School of Engineering \ Industrial Engineering
Course Credit
ECTS Credit
Course Type
Instructional Language
Programs that can take the course
Industrial Engineering Undergraduate Program
Introduction to quality management and quality concepts, statistical process control techniques, quality control charts for variables and attributes, acceptance sampling, design of experiments, component and system reliability
Textbook and / or References
1.Introduction to Statistical Quality Control, 8th Edition, Douglas C. Montgomery, John Wiley and Sons Co., 2019 (you may also use the 7th ed., 2012)
2.Course notes (ppt)
3.İstatistiksel Kalite Kontrolü, B. Birgören, Seçkin Yayıncılık, Ankara, 4. baskı, 2025
4. Fundamentals of quality control and improvement, 5th ed., A. Mitra, John Wiley & Sons, 2021.
This course, at the undergraduate level, serves as an introduction to the field of quality planning and control. Its primary objective is to familiarize students with contemporary methodologies and practices employed in this area. The course will emphasize the application of statistical tools within the framework of total quality management to analyze practical challenges. By the end of the course, students should have acquired essential competencies and statistical analysis techniques essential for resolving quality planning and control issues typically encountered by engineers in their professional settings.
1. Define and explain basic concepts and methods of total quality management, quality standards, quality planning and control
2. Apply basic quality planning and control techniques using personal computer-assisted tools
3. Identify and analyze quality related problems using problem solving techniques
4. Evaluate quality control data, formulate data-driven decisions regarding quality, and justify recommendations for quality improvement
5. Design experiments, and analyze the results of conducted experiments
6. Collaborate effectively with partners to achieve shared learning goals related to quality control.
Week 1: Introduction to the course and fundamental concepts of quality
Week 2: Quality management, Six Sigma methodology, cost of quality, relation between quality and productivity
Week 3: Statistical Quality Control Methods and Philosophy, QM Tools: “Magnificent Seven”,
Week 4: Control charts for variables: X-bar and R Charts
Week 5: Control charts for variables: X-bar and S Charts, Quality Control Charts for Individual Measurements
Week 6: Control Charts for Attributes: Control Chart for Fraction Nonconforming, Control Charts for Nonconformities, c Charts
Week 7: EWMA Charts, Multivariate Process Control Charts
Week 8: Six-sigma quality, process capability analysis
Week 9: Quality by inspection- Lot-by-lot acceptance sampling for attributes.
Week 10: Basic Experimental Design for Process Improvement: full factorial designs
Week 11: Basic Experimental Design for Process Improvement: regression approach, fractional factorial designs
Week 12: An Introduction to Robust Design; Modeling product lifetime - reliability and availability
Tentative Assesment Methods
• Midterm 35 %
• Final 50 %
• Homework 15 %
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Program Outcome
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Course Outcome
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C
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C
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B
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B
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C
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C
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B
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C
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C
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D
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C
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B
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C
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D
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C
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B
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B
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C
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D, A
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C
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B
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A
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B
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