SST-233 Introduction to Process Improvement

The basis of this course is Lean Six Sigma techniques. Students learn the history of Six Sigma, introduced to industry in the late 1980’s, as a methodology that focuses on minimizing process variation. The course also covers Lean, a process that focuses on eliminating waste and streamlining operations. Lean Six Sigma, a more recent technique combines the two processes. Students are prepared for the data driven decisions they will make in their careers in the Cyberphysical industry, as Lean Six Sigma provides a powerful tool to make improvements in any business.

Credits

3

Department

• Science & Technology

Course Rotation Schedule

• Spring: Hyflex

For more detailed course information view the Course Outline

SST 233: Introduction to Process Improvement

Department

Science and Technology

Course Description

The basis of this course is Lean Six Sigma techniques. Students learn the history of Six Sigma, introduced to industry in the late 1980’s, as a methodology that focuses on minimizing process variation. The course also covers Lean, a process that focuses on eliminating waste and streamlining operations. Lean Six Sigma, a more recent technique combines the two processes. Students are prepared for the data driven decisions they will make in their careers in the Cyberphysical industry, as Lean Six Sigma provides a powerful tool to make improvements in any business.

Credit Hours

3

Contact Hours

Lecture	3
Lab	0
Other	0

Grading Scheme

Letter

Course Learning Outcomes

1. Identify Lean Six Sigma principles and practices
2. Implement Lean Six Sigma principles in sample manufacturing operations.
3. Utilize DMAIC in analysis of operational processes

Topic Outline

1. 1. Explain the origins and history of Lean Six Sigma
2. 2. Define Lean and Six Sigma and explain how they relate to one another
3. 3. Quantify cost and defect reduction
4. 4. Understand how the Lean Six Sigma process applies to both manufacturing and service
5. 5. Understand the Voice of the Customer
6. 6. Define the basic concepts and tools of Define, Measure, Analyze, Improve, and Control (DMAIC)
7. 7. Demonstrate the ability to use the DMAIC tools
8. 8. Understand the Lean Six Sigma application process through case studies
9. 9. Use statistical tools and Minitab (mean, standard deviation, charts and graphs, population parameters vs. sample statistics, normal distribution, t distribution, confidence intervals, hypothesis testing, and ANOVA)
10. 10. Complete a case study project