Department of Industrial Engineering

IE 327 | Course Introduction and Application Information

Course Name

Special Topics in Production Management

Code	Semester	Theory (hour/week)	Application/Lab (hour/week)	Local Credits	ECTS
IE 327	SPRING	3	0	3	6

Prerequisites	MATH 236 To succeed (To get a grade of at least DD)
Course Language	English
Course Type	ELECTIVE_COURSE
Course Level	First Cycle
Mode of Delivery	Face to face
Teaching Methods and Techniques of the Course	Lecture/Presentation/Application Group Work
National Occupational Classification Code	-
Course Coordinator	Prof. Dr. Ahmet Sermet Anagün
Course Lecturer(s)	Prof. Dr. Ahmet Sermet Anagün
Assistant(s)	Araş. Gör. Gamze Erdem

Course Objectives

The aim of the course is to introduce different process improvement approaches, especially the Lean Six Sigma project approach. Process diagramming, statistical analysis techniques, hypothesis tests and some graphical analyzes are covered by this course.

Learning Outcomes

The students who succeeded in this course;

Name	Description	PC Sub	* Contribution Level
Name	Description	PC Sub	1	2	3	4	5
LO1	Understand basic project management approach of Six Sigma	1.5		X
LO2	Understand how the five basic steps of Six Sigma can be used for both in the project management and process improvement	1.6		X
LO3	Evaluate how manufacturing process can be improved by using some statistical tools	4			X
LO4	Apply hypothesis tests are to solve real production problems	4			X
LO5	Distinguish the suitability of the techniques used in the Six Sigma approach	4		X

Course Description

The history of the Six Sigma approach and its diffusion in the world, examples of applications in the world and in Turkey, basic steps of the Six Sigma project management approach, statistical and managerial tools used at each step and best practices for use of these tools constitute the course content.

Related Sustainable Development Goals

Course Category	Core Courses
	Major Area Courses	X
	Supportive Courses
	Media and Managment Skills Courses
	Transferable Skill Courses

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week	Subjects	Required Materials	Learning Outcome
1	History of Six Sigma	Lecture Notes	LO1
2	Six Sigma Project Management Approach	Lecture Notes	LO1
3	DMAIC	Lecture Notes	LO2
4	Project Chart and Definiton Tools	Lecture Notes	LO2
5	SIPOC, VOC and VOB	Lecture Notes	LO3
6	Graphical Analysis	Lecture Notes	LO3
7	Hypothesis Testing	Lecture Notes	LO4
8	Midterm Exam		-
9	Comparison of Mean Values	Lecture Notes	LO4
10	Comparison of Proportions	Lecture Notes	LO4
11	Regression and Correlation Analysis	Lecture Notes	LO4
12	Measurement System Analyzsis	Lecture Notes	LO5
13	Statistical Process Control	Lecture Notes	LO5
14	Introduction to Experimental Design	Lecture Notes	LO5
15	Review for Semester		-
16	Final Exam		-

Course Notes/Textbooks	G. Robin Henderson (2011) Six Sigma Quality Improvement with Minitab Wiley. Rehman M. Khan (2013) Problem Solving and Data Analysis Using Minitab Wiley. Pande P. S. Neuman R. P. Cavanagh R. R. (2000) The Six Sigma Way. New York: McGraw-Hill ML George Rowlands D Price M and Maxey J. (2005). The Lean Six Sigma Pocket Toolbook. McGraw Hill Co.
Suggested Readings/Materials	PowerPoint slayts reading materials articles and lecture notes.

EVALUATION SYSTEM

Semester Activities	Number	Weighting	LO1	LO2	LO3	LO4	LO5
Quizzes / Studio Critiques	2	10			X	X
Project	1	20	X	X	X	X	X
Midterm	1	25	X	X	X
Final Exam	1	30		X	X	X	X
Laboratory / Application	1	15		X	X	X
Total	6	100

ECTS / WORKLOAD TABLE

Semester Activities	Number	Duration (Hours)	Workload
Participation	-	-	-
Theoretical Course Hours	16	3	48
Laboratory / Application Hours	-	-	-
Study Hours Out of Class	14	4	56
Field Work	-	-	-
Quizzes / Studio Critiques	2	5	10
Portfolio	-	-	-
Homework / Assignments	-	-	-
Presentation / Jury	-	-	-
Project	1	25	25
Seminar / Workshop	-	-	-
Oral Exams	-	-	-
Midterms	1	16	16
Final Exam	1	25	25
		Total	180

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#	PC Sub	Program Competencies/Outcomes	* Contribution Level
#	PC Sub	Program Competencies/Outcomes	1	2	3	4	5
1	Engineering Knowledge: Knowledge of mathematics, science, basic engineering, computation, and related engineering discipline-specific topics; the ability to apply this knowledge to solve complex engineering problems.
	1	Mathematics
	2	Science
	3	Basic Engineering
	4	Computation
	5	Related engineering discipline-specific topics		LO1
	6	The ability to apply this knowledge to solve complex engineering problems		LO2
2	Problem Analysis: Ability to identify, formulate and analyze complex engineering problems using basic knowledge of science, mathematics and engineering, and considering the UN Sustainable Development Goals relevant to the problem being addressed.
3	Engineering Design: The ability to devise creative solutions to complex engineering problems; the ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions.
	1	Ability to design creative solutions to complex engineering problems
	2	Ability to design complex systems, processes, devices or products to meet current and future needs, considering realistic constraints and conditions
4	Use of Techniques and Tools: Ability to select and use appropriate techniques, resources, and modern engineering and computing tools, including estimation and modeling, for the analysis and solution of complex engineering problems, while recognizing their limitations.			LO5	LO3 LO4
5	Research and Investigation: Ability to use research methods to investigate complex engineering problems, including literature research, designing and conducting experiments, collecting data, and analyzing and interpreting results.
	1	Literature research for the study of complex engineering problems
	2	Designing experiments
	3	Ability to use research methods, including conducting experiments, collecting data. analyzing and interpreting results
6	Global Impact of Engineering Practices: Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals; awareness of the legal implications of engineering solutions.
	1	Knowledge of the impacts of engineering practices on society, health and safety, economy, sustainability, and the environment, within the context of the UN Sustainable Development Goals
	2	Awareness of the legal implications of engineering solutions
7	Ethical Behavior: Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility; awareness of being impartial, without discrimination, and being inclusive of diversity.
	1	Acting in accordance with the principles of the engineering profession, knowledge about ethical responsibility ethical responsibility
	2	Awareness of being impartial and inclusive of diversity, without discriminating on any subject
8	Individual and Teamwork: Ability to work effectively, individually and as a team member or leader on interdisciplinary and multidisciplinary teams (face-to-face, remote or hybrid).
	1	Ability to work individually and within the discipline
	2	Ability to work effectively as a team member or leader in multidisciplinary teams (face-to-face, remote or hybrid)
9	Verbal and Written Communication: Taking into account the various differences of the target audience (such as education, language, profession) on technical issues.
	1	Ability to communicate verbally
	2	Ability to communicate effectively in writing
10	Project Management: Knowledge of business practices such as project management and economic feasibility analysis; awareness of entrepreneurship and innovation.
	1	Knowledge of business practices such as project management and economic feasibility analysis
	2	Awareness of entrepreneurship and innovation
11	Lifelong Learning: Lifelong learning skills that include being able to learn independently and continuously, adapting to new and developing technologies, and thinking questioningly about technological changes.