TÜRKÇE
ENGLISH
Information
| Code | ENM304 |
| Name | Statistical Quality Assurance Techniques |
| Term | 2023-2024 Academic Year |
| Semester | 6. Semester |
| Duration (T+A) | 2-1 (T-A) (17 Week) |
| ECTS | 4 ECTS |
| National Credit | 2 National Credit |
| Teaching Language | Türkçe |
| Level | Lisans Dersi |
| Type | Normal |
| Mode of study | Yüz Yüze Öğretim |
| Catalog Information Coordinator | Prof. Dr. RIZVAN EROL |
| Course Instructor |
Prof. Dr. RIZVAN EROL
(A Group)
(Ins. in Charge)
|
Course Goal / Objective
The main objective of this course is to study statistical methods and tools for quality control, quality engineering and process improvement.
Course Content
Definition of quality and quality improvement, historical developments, basic statistical quality improvement methods, managerial aspects, description of variability, control charts for variables, control charts for attributes, non-conforming ratio charts, control charts for defect counts, selection criteria between the charts, process capability ratios, measurement capability, acceptance sampling, single, double and continuous sampling plans, Dodge-Romig plans.
Course Precondition
None
Resources
MONTGOMERY, D. C., 2012, Introduction To Statistical Quality Control (7th edition), John Wiley& Sons, Inc.
Notes
ATICIOĞLU, M. R. Ö, 2022, MINITAB ve SPSS Uygulamalı İstatistiksel Kalite Kontrol, Seçkin Yayınevi, Ankara.
Course Learning Outcomes
| Order | Course Learning Outcomes |
|---|---|
| LO01 | He/she uses Statistical Process Control(SPC) methods for process monitoring and improvement. |
| LO02 | He/she selects and applies an appropriate control chart type for a selected process or product quality characteristics. |
| LO03 | He/she analyzes capability of a process or a measurement system. |
| LO04 | Learns how to use a computer software for Statistical Quality Control. |
Relation with Program Learning Outcome
| Order | Type | Program Learning Outcomes | Level |
|---|---|---|---|
| PLO01 | Bilgi - Kuramsal, Olgusal | Have sufficient knowledge of mathematics, science and related engineering disciplines; can use the theoretical and applied knowledge in these fields in complex engineering problems. | 5 |
| PLO02 | Bilgi - Kuramsal, Olgusal | Acquire the ability to identify, define, formulate and solve complex Industrial Engineering problems; for this purpose, will have the ability to choose and apply appropriate analysis and modeling methods. | |
| PLO03 | Bilgi - Kuramsal, Olgusal | Design a complex system, process, device or product to meet specific requirements under realistic constraints and conditions; can apply modern design methods for this purpose. | 3 |
| PLO04 | Bilgi - Kuramsal, Olgusal | Develops modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications, and has the ability to use information technologies effectively. | 5 |
| PLO05 | Bilgi - Kuramsal, Olgusal | Have the ability to design experiments, collect data, analyze and interpret results for the investigation of complex engineering problems or discipline-specific research topics. | 5 |
| PLO06 | Bilgi - Kuramsal, Olgusal | Have the ability to work effectively in disciplinary and multi-disciplinary teams or individually. | |
| PLO07 | Beceriler - Bilişsel, Uygulamalı | Ability to communicate effectively in Turkish orally and in writing; knowledge of at least one foreign language; have the ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give and receive clear and understandable instructions. | |
| PLO08 | Beceriler - Bilişsel, Uygulamalı | Have the awareness of the necessity of lifelong learning; can follow the developments in science and technology and have the ability to constantly renew themselves. | |
| PLO09 | Yetkinlikler - Öğrenme Yetkinliği | Acts in accordance with ethical principles, has knowledge about the standards used in engineering applications with the awareness of professional and ethical responsibility. | |
| PLO10 | Yetkinlikler - Öğrenme Yetkinliği | Gain knowledge of business practices such as project management, risk management and change management; become aware of entrepreneurship and innovation. | |
| PLO11 | Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği | Gains knowledge about the effects of engineering practices on health, environment and safety in universal and social dimensions and the problems of the age reflected in the field of engineering and has awareness of the legal consequences of engineering solutions. | 3 |
| PLO12 | Yetkinlikler - Öğrenme Yetkinliği | They can benefit from the power of effective communication in their professional life and have the ability to interpret developments correctly. | |
| PLO13 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve integrated systems involving machine, time, information and money. | |
| PLO14 | Yetkinlikler - Öğrenme Yetkinliği | Have the ability to design, develop, implement and improve complex products, processes, businesses, systems by applying modern design methods, under realistic conditions and constraints such as cost, environment, sustainability, manufacturability, ethical, health, safety and political issues. | 4 |
Week Plan
| Week | Topic | Preparation | Methods |
|---|---|---|---|
| 1 | Quality improvement methods | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma |
| 2 | Modeling process quality -review of basic statistical topics | review of basic statistical methods | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Problem Çözme |
| 3 | Modeling process quality -random distributions | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Problem Çözme |
| 4 | Statistical inference for assessing process quality I | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Problem Çözme |
| 5 | Statistical inference for assessing process quality II | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Problem Çözme |
| 6 | Basics of Statistical Process Control(SPC) | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Problem Çözme |
| 7 | Control charts for variables - foundations | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Problem Çözme |
| 8 | Mid-Term Exam | preparation for the exam | Ölçme Yöntemleri: Yazılı Sınav |
| 9 | Control charts for variables - X, R and s charts | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Tartışma, Problem Çözme |
| 10 | Control charts for attributes - foundations | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Problem Çözme |
| 11 | Control charts for attributes - np, p, c and u charts | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Problem Çözme |
| 12 | Process and measurement capability analysis | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Problem Çözme |
| 13 | Acceptance sampling plans - foundations | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Problem Çözme |
| 14 | Acceptance sampling plans - single, double and continuous sapling plans | reading the related textbook chapter | Öğretim Yöntemleri: Anlatım, Soru-Cevap, Tartışma, Problem Çözme |
| 15 | Sample problem solutions | a general review all topics covered during the course | Öğretim Yöntemleri: Soru-Cevap, Problem Çözme |
| 16 | Term Exams | preparation for the exam | Ölçme Yöntemleri: Yazılı Sınav |
| 17 | Term Exams | preparation 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 | 3 | 42 |
| Assesment Related Works | |||
| Homeworks, Projects, Others | 1 | 2 | 2 |
| Mid-term Exams (Written, Oral, etc.) | 1 | 7 | 7 |
| Final Exam | 1 | 18 | 18 |
| Total Workload (Hour) | 111 | ||
| Total Workload / 25 (h) | 4,44 | ||
| ECTS | 4 ECTS | ||