort.
  • Plan the project in terms of time, budget and resource requirements.
  • Define team structure for the project and establish roles and responsibilities.
  • Gather information on the current process (creating a detailed process map, gathering baseline data and summarizing and analyzing the data).
  • Consider the various probability distributions useful in statistical analysis.
  • Perform measurement system analysis.
  • Understand how to calculate, analyze, and interpret a measurement system capability using repeatability and reproducibility, and the difference between precision and accuracy.
  • Explore design of experiments (DOE) and statistical process control (SPC).
  • Understand the steps of implement and validate the solution, and produce a control plan to document and hold the gains, and assist in implementing controls and a monitoring system.