At the end of this course, the students; 1) will have knowledge on applications of mathematics, science and engineering knowledge 2) will have knowledge on systematic problem description and solution capabilities to improve a manufacturing/service sector
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
None
COURSE DEFINITION
Six Sigma Concept, History of Six Sigma, Critical Success Factors, Roles and Responsibilities, Define, Measure, Analyze, Improve, and Control (DMAIC) Cycle, Techniques Used in Six Sigma, Six Sigma Case Studies, Computer Applications.
COURSE CONTENTS
WEEK
TOPICS
1st Week
History, concepts and tools of six sigma
2nd Week
Measurement of process performance level
3rd Week
Selection of six sigma projects
4th Week
Roles and responsibilities in six sigma
5th Week
DMAIC cycle
6th Week
Lean six sigma and design for six sigma
7th Week
Problems in applications of six sigma
8th Week
Midterm I
9th Week
Poka Yoke + Mistake proofing video
10th Week
Literature review and presentations of six sigma applications
11th Week
Literature review and presentations of six sigma applications
12th Week
Six sigma videos
13th Week
Advanced techniques in six sigma: Regression
14th Week
Advanced techniques in six sigma: Response surface optimization
RECOMENDED OR REQUIRED READING
1. Breyfogle, F.W. Implementing Six Sigma-Smarter Solutions Using Statistical Methods, Wiley-Interscience, 1999. 2. Henderson, G. R., Six Sigma Quality Improvement with MINITAB, John Wiley & Sons, 2006. 3. Selected literature and case studies