ENM304 Statistical Quality Assurance Techniques

4 ECTS - 2-1 Duration (T+A)- 6. Semester- 2 National Credit

Information

Code ENM304
Name Statistical Quality Assurance Techniques
Term 2024-2025 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
1 2
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

Update Time: 13.05.2024 02:16