Statistical Quality Control
Industrial Engineering
Faculty of Engineering
First Cycle (Bachelor's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Statistical Quality Control | MEN410 | Compulsory | Bachelor's degree | 4 | Spring | 5 |
Name of Lecturer(s)
Assistant Prof. Dr. Celal ÖZKALE
Learning Outcomes of the Course Unit
1) Explain the quality and improvement methods.
2) Clarify the sampling methods.
3) Explain the variability of quality. Distinguish the state of control.
4) Draw and comment the control charts.
5) Identify the acceptance sampling. Explain the advantages for each of the consumer and producer.
6) Determine the acceptance plan according to Dodge Romig and MIL-STD-105 systems.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
| Learning Outcomes | ||||||||||||
| 1 | Low | Middle | High | Middle | Low | Low | Low | Low | Low | Low | Low | |
| 2 | Middle | Low | Middle | Low | Low | Low | Low | Low | Low | Middle | Low | |
| 3 | Low | Low | Low | Middle | Low | High | Low | Low | Low | Low | Low | |
| 4 | High | Low | Low | Low | Middle | Low | Low | Low | High | Low | Low | |
| 5 | Middle | High | Low | Low | Low | Low | Low | Low | Low | Low | Low | |
| 6 | High | High | Low | Low | Low | High | Low | Low | Low | Low | Middle | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Experimental Design
Course Contents
This course covers, main information about quality, its historical evoluation, related probability distributions, variability and quality improvement methods, quality control charts and acceptance sampling.
Weekly Schedule
1) The description, concept and history of quality. Quality leaders and their philosophies. Total quality control and total quality management.2) Quality management systems, quality standarts and CE certificate.
3) Quality improvement tools and methods
4) Statistical quality control, qualification, history.
5) Permutations, combinations, probability, probability distributions
6) Sampling and counting, sampling methods
7) Simple random sampling, standard error, confidence intervals, sample size determination
8) Midterm examination/Assessment
9) Quality variability, specification limits, control limits and control state, kontrol charts, averages and standard deviations control charts, averages and dispersion ranges control charts
10) P, nP, U, Un or C control charts
11) Acceptance sampling, its nature, purpose and importance, producer and consumer risks, the role in developing of quality
12) The single acceptance sampling for defective and defect, plan curve, protection of the manufacturer and the consumer against the risks
13) The Dodge Romig acceptance sampling system, MIL-STD-105 A system, determination of the single sampling acceptance plan
14) The double acceptance sampling for defective and defect, double sampling plan curve, the Dodge Romig double acceptance sampling system, determination of the single sampling acceptance plan with MIL-STD-105 A system.
15) Single acceptance sampling with continuous variable
16) Final examination
Recommended or Required Reading
1- N. İşçil, İstatistiksel Kalite Kontrolü, AİTİA Yayınları, 1975.
2- Ş. Gümüşoğlu, İstatistiksel Kalite Kontrolü ve Toplam Kalite Yönetimi Araçları, Beta Yayınları, 2. Bası, 2000.
3- M. Akkurt, Kalite Kontrol, Birsen Yayınevi, 2002.
4- E. L., Grant, R. S., Leavenworth, Statistical Quality Control, McGraw-Hill, 6th edition.
Planned Learning Activities and Teaching Methods
1) Lecture
2) Discussion
3) Drill and Practice
4) Problem Solving
5) Project Based Learning
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required