Department of Manufacturing Systems Engineering and Management
MSE 618 – Six Sigma Quality Engineering
Fall 2008
Class Number 19315 Room OV001
Instructor / Jay HamadeDepartment of Manufacturing Systems Engineering and Management
Faculty Office: JD3310
Office Hours: Mondays 6-7 PM or by appointment
Faculty E-mail:
MSEM Department Office: JD4510; (818) 677-2167
MSEM Department E-mail:
Textbook / 1. Gitlow, Howard S. & Levine, David M. (2005). Six Sigma for Green Belts and Champions. New Jersey: 2005 Pearson Education, Inc. ISBN 0-13-117262-X
2. Eckes, George (2001). The Six Sigma Revolution. New York: John Wiley and Sons, Inc.
Course Packet / Lecture notes for some sessions will be available from the instructor.
Course Description / Prerequisite MSE 601 or Consent of Instructor.
Six Sigma is a process that enables companies to increase profits dramatically by streamlining operations, improving quality, and eliminating defects or mistakes in everything a company does, from raw materials to finish goods. This class will discuss the evolution of continuous improvement methodologies: TQM, SPC, and Six Sigma. Comparison of product-related and process-related Six Sigma methodologies. The integration of operating philosophies, applied statistics, and project management to produce effective and efficient business process through Six Sigma deployment. The five phases of the Six Sigma methodology (Define, Measure, Improve, and Control) and how to manage improvement projects using Six Sigma tools. The application of Six Sigma tools using statistical and business software, Minitab, and MS Project. Advance topics in Six Sigma like Design Of Experiment (DOE) and Lean Six Sigma (LSS).
Course Learning Objectives / · Understand and describe the History of Continuous Improvement methodology
· State the Goal and Role of Continuous Improvement in Industry
· Explain and apply the Six Sigma Quality Engineering Methodology
· Gain Applied Quality Engineering Project Management Experience
· Make effective Product and Process Decisions using Six Sigma Methodologies
· Demonstrate relevant computing technologies applications
Course Proposed Plan
Note: Tentative schedule: dates/assignments/topics covered may change as deemed necessary.
Week 1 Introductions to the instructor, class members and the course
08/25/08 Lecture: Gitlow & Levine Part I- Six Sigma Basics
Week 2 Labor Day Holiday; Campus Closed
09/01/08
Week 3 Continuous Improvements in the Aerospace Industry
09/08/08 Reading Assignment: Gitlow & Levine Part II – Six-Sigma Model:
- Macro Model of Six Sigma Management (pp. 45-59)
Introduction to the Define Phase of the DMAIC Model
Week 4 Reading Assignment: Gitlow & Levine Part II – Six-Sigma Model:
09/15/08 - Define Phase of the DMAIC Model (pp. 62-98)
Comprehensive Six Sigma Project: Teams and Projects will be selected
Week 5 Reading Assignment: Gitlow & Levine Part II- Six-Sigma Model:
09/22/08 - Measure Phase of the DMAIC Model (pp. 104-142)
Comprehensive Project Team Presentation – Define phase
Week 6 Gitlow & Levine Part II- Measure Phase of the DMAIC Model
09/29/08 Introduction to Minitab Statistical Software Tool
Week 7 Homework Assignment #1 is due
10/06/08 Comprehensive Project Team Presentation- Measure phase
Class exercises- Data mining using Minitab & Excel
Week 8 Reading Assignment: Gitlow & Levine Part II- Six-Sigma Model:
10/13/08 - Analyze Phase of the DMAIC Model (pp. 145-189)
Minitab lecture and class exercises
Week 9 Homework Assignment # 2 is due
10/20/08 Gitlow & Levine Part II- Analyze Phase of the DMAIC Model
Minitab lecture and class exercises
Week 10 Comprehensive Project Team Presentation- Analyze Phase
10/27/08 Team Presentation- The Six Sigma Revolution book review
Week 11 Homework Assignment #3 is due
11/03/08 Introduction to Lean Manufacturing
Minitab lecture and class exercises
Week 12 Reading Assignment: Gitlow & Levine Part II- Six-Sigma Model:
11/10/08 - Improve Phase of the DMAIC Model (pp. 194-214)
Minitab lecture and class exercises
Week 13 Homework Assignment #4 is due
11/17/08 Gitlow & Levine Part II- Improve Phase of the DMAIC
Week 14 Comprehensive Project Team Presentation- Improve Phase
11/24/08 Reading Assignment: Gitlow & Levine Part II- Six-Sigma Model:
- Control Phase of the DMAIC Model (pp. 217-225)
Minitab lecture and class exercises
Week 15 Homework Assignment #5 is due
12/1/08 Gitlow & Levine Part II- Control Phase of the DMAIC Model
Week 16 Comprehensive Team Project Final Presentation- DMAIC
12/08/08 Review for final exam
Week 17 Comprehensive Final Exam- DMAIC
12/15/08
MSE618 (Six Sigma Quality Engineering) - Page 2 of 5
PROJECT AND HOMEWORK ASSIGNMENT DESCRIPTIONS
Comprehensive Project: Six Sigma (DMAIC)
The comprehensive Six Sigma Project is a team-based project that spans the entire semester. The project evaluation will be based on five gate reviews for each Six Sigma phase. The gate review will consist of a 15-minute presentation by the team (5%). Each member of the group will also receive a score of a (5%) by other team members for attendance, participation, and effort. It is expected that the role of project manager be rotated among team members. A final report with lessons learned and the summary of all gate reviews is also required for (5%). The project evaluation is comprehensive. In other words, every gate review is required.
Homework Assignments
1. There will be 5 homework assignments.
2. Class members are responsible for material reading assignments and homework assignment.
3. Tardy submissions are unacceptable unless arranged in advanced.
4. Some homework assignments can be worked in a group of 4 to 5 students/group; one set (the original) should be turned in per group; all students need to have a copy of the homework with them in class to be able to follow the solution
5. Homework assignments will be due at the beginning of the session (see assignments schedule above).
Book Review- The Six Sigma Revolution
Teams consist of 4 to 5 students/team will conduct a book review and present a summary of the Six Sigma Revolution to the class.
Note: All team members are encouraged to participate in this class presentation.
MSE618 (Six Sigma Quality Engineering) - Page 4 of 5
STANDARD OPERATING PROCEDURES
1. Class members are encouraged to maintain personal and professional standards consistent with The Fundamental Principles of the Code of Ethics of the Accreditation Board for Engineering and Technology.
2. Withdrawing from (dropping) this course should be accomplished during the first two weeks of instruction. Please note that failure to officially drop any course results in a grade of U, which is the equivalent of an F for your transcript and grade point average.
3. It is a University requirement that all undergraduate and graduate students must pass the Writing Proficiency Examination (WPE) as part of earning their degree. Graduate students must pass the WPE before completing more than 12 units in their graduate program. Students who earned an undergraduate degree at CSUN in Spring 1982 or thereafter have already met the requirement. Delaying the completion of the WPE requirement can delay your graduation. For additional information, see FAQs at www.csun.edu/~msem, or contact your academic advisor.
4. It is a University requirement that all graduate students whose overall undergraduate degree grade point average was less than 3.0, and who have not taken the General Aptitude Test of the Graduate Record Examination (GRE), must take the test before completing more than 12 units in their graduate program. A delay in meeting the GRE requirement will delay your classification and can delay your graduation. Information on the test is available at www.gre.org or at FAQs at www.csun.edu/~msem, or by contacting your academic advisor.
5. The major of each student in this class will be verified using the University course roster. Students whose majors are not correct must submit a change of major within the first three weeks of the semester. Graduate students should submit a Change of Objective for Graduate Students to the MSEM Department Office. The form can be obtained from FAQs at www.csun.edu/~msem, or by contacting your academic advisor.
6. The classification status of each graduate student in this class will be verified using the University course roster. Conditionally classified graduate students who are eligible for classification must submit a Request for Classification during the first three weeks of the semester. Eligible students are in the correct major and in GRAD status, have met their WPE and GRE requirements, and have a GPA of 3.0 or better. . For additional information, see FAQs at www.csun.edu/~msem, or contact your academic advisor.
MSE618 (Six Sigma Quality Engineering) - Page 4 of 5
7. Class members are to be considerate and respectful of their colleagues, particularly in regard to the project assignment, team effort and presentations.
8. Class members are responsible for material in reading assignments, CD companion, class presentations and group discussions.
9. Class members are expected to prepare and participate constructively in group discussions and team meetings.
10. All graduate students majoring in MSEM Department programs (i.e. Automation Engineering, Engineering Management, Materials Engineering) are encouraged to add their e-mail addresses to the Department listing. This listing is used for special notifications (e.g. course scheduling changes, academic advisement notices, social events, and emergencies). The list may be accessed at www.csun.edu/~msem/faqs.htm or by e-mailing a request to to be added to the list.
COURSE EVALUATION STRUCTURE
MSE618 (Six Sigma Quality Engineering) - Page 4 of 5
25%5%
10% / Comprehensive Project:
· Gate review-DMAIC
· Project Participation
· Final Report
10% / Book Review- Presentation
30% / Exams:
· Final
4%
4%
4%
4%
4% / Homework Assignments:
· Homework Assignment # 1
· Homework Assignment # 2
· Homework Assignment # 3
· Homework Assignment # 4
· Homework Assignment # 5
Letter-Grade Scale
A ≥ 90 / 88 ≤ A- < 9085 ≤ B+ < 88 / 80 ≤ B < 85 / 78 ≤ B- < 80
75 ≤ C+ < 78 / 70 ≤ C < 75 / 68 ≤ C- < 70
60 ≤ D < 68
F < 60
Note: Plus/Minus Grading WILL BE USED for this course
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