COURSE UNIT TITLE

: SPECIAL METHODS IN QUALITY TECHNIQUES

Description of Individual Course Units

Course Unit Code Course Unit Title Type Of Course D U L ECTS
IST 3162 SPECIAL METHODS IN QUALITY TECHNIQUES ELECTIVE 3 0 0 5

Offered By

Statistics

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

PROFESSOR DOCTOR ALI RIZA FIRUZAN

Offered to

Statistics
Statistics(Evening)

Course Objective

This course is intended to give a general introduction to modern quality management methods. In the course, the techniques which are increasingly important in recent years will be examined and sample applications of these techniques will be discussed. The aim of the course is to help students to use these techniques and interpret the results.





Learning Outcomes of the Course Unit

1   Describing fundamental elements of special methods used in quality management
2   Comprehending the interrelationships of these methods
3   Expressing purpose of each method
4   Expressing gains of each method
5   Applying these methods

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week Subject Description
1 General Information on Special Quality Techniques
2 Experimental Design and Taguchi Method
3 Application Steps of Taguchi Method
4 Lean Manufacturing Principles
5 Lean Manufacturing Techniques
6 Failure Modes and Effects Analysis (FMEA)
7 FMEA application steps
8 Midterm Exam
9 Six Sigma and DMAIC methodology
10 Techiques used for Six Sigma
11 Quality Function Deployment (QFD)
12 Application Process of QFD
13 Re-engineering
14 Applications of Re-engineering

Recomended or Required Reading

Textbook(s):
El-Haik Basem, Roy David M., Service Design for Six Sigma, John Wiley & sons, Inc.2005.
Supplementary Book(s):
Pyzdek T., The Six Sigma Handbook, Third Edition, McGraw-Hill, 2003

Planned Learning Activities and Teaching Methods

Lecture, homework assignments, problem solving.

Assessment Methods

SORTING NUMBER SHORT CODE LONG CODE FORMULA
1 MTE MIDTERM EXAM
2 ASG ASSIGNMENT
3 FIN FINAL EXAM
4 FCG FINAL COURSE GRADE MTE * 0.30 + ASG * 0.30 + FIN * 0.40
5 RST RESIT
6 FCGR FINAL COURSE GRADE (RESIT) MTE * 0.30 + ASG * 0.30 + RST * 0.40


Further Notes About Assessment Methods

None

Assessment Criteria

Evaluation of exams and homeworks.

Language of Instruction

Turkish

Course Policies and Rules

Students will come to the class in time. Attending the 70% of the classes are mandatory.

Contact Details for the Lecturer(s)

DEU Fen Fakültesi Istatistik Bölümü
e-mail: s.alpaykut@deu.edu.tr
Tel: 0232 301 85 56
e-mail: aliriza.firuzan@deu.edu.tr
Tel: 0232 301 85 55
e-mail: senem.sahan@deu.edu.tr
Tel: 0232 301 86 03

Office Hours

To be announced.

Work Placement(s)

None

Workload Calculation

Activities Number Time (hours) Total Work Load (hours)
Lectures 13 3 39
Preparation before/after weekly lectures 12 1 12
Preparation for Mid-term Exam 0 0 0
Preparation for Final Exam 1 30 30
Preparing Group Assignments 5 6 30
Final 1 2 2
Midterm 0 0 0
TOTAL WORKLOAD (hours) 113

Contribution of Learning Outcomes to Programme Outcomes

PO/LOPO.1PO.2PO.3PO.4PO.5PO.6PO.7PO.8PO.9PO.10PO.11PO.12PO.13PO.14
LO.144555435555
LO.244555435555
LO.3555555
LO.4555555
LO.544555435555