Basic Quality Tools for Process Improvement

Course Summary

This course is designed for supervisors and employees involved in process improvements and floor-level problem-solving efforts, as well as those interested in establishing a foundation for the future application of more advanced statistical methods.

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Event Details

8 hours
Combination lecture and classroom exercises
Available at QSG’s training facilities and on-site at your organization

Description

Basic Quality Tools for Process Improvement (sometimes included in the 7 Quality Tools) introduces participants to statistical methods that can be used by people with little formal training in statistics. Although called basic, these methods are nonetheless very powerful. Kaoru Ishikawa, awarded the Deming Prize in Japan for his many contributions to the field of quality, noted that these methods can be used to solve the vast majority of quality-related issues.

Ishikawa was influenced by a series of lectures presented by the late Dr. W. Edwards Deming in Japan in the early 1950s. In the wake of Deming’s teaching, companies began training their workforces in statistical quality control. Unfortunately, the complexity of the subject matter was intimidating to many workers; so companies scaled back the training to focus on simpler – or more basic – techniques that are sufficient for most quality and process problems.

Who Should Attend

This course was designed for supervisors and employees involved in process improvements and floor-level problem-solving efforts, as well as those interested in establishing a foundation for the future application of more advanced statistical methods. This workshop is most beneficial when a team from an organization attends together.

Learning Objectives

In this fast-paced and highly interactive one-day course, students will learn how to use the Basic Quality Tools to achieve dramatic improvements in quality, productivity, and processes throughout an organization. Students will also develop a solid foundation for learning and applying more advanced statistical methods and concepts in the future.

Course Outline

Adopting a “Systems Perspective”
Product Quality versus Process Quality
New definitions for Quality and Quality Improvement
Basic (Yet Powerful) Statistical Methods

  • Process Maps
  • Brainstorming
  • Cause and Effect Diagrams
  • Data collection guidelines
  • Pareto Diagrams
  • Scatter Diagrams
  • Run Charts
  • Histograms
  • Introduction to Control Charts

Basic Procedure for Improving a System
Introduction to DMAIC
Define, Measure, Analyze, Improve, and Control improvement cycle

Prerequisites

None

Instructors

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