ENM5212 Quality ManagementBahçeşehir UniversityDegree Programs INDUSTRIAL ENGINEERING (ENGLISH, THESIS)General Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
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 Fall 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