SUPPLY CHAIN AND LOGISTICS MANAGEMENT (TURKISH, NON-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
ISM5212 Quality Management Fall 3 0 3 8
The course opens with the approval of the Department at the beginning of each semester

Basic information

Language of instruction: Tr
Type of course: Departmental Elective
Course Level:
Mode of Delivery: Face to face
Course Coordinator : Assoc. Prof. AHMET BEŞKESE
Course Lecturer(s): Assoc. Prof. AHMET BEŞKESE
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 Outputs

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: 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
Attendance % 0
Laboratory % 0
Application % 0
Field Work % 0
Special Course Internship (Work Placement) % 0
Quizzes % 0
Homework Assignments 4 % 10
Presentation % 0
Project 1 % 20
Seminar % 0
Midterms 1 % 30
Preliminary Jury % 0
Final 1 % 40
Paper Submission % 0
Jury % 0
Bütünleme % 0
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
Laboratory 0 0 0
Application 0 0 0
Special Course Internship (Work Placement) 0 0 0
Field Work 0 0 0
Study Hours Out of Class 14 2 28
Presentations / Seminar 1 10 10
Project 1 40 40
Homework Assignments 4 10 40
Quizzes 0 0 0
Preliminary Jury 0
Midterms 1 15 15
Paper Submission 0
Jury 0
Final 1 20 20
Total Workload 195

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) Based on Bachelor level(First Cycle) qualifications, to develop and deepen knowledge to the proficiency level in the field of Supply Chain and Logistics Management.
2) To define and implement knowledge with scientific methods by using vague, limited or incomplete data; to use combination of interdisciplinary knowledge.
3) To design and implement analytic, model and experiment based research in the field of Supply Chain and Logistics Management, to analyze and interpret complex situations faced related to the field.
4) To identify and formulate Supply Chain and Logistics Management problems, to develop methods for the solutions, to implement innovative ways in the solutions.
5) To work effectively disciplinary and multi-disciplinary teams, to lead this teams and to develop solution approaches in complex situations, to work individually and to take responsibility.
6) To evaluate, interpret and implement knowledge and skills acquired at proficiency level in Supply Chain and Logistics Management field with a critical approach.
7) To communicate current developments and studies, within the field or in other fields to both national and international groups, systematically and clearly using written and oral techniques.
8) To be able to use advanced information technology and communication technology with software knowledge to input and analyze data related with Supply Chain and Logistics Management.
9) To provide individuality and contribution to the studies of Supply Chain and Logistics Management field.
10) To audit the data gathering, interpretation, implementation and announcement stages in the Supply Chain and Logistics Management field by taking into consideration the cultural, scientific, and ethic values and to teach these values.
11) To have effective and efficient managerial skills