ENM304 Statistical Quality Assurance Techniques

4 ECTS - 2-1 Duration (T+A)- 6. Semester- 2.5 National Credit

Information

Unit FACULTY OF ENGINEERING
INDUSTRIAL ENGINEERING PR.
Code ENM304
Name Statistical Quality Assurance Techniques
Term 2021-2022 Academic Year
Semester 6. Semester
Duration (T+A) 2-1 (T-A) (17 Week)
ECTS 4 ECTS
National Credit 2.5 National Credit
Teaching Language Türkçe
Level Lisans Dersi
Type Normal
Label C Compulsory
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. RIZVAN EROL
Course Instructor Prof. Dr. RIZVAN EROL (Bahar) (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

Resources

Notes



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.


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 - Adequate knowledge in mathematics, science and related engineering discipline; ability to use theoretical and practical knowledge in these areas in complex engineering problems. 5
PLO02 - An ability to identify, formulate, and solve complex industrial engineering problems; the ability to select and apply appropriate analysis and modeling methods for this purpose. 4
PLO03 - An ability to design a complex system, process, device, or product to meet specific requirements under realistic constraints and conditions; the ability to apply modern design methods for this purpose. 4
PLO04 - Ability to develop, select and use modern techniques and tools necessary for the analysis and solution of complex problems encountered in engineering applications; ability to use information technologies effectively. 5
PLO05 - Ability to design, conduct experiments, collect data, analyze and interpret results for the study of complex engineering problems or discipline-specific research topics. 4
PLO06 - Ability to work effectively in disciplinary and multidisciplinary teams; self-study skills. 3
PLO07 - Ability to communicate effectively in Turkish presentation and in writing; knowledge of at least one foreign language; Ability to write effective reports and understand written reports, to prepare design and production reports, to make effective presentations, to give clear and understandable instruction and receiving skills. 4
PLO08 - Awareness of the necessity of lifelong learning; the ability to access information, follow developments in science and technology, and constantly renew oneself. 3
PLO09 - To act in accordance with ethical principles, professional and ethical responsibility awareness; information about standards used in engineering applications. 3
PLO10 - Information on business practices such as project management, risk management and change management; awareness about entrepreneurship and innovation; information on sustainable development. 3
PLO11 - Information about the effects of engineering applications on health, environment and safety in universal and social dimensions and the problems reflected in the engineering field of the age; awareness of the legal consequences of engineering solutions. 3
PLO12 - Ability to make use of the power of effective communication in professional life, to interpret the developments correctly and to make decisions. 3
PLO13 - Ability to design, develop, implement and improve integrated systems including machinery, time, information and money. 3
PLO14 - Ability to design, develop, implement and improve complex product, process, business, system design by applying modern design methods under realistic conditions and constraints such as cost, environment, sustainability, productivity, ethics, health, safety and political issues. 3


Week Plan

Week Topic Preparation Methods
1 Quality improvement methods reading the related textbook chapter
2 Modeling process quality -review of basic statistical topics review of basic statistical methods
3 Modeling process quality -random distributions reading the related textbook chapter
4 Statistical inference for assessing process quality reading the related textbook chapter
5 Statistical inference for assessing process quality reading the related textbook chapter
6 Basics of Statistical Process Control(SPC) reading the related textbook chapter
7 Control charts for variables - foundations reading the related textbook chapter
8 Mid-Term Exam preparation for the exam
9 Control charts for variables - X, R and s charts reading the related textbook chapter
10 Control charts for attributes - foundations reading the related textbook chapter
11 Control charts for attributes - np, p, c and u charts reading the related textbook chapter
12 Process and measurement capability analysis reading the related textbook chapter
13 Acceptance sampling plans - foundations reading the related textbook chapter
14 Acceptance sampling plans - single, double and continuous sapling plans reading the related textbook chapter
15 Project presentations preparation for the presentation
16 Term Exams preparation for the exam
17 Term Exams preparation for the exam


Assessment (Exam) Methods and Criteria

Assessment Type Midterm / Year Impact End of Term / End of Year Impact
1. Midterm Exam 100 40
General Assessment
Midterm / Year Total 100 40
1. Final Exam - 60
Grand Total - 100


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: 06.05.2025 11:31