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Information
| Code | EM546 |
| Name | Statistical Quality Control |
| Term | 2023-2024 Academic Year |
| Term | Spring |
| Duration (T+A) | 3-0 (T-A) (17 Week) |
| ECTS | 6 ECTS |
| National Credit | 3 National Credit |
| Teaching Language | Türkçe |
| Level | Yüksek Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. RIZVAN EROL |
| Course Instructor |
1 |
Course Goal / Objective
The primary aim of this course is to study modern statistical methods for quality control and improvement. Basic knowledge of statistical concepts such as random variables and distributions, probability and hypothesis testing is required.
Course Content
Introduction to quality concepts. fundamental statistics required for quality. statistical methods for quality improvement. data analysis. pareto analysis. cause-and-effect diagrams. histograms and scatter diagrams. control charts and sampling methods. review of statistical packages for quality (SPSS, MINITAB, S-plus, Statistica).
Course Precondition
None
Resources
MONTGOMERY, D. C., 2013, Introduction To Statistical Quality Control (7th edition), John Wiley& Sons, Inc.
Notes
CHANDRA, M. J., 2001, Statistical Quality Control, CRC Press.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | Uses Statistical Process Control(SPC) methods for process monitoring and improvement. |
| LO02 | Selects and applies an appropriate control chart type for a selected process or product quality characteristics. |
| LO03 | Analyzes capability of a process or a measurement system. |
| LO04 | Learns to use a computer software for Statistical Quality Control |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Conducts scientific research in industrial engineering, understands, interprets and applies knowledge in his/her field domain both in-depth and in-breadth. | |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquires detailed knowledge for methods and tools of industrial engineering and their limitations. | 3 |
| PLO03 | Bilgi - Kuramsal, Olgusal | Keeps up with the recent changes and applications in the field of Industrial Engineering and examines and learns these innovations when necessary. | 4 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Identifies, gathers and uses necessary information and data. | 5 |
| PLO05 | Beceriler - Bilişsel, Uygulamalı | Has the ability to develop/propose new and/or original ideas and methods, propose new solutions for designing systems, components or processes. | |
| PLO06 | Beceriler - Bilişsel, Uygulamalı | Designs Industrial Engineering problems, develops new methods to solve the problems and applies them. | 4 |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Designs and performs analytical modeling and experimental research and analyze/solves complex matters emerged in this process. | 5 |
| PLO08 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Works in multi-disciplinary teams, take a leading role and responsibility and develop solutions for complex problems. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Completes and applies the knowledge by using limited resources in scientific methods and integrates the knowledge in the field with the knowledge form various disciplines. | 5 |
| PLO10 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Uses a foreign language in verbal and written communication at least B2 level of European Language Portfolio. | |
| PLO11 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Presents his/her research findings systematically and clearly in oral or written forms in national and international platforms. | |
| PLO12 | Yetkinlikler - İletişim ve Sosyal Yetkinlik | Understands social and environmental implications of engineering practice. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Considers social, scientific and ethical values in data collection, interpretation and announcement processes and professional activities. | 3 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Control Charts for Variables I | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Alıştırma ve Uygulama |
| 2 | Control Charts for Variables II | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama |
| 3 | Control Charts for Attributes I | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama |
| 4 | Control Charts for Attributes II | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Alıştırma ve Uygulama |
| 5 | Process and Measurement System Capability | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Tartışma, Alıştırma ve Uygulama |
| 6 | CUSUM and EWMA Control Charts I | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 7 | CUSUM and EWMA Control Charts II | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Problem Çözme |
| 8 | Mid-Term Exam | prepare for the exam | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Process Design and Improvement with Designed Experiments I | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 10 | Process Design and Improvement with Designed Experiments II | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 11 | Lot-by-Lot Acceptance Sampling for Attributes I | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 12 | Lot-by-Lot Acceptance Sampling for Attributes II | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 13 | Other Acceptance Sampling Techniques I | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 14 | Other Acceptance Sampling Techniques II | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 15 | Project Presentations | prepare a presentation | Ölçme Yöntemleri: Proje / Tasarım |
| 16 | Final Exams Week I | prepare for the exam | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Final Exams Week II | prepare for the exam | Ölçme Yöntemleri: Yazılı Sınav |
Student Workload - ECTS
| Works | Number | Time (Hour) | Workload (Hour) |
|---|---|---|---|
| Course Related Works | |||
| Class Time (Exam weeks are excluded) | 14 | 3 | 42 |
| Out of Class Study (Preliminary Work, Practice) | 14 | 5 | 70 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 0 | 0 | 0 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 15 | 15 |
| Final Exam | 1 | 30 | 30 |
| Total Workload (Hour) | 157 | ||
| Total Workload / 25 (h) | 6,28 | ||
| ECTS | 6 ECTS | ||