GRADUATE SCHOOL

M.SC. In Industrial Engineering (With Thesis)

STAT 553 | Course Introduction and Application Information

Course Name
Reliability
Code
Semester
Theory
(hour/week)
Application/Lab
(hour/week)
Local Credits
ECTS
STAT 553
Fall/Spring
3
0
3
7.5

Prerequisites
None
Course Language
English
Course Type
Elective
Course Level
Second Cycle
Mode of Delivery -
Teaching Methods and Techniques of the Course -
Course Coordinator -
Course Lecturer(s)
Assistant(s) -
Course Objectives This course aims to provide some concepts and techniques for evaluating the reliability of engineering systems. The course introduces the structural properties of coherent systems, reliability of coherent systems, classes of life distributions based on notions of ageing, multivariate distributions for dependent components.
Learning Outcomes The students who succeeded in this course;
  • will be able to describe the importance of reliability.
  • will be able to use methods for measuring reliability.
  • will be able to use effective statistical techniques for analyzing engineering systems.
  • will be able to anaylse the lifetime properties of systems and define the system signature.
  • will be able to do stokastic ordering.
Course Description System reliability models and their properties are the focus of this course.

 



Course Category

Core Courses
Major Area Courses
Supportive Courses
Media and Management Skills Courses
Transferable Skill Courses

 

WEEKLY SUBJECTS AND RELATED PREPARATION STUDIES

Week Subjects Related Preparation
1 Needs for reliability modeling “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
2 Reliability concepts “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
3 Structure functions, coherent systems “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
4 Series and parallel systems “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
5 Standby system models “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
6 Methods for system reliability evaluation “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
7 koutofn systems coherent systems “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
8 Consecutive koutofn systems “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
9 Other koutofn and consecutive koutofn models “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
10 Lifetime characteristics of systems “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
11 The concept of system signature “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
12 Stochastic ordering “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
13 Multistate system models “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
14 Discussion on recent developments in reliability engineering and reliability theory “Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618
15 Semester review
16 Final exam

 

Course Notes/Textbooks

“Optimal reliability modeling” by W. Kuo and M.J. Zuo, John Wiley & Sons, Inc., 2003. ISBN-13: 978-0471397618

Suggested Readings/Materials

 ‘’System Signatures and their Applications in Engineering Reliability’’, Samaniego, F. J. 2007. Springer Science+Business Media, LLC, New York, NY,USA

 

EVALUATION SYSTEM

Semester Activities Number Weigthing
Participation
Laboratory / Application
Field Work
Quizzes / Studio Critiques
Portfolio
Homework / Assignments
Presentation / Jury
Project
1
20
Seminar / Workshop
Oral Exams
Midterm
1
30
Final Exam
1
50
Total

Weighting of Semester Activities on the Final Grade
50
Weighting of End-of-Semester Activities on the Final Grade
50
Total

ECTS / WORKLOAD TABLE

Semester Activities Number Duration (Hours) Workload
Theoretical Course Hours
(Including exam week: 16 x total hours)
16
3
48
Laboratory / Application Hours
(Including exam week: '.16.' x total hours)
16
0
Study Hours Out of Class
14
6
84
Field Work
0
Quizzes / Studio Critiques
0
Portfolio
0
Homework / Assignments
0
Presentation / Jury
0
Project
1
25
25
Seminar / Workshop
0
Oral Exam
0
Midterms
1
30
30
Final Exam
1
38
38
    Total
225

 

COURSE LEARNING OUTCOMES AND PROGRAM QUALIFICATIONS RELATIONSHIP

#
Program Competencies/Outcomes
* Contribution Level
1
2
3
4
5
1

To have an appropriate knowledge of methodological and practical elements of the basic sciences and to be able to apply this knowledge in order to describe engineering-related problems in the context of industrial systems.

2

To be able to identify, formulate and solve Industrial Engineering-related problems by using state-of-the-art methods, techniques and equipment.

3

To be able to use techniques and tools for analyzing and designing industrial systems with a commitment to quality.

4

To be able to conduct basic research and write and publish articles in related conferences and journals.

5

To be able to carry out tests to measure the performance of industrial systems, analyze and interpret the subsequent results.

6

To be able to manage decision-making processes in industrial systems.

7

To have an aptitude for life-long learning; to be aware of new and upcoming applications in the field and to be able to learn them whenever necessary.

8

To have the scientific and ethical values within the society in the collection, interpretation, dissemination, containment and use of the necessary technologies related to Industrial Engineering.

9

To be able to design and implement studies based on theory, experiments and modeling; to be able to analyze and resolve the complex problems that arise in this process; to be able to prepare an original thesis that comply with Industrial Engineering criteria.

10

To be able to follow information about Industrial Engineering in a foreign language; to be able to present the process and the results of his/her studies in national and international venues systematically, clearly and in written or oral form.

*1 Lowest, 2 Low, 3 Average, 4 High, 5 Highest

 


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