QUALITY CONTROL

END427

Course Code: END427
Semester: Seventh Term (Fall)
Theory+Practice: 3 + 1
ECTS: 5

Course Type

Compulsory Course

Course Level

Bachelor's Degree

Year of Study

Semester

Seventh Term (Fall)

ECTS

Name of Lecturer(s)

Associate Professor Pelin Toktaş

Learning Outcomes

At the end of this course, the students;

Have the ability to define quality.
Have the ability to analyze quality costs.
Gains the ability to calculate poor quality losses with the Taguchi loss function.
Have the ability to use problem solving tools.
Have the ability to make measurement system analysis.
Have the ability to make process capability analysis.
Have the ability to interpret control charts.
Have information about ISO9000 Quality Standards and total quality management.
Have the ability to analyze error types and effects.
Have the ability to create a quality house.
Have the ability to perform quality control based on acceptance sampling.
Have the ability to calculate reliability and system reliability.
Have the ability to work in disciplinary and multi-disciplinary teams and to receive and give clear and understandable instructions.

Mode of Delivery

Face to face

Prerequisites

Recommended Optional Programme Components

None

Course Description

This course introduces quality and quality variation, total quality, quality assurrance (ISO 9000 etc.), data analysis and problem solving, tolerances and spesifications, statistical process control, acceptence planning, quality costs, FMEA (Failure Mode and Effect Analysis), QFD (Quality Function Deployment), benchmarking and strategic management topics.

Course Contents

WEEK	TOPICS
1^st Week	Introduction: Quality concept, Dimensions of quality, Concept of quality improvement, quality assurance based on ISO 9001:2015.
2^nd Week	Quality costs.
3^rd Week	Taguchi quality loss functions.
4^th Week	Problem solving techniques for control and improvement
5^th Week	Control charts for variables.
6^th Week	Control charts for attributes.
7^th Week	Applications of MINITAB for quality control I.
8^th Week	Midterm.
9^th Week	Process capability analysis.
10^th Week	Failure Mode Effect Analysis (FMEA), Quality Function Deployment (QFD).
11^th Week	Acceptance sampling and operating characteristic (OC) curve.
12^th Week	Reliability and system reliability.
13^th Week	Applications of MINITAB for quality control II.
14^th Week	General review

Recommended or Required Reading

Montgomery, D. (2005) Intro to Statistical Quality Control, John Wiley & Sons;
Kolarik, W. (1995) Creating Quality, McGraw-Hill.

Planned Learning Activities and Teaching Methods

Lecture
Questions/Answers
Problem Solving
Discussion
Other
Practice

Assessment Methods and Criteria

	Quantity	Percentage (%)
Mid-term	1	30
Assignment	1	5
Quiz	3	10
Project	1	15
Total(%)		60
Contribution of In-term Studies to Overall Grade(%)		60
Contribution of Final Examination to Overall Grade(%)		40
Total(%)		100

ECTS Allocated Based on Student Workload

Activities	Quantity	Duration (Hour)	Total Workload (Hour)
Midterm exam	1	2	2
Preparation for Quiz	3	2	6
Individual or group work	14	2	28
Preparation for Final exam	1	20	20
Course hours	14	4	56
Preparation for Midterm exam	1	20	20
Laboratory (including preparation)
Final exam	1	2	2
Homework	2	8	16
Project	1	20	20
Total Work Load			170
Total Work Load / 30 (h)			5.66
ECTS Credit of the Course			5

Language of Instruction

Turkish

Work Placement(s)

Programme Qualifications / Learning Outcomes

	LO1	LO2	LO3	LO4	LO5	LO6	LO7	LO8	LO9	LO10	LO11	LO12	LO13
K1	X			X								X
K2	X	X		X			X					X
K3
K4		X		X			X		X
K5	X		X		X	X				X	X
K6													X
K7	X												X
K8
K9						X	X	X					X
K10									X		X
K11