INDUSTRIAL ENGINEERING (ENGLISH, THESIS)
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

Course Introduction and Application Information

Course Code	Course Name	Semester	Theoretical	Practical	Credit	ECTS
ENM5212	Quality Management	Spring	3	0	3	12

This catalog is for information purposes. Course status is determined by the relevant department at the beginning of semester.

Basic information

Language of instruction:	English
Type of course:	Departmental Elective
Course Level:
Mode of Delivery:	Face to face
Course Coordinator :	Assoc. Prof. AHMET BEŞKESE
Course Lecturer(s):	Dr. Öğr. Üyesi AYŞE KAVUŞTURUCU
Recommended Optional Program Components:	N.A.
Course Objectives:	The aim of the course is to provide the fundamentals of quality management including statistical quality control. The course covers causes of variation, statistical process control, control charts, quality control tools and techniques. The managerial and organizational aspects of quality, total quality management (TQM), quality awards, quality assurance systems, the IS0 certification process, six-sigma and the DMAIC process are also covered. Applications with statistical software packages are also utilized.

Learning Outcomes

The students who have succeeded in this course;
I. Discuss quality, quality improvement and different dimensions of quality.
II. Describe the quality management philosophies of Deming, Juran, Feigenbaum and Crosby.
III. Discuss TQM, six-sigma, ISO standards and quality awards.
IV. Explain the steps of DMAIC.
V. Recognize the chance and assignable causes of variability in a process
VI. Use the basic process improvement tools of statistical process control
VII. Evaluate confidence intervals for one sample and for comparing two samples
VIII. Construct different types of control charts for variables
IX. Analyze process capability using control charts
X. Construct different types of control charts for attributes

Course Content

The course covers acceptance sampling, types of sampling plans, causes of variation, statistical process control, control charts, quality control tools and techniques. The managerial and organizational aspects of quality, total quality management (TQM), quality awards, quality assurance systems, the IS0 certification process, six-sigma and the DMAIC process are also covered.

Weekly Detailed Course Contents

Week	Subject	Related Preparation
1)	Introduction to Quality: basic definitions and historical development of quality and quality improvement
2)	Relation between quality and productivity, quality costs, quality management philosophies
3)	Management Aspects of Quality: TQM, ISO, Six-sigma
4)	Management Aspects of Quality: DFSS, Lean, DMAIC process
5)	Tools and Techniques for Quality Control and Improvement
6)	Statistical Inference about Product and Process Quality
7)	Statistical Inference about Product and Process Quality
8)	Midterm
9)	Control Charts for Variables: Xbar-R, Xbar-S, I-MR control charts
10)	Control Charts for Variables: CUSUM, EWMA control charts
11)	Process Capability Analysis using Control Charts
12)	Control Charts for Attributes: p, np control charts
13)	Control Charts for Attributes: c, u control charts
14)	Project presentations

Sources

Course Notes / Textbooks:	Douglas C. Montgomery, Cheryl L. Jennings, Michele E. Pfund, 2011. Managing, Controlling, and Improving Quality, John Wiley & Sons, 1st Edition
References:	Douglas C. Montgomery, 2009. Statistical Quality Control: A Modern Introduction, John Wiley & Sons, 6th Edition

Evaluation System

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	2	% 10
Project	1	% 20
Midterms	1	% 30
Final	1	% 40
Total		% 100
PERCENTAGE OF SEMESTER WORK		% 40
PERCENTAGE OF FINAL WORK		% 60
Total		% 100

ECTS / Workload Table

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	5	70
Presentations / Seminar	1	25	25
Project	1	40	40
Homework Assignments	4	10	40
Midterms	1	35	35
Final	1	40	40
Total Workload			292

Contribution of Learning Outcomes to Programme Outcomes

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	Process view and analytic thinking
2)	managerial thinking with technical background
3)	To have theoretical knowledge on operations research.
4)	Awareness about the applications of operations research
5)	To have ability of selection and efficient use of modern techniques, equipments and information technologies for industrial engineering
6)	To be capable of designing and conducting experiments and collecting data, analyzing and interpreting results
7)	To have verbal and oral effective communication skills by using visual methods in Turkish and English
8)	To be aware of entrepreneurship, sustainability and innovation
9)	To lead disciplinary and multi-disciplinary teams, to develop solution approaches in complex situations, to work individually and to take responsibility.
10)	To have conscious of professional and ethical responsibility
11)	To have conscious of necessity to lifelong learning
12)	To be aware of economic and legal implications of engineering solutions
13)	Economic, social and environmental responsibility while solving management problems