COURSE SYLLABUS

STATISTICAL QUALITY CONTROL

1	Course Title:	STATISTICAL QUALITY CONTROL
2	Course Code:	END5523
3	Type of Course:	Optional
4	Level of Course:	Second Cycle
5	Year of Study:	2
6	Semester:	3
7	ECTS Credits Allocated:	7,5
8	Theoretical (hour/week):	3
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Doç.Dr. ALI YURDUN ORBAK
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	orbak@uludag.edu.tr, 0(224)2942086, Uludağ Üniversitesi Endüstri Mühendisliği Bölümü Oda Y315 Görükle, 16059, Bursa
18	Website:	http://endustri.uludag.edu.tr/~orbak/END5522.html
19	Objective of the Course:	Students will learn the formation of quality control systems in manufacturing or service sector using statistical knowledge, monitoring processes in these sectors to improve them, assessing capabilities of the processes and determining relevant tools to improve them. All these information and knowledge will be provided within the quality management philosophy.
20	Contribution of the Course to Professional Development

Learning Outcomes:

1	Students will be able to understand and develop control charts.;
2	Students will understand how to collect data for monitoring industrial and service processes.;
3	Students will understand the broad context of quality technologies.;
4	Students will understand a quality management theory.;
5	Students will understand process analysis.;
6	Students will understand quality improvement techniques.;
7	Students will understand the meaning of statistical control and random variability.;
8	Students will be able to analyze failures in processes and tehy will develop methods for improvement.;
9	Students will be able to design and apply experiments to solve real life problems.;

22	Course Content:

Week	Theoretical	Practical
1	What is quality, quality costs
2	Historical background of quality control
3	Total quality control, kaizen, quality standards
4	Statistical process control: Reasons of variability
5	SPC: Control charts for variables
6	SPC: Control charts for variables
7	SPC: Control charts for attributes
8	SPC: Control charts for attributes
9	Process capability analysis
10	Tolerance systems
11	Product and process design: Taguchi’s loss function
12	Design of experiments and Taguchi
13	Product and process design: FMEA, Triz and Axiomatic Design
14	Product and process design: FMEA, Triz and Axiomatic Design

23	Textbooks, References and/or Other Materials:	• Managing Quality, 5th Edition. Barrie G. Dale (University of Manchester), Ton van der Wiele (Erasmus University), Jos van Iwaarden (Erasmus University) ISBN: 978-1-4051-4279-3, Wiley, 2007. • Managing, Controlling, and Improving Quality, 1st Edition. Douglas C. Montgomery (Arizona State University ), Cheryl L. Jennings (Bank of America, USA), Michele E. Pfund (Arizona State University) ISBN 978-0-470-57185-9, Wiley 2010. • Axiomatic Quality: Integrating Axiomatic Design with Six-Sigma, Reliability, and Quality Engineering. Basem El-Haik , ISBN: 978-0-471-68273-8, Wiley 2005. • TRIZ for Engineers: Enabling Inventive Problem Solving. Karen Gadd , ISBN: 978-0-470-74188-7, Wiley 2011. • Mitra, Amitava. “Fundamentals of Quality Control and Improvement”, Second Edition, Prentice Hall, 1998. ISBN: 0-13-645086-5. • Montgomery, D. C. “Introduction to Statistical Quality Control”, Fifth Edition, John Wiley & Sons, 2004. ISBN: 0-47-165631-3. • Taguchi, Genichi. “Introduction to Quality Engineering: Designing Quality into Products and Processes”, Quality Resources, 1986. ISBN: 9-28-331084-5.
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	1	30
Quiz	0	0
Homeworks, Performances	1	30
Final Exam	1	40
Total	3	100
Contribution of Term (Year) Learning Activities to Success Grade		60
Contribution of Final Exam to Success Grade		40
Total		100
Measurement and Evaluation Techniques Used in the Course
Information

ECTS / WORK LOAD TABLE

CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High