Information Package

Master's of Quality Engineering with Thesis

KAL532

SIX - SIGMA METHODS AND APPLICATIONS

Course Code
KAL532
Semester
-
Theory+Practice
3 + 0
ECTS
10
Course TypeElective Course
Course LevelMaster's Degree With Thesis
Year of Study-
Semester-
ECTS10
Name of Lecturer(s)
Learning Outcomes

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 DeliveryFace to face
PrerequisitesNo
Recommended Optional Programme ComponentsNone
Course DescriptionSix 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
Recommended or Required Reading1. 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
Planned Learning Activities and Teaching Methods
  • Lecture
  • Questions/Answers
  • Problem Solving
  • Practice
Assessment Methods and Criteria
Quantity Percentage (%)
Mid-term 1 35
Assignment 3 15
Quiz 3 15
Total(%) 65
Contribution of In-term Studies to Overall Grade(%) 65
Contribution of Final Examination to Overall Grade(%) 35
Total(%) 100
ECTS Allocated Based on Student Workload
Activities Quantity Duration (Hour) Total Workload (Hour)
Midterm exam 1 2 2
Preparation for Quiz 3 4 12
Individual or group work 14 14 196
Preparation for Final exam 1 20 20
Course hours 14 3 42
Preparation for Midterm exam 1 20 20
Laboratory (including preparation)
Final exam 1 2 2
Homework 3 6 18
Total Work Load312
Total Work Load / 30 (h)10.4
ECTS Credit of the Course10
Language of InstructionTurkish
Work Placement(s)No
LO1 LO2
K1 X
K2 X
K3 X
K4
K5 X X
K6