Dokuz Eylül University Information Package / Courses Catalog

Description of Individual Course Units

Course Unit Code	Course Unit Title	Type Of Course	D	U	L	ECTS
END 4822	QUALITY CONTROL	COMPULSORY	3	0	0	4

Offered By

Industrial Engineering

Level of Course Unit

First Cycle Programmes (Bachelor's Degree)

Course Coordinator

ASSISTANT PROFESSOR KEMAL SUBULAN

Offered to

Metallurgical and Materials Engineering

Course Objective

This course will provide the student with the underlying principles and techniques of quality management, quality circle of manufacturing close-loop, Total quality management, Quality improvement techniques, Statistical process control (SPC), 6-Sigma approach, Process capability Analysis (PCA), Design of experiment and its application with emphasis on their application in the production.

Learning Outcomes of the Course Unit

1	to give introduction to Quality Control and Quality Assurance and Quality Management and Statisticak Quality Control and TQM
2	to give introduction to Statistical Process Control
3	to give introduction to Using, and Application, and Interpretaion of Sample Size
4	to give introduction to Using, and Application, and Interpretaion of Control Charts
5	to give introduction to Process Improvement Process Capability Analysis
6	to give introduction to Design of Experiments

Mode of Delivery

Face -to- Face

Prerequisites and Co-requisites

None

Recomended Optional Programme Components

None

Course Contents

Week	Subject	Description
1	A Brief History of Quality
2	Quality and Quality Improvement
3	The Total Quality Management
4	Describing Variation, Important Continuous Distributions
5	Cost of Quality
6	Statistical Process Control - Sample Size and Sampling frequency
7	Statistical Process Control for Variables
8	Statistical Process Control for Variables
9	Statistical Process Control for Attributes
10	Mid-term examination
11	Process Capability Analysis
12	Process Capability Analysis
13	Improvement With Designed Experiments
14	Improvement With Designed Experiments and Six Sigma

Recomended or Required Reading

Textbook(s): - Montgomery, Douglas C. Introduction to Statistical Quality Control. John Wiley &
Sons, Inc. New Yoruk, USA 1996.

Supplementary Book(s):
- Timischl, Wolfgang. Qualitaetssicherung. Hanser Verlag. München Wien 2002
- R. E. Devor, T. Chang, J. W. Sutherland, Statistical Quality Design and Control , Pearson
Prentice Hall, Second Edition, (2007)
- E. L. Grant, R. S. Leavenworth, Statistical Quality Control , McGraw-Hill, Seventh Edition
(1999)

References:
Materials:

Planned Learning Activities and Teaching Methods

The course is taught in a lecture, class presentation and discussion format. All class members are expected to attend and both the lecture and take part in the discussion sessions. Besides the taught lecture, group presentations are to be prepared by the groups assigned for that week and presented to open a discussion session.

Assessment Methods

SORTING NUMBER	SHORT CODE	LONG CODE	FORMULA
1	MTE1	MIDTERM EXAM 1
2	MTE2	MIDTERM EXAM 2
3	FIN	FINAL EXAM
4	FCG	FINAL COURSE GRADE	MTE1 * 0.25 + MTE2 * 0.25 + FIN * 0.50
5	RST	RESIT
6	FCGR	FINAL COURSE GRADE (RESIT)	MTE1 * 0.25 + MTE2 * 0.25 + RST * 0.50

*** Resit Exam is Not Administered in Institutions Where Resit is not Applicable.

Further Notes About Assessment Methods

None

Assessment Criteria

There will be minimum 2 projects, averaged out grades for which will be 15 % of the overall success of the students. mid-term examinations will be averaged and affect the grade by 35 %. Final exam will be 50 % of the resulting grade.

Language of Instruction

Turkish

Course Policies and Rules

To be announced.

Contact Details for the Lecturer(s)

mehmet.cakmakci@deu.edu.tr

Tel. Nr.: +90 232 301 76 13
Fax Nr.: +90 232 301 76 08

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	1	14	14
Preparation for Mid-term Exam	1	7	7
Preparation for Final Exam	1	10	10
Preparing Individual Assignments	2	13	26
Final	1	2	2
Mid-term	1	2	2
TOTAL WORKLOAD (hours)			100

Contribution of Learning Outcomes to Programme Outcomes

PO/LO	PO.1	PO.2	PO.3	PO.4	PO.5	PO.6	PO.7	PO.8	PO.9	PO.10	PO.11	PO.12
LO.1	5	4	4	4	5	4	4	4	4	3	4	4
LO.2	5	4	4	4	5	3	3	4	4	3	4	4
LO.3	5	4	4	4	5	4	4	4	4	3	4	4
LO.4	5	4	4	4	5	4	4	4	4	3	4	4
LO.5	5	4	4	4	5	4	4	4	4	3	4	4
LO.6	5	4	4	4	5	4	4	4	4	3	4	4

COURSE UNIT TITLE

DEGREE PROGRAMMES

Description of Individual Course Units

Offered By

Level of Course Unit

Course Coordinator

Offered to

Course Objective

Learning Outcomes of the Course Unit

Mode of Delivery

Prerequisites and Co-requisites

Recomended Optional Programme Components

Course Contents

Recomended or Required Reading

Planned Learning Activities and Teaching Methods

Assessment Methods

Further Notes About Assessment Methods

Assessment Criteria

Language of Instruction

Course Policies and Rules

Contact Details for the Lecturer(s)

Office Hours

Work Placement(s)

Workload Calculation

Contribution of Learning Outcomes to Programme Outcomes

CONTACT INFORMATION