At the end of this course, the students; 1) Know the basic concepts of productivity and quality management. 2) Know the relationship between quality and productivity. 3) Know how to use the quality management in organizations. 4) Know different statistical quality control techniques.
MODE OF DELIVERY
Face to face
PRE-REQUISITES OF THE COURSE
No
RECOMMENDED OPTIONAL PROGRAMME COMPONENT
NA
COURSE DEFINITION
To learn productivity and quality concepts, to explain the relationship between productivity and quality, to comprehend basic concepts of quality management, and to gain the ability to use statistical process control tools within the context of quality management.
COURSE CONTENTS
WEEK
TOPICS
1st Week
Definitions of quality, dimensions of quality, quality of design and conformance, PDCA cycle, quality costs
2nd Week
Definitions of productivity, the relationship between productivity and quality, productivity and quality management, Voice of the Customer / Kano Model
3rd Week
Basic statistics concepts used in quality management I
4th Week
Basic statistical concepts used in quality management II
5th Week
Statistical process control
6th Week
Statistical process control
7th Week
Quantitative control charts
8th Week
Mid-term examination
9th Week
Quantitative control charts
10th Week
Qualitative control charts
11th Week
Qualitative control charts
12th Week
Process capability analysis
13th Week
Application examples
14th Week
Minitab/Excel applications
RECOMENDED OR REQUIRED READING
Integrating Productivity and Quality Management, J. A. Edosomwan (CRC Press, 1995); Quality Management for the Technology Sector, J. Berk, S. Berk, (Routledge, 2000); Montgomery, D.C, Introduction to Statistical Quality Control, John Wiley&Sons.
PLANNED LEARNING ACTIVITIES AND TEACHING METHODS
Lecture,Discussion
ASSESSMENT METHODS AND CRITERIA
Quantity
Percentage(%)
Mid-term
1
40
Quiz
2
10
Total(%)
50
Contribution of In-term Studies to Overall Grade(%)
50
Contribution of Final Examination to Overall Grade(%)
50
Total(%)
100
ECTS WORKLOAD
Activities
Number
Hours
Workload
Midterm exam
1
2
2
Preparation for Quiz
2
6
12
Individual or group work
14
1,5
21
Preparation for Final exam
1
33
33
Course hours
14
3
42
Preparation for Midterm exam
1
25
25
Laboratory (including preparation)
Final exam
1
2
2
Homework
Quiz
2
,5
1
Total Workload
138
Total Workload / 30
4,6
ECTS Credits of the Course
5
LANGUAGE OF INSTRUCTION
Turkish
WORK PLACEMENT(S)
No
KEY LEARNING OUTCOMES (KLO) / MATRIX OF LEARNING OUTCOMES (LO)