KUM654 - RELIABILITY ENGINEERING

Course Name Code Semester Theory
(hours/week)
Application
(hours/week)
Credit ECTS
RELIABILITY ENGINEERING KUM654 Any Semester/Year 3 0 3 7
Prequisites
Course languageTurkish
Course typeElective 
Mode of DeliveryFace-to-Face 
Learning and teaching strategiesLecture
Question and Answer
Case Study
Problem Solving
Project Design/Management
Other: Individual Work  
Instructor (s)To be determined by the department  
Course objectiveThe objective of this course is to develop students? skills to develop and solve models to evaluate the reliability of products, processes and systems. 
Learning outcomes
  1. target and analyze the reliability of products, processes and systems.
  2. Fit a distribution to lifetime data.
  3. Formulate reliability performance measures for products, processes and systems.
  4. Design replacement and maintenance strategies for products, processes and systems.
  5. Follow the up-to-date reliability studies in literature.
Course Content* Fundamental concepts in reliability engineering
* Economics of reliability
* Structural reliability
* Lifetime distribution and hazard rate
* Reliability testing and planning
* Series/parallel/standby systems
* Complex system reliability
* Bayesian reliability
* Maintenance design and strategy
* Replacement design and strategy
 
References* Zacks, S. (2012) Introduction to Reliability Analysis: Probability Models and Statistical Models, Springer-Verlag.
* Tobias, P.A. Trindade, D.C. (2012) Applied Reliability, 3rd ed. Taylor and Francis.
* Up-to-date research articles about reliability engineering
 

Course outline weekly

WeeksTopics
Week 1Reliability performance measures
Week 2Reliability performance measures
Week 3Lifetime distributions
Week 4Series/parallel/standby systems
Week 5Complex system reliability and reliability networks
Week 6Complex system reliability and reliability networks
Week 7Bayesian reliability
Week 8Bayesian reliability, sequential reliability tests
Week 9Midterm Exam
Week 10Maintenance strategies
Week 11Maintenance strategies
Week 12Replacement strategies
Week 13Replacement strategies
Week 14Economics of reliability
Week 15Study for the Final Exam
Week 16Final exam

Assesment methods

Course activitiesNumberPercentage
Attendance00
Laboratory00
Application00
Field activities00
Specific practical training00
Assignments410
Presentation24
Project216
Seminar00
Midterms120
Final exam150
Total100
Percentage of semester activities contributing grade succes050
Percentage of final exam contributing grade succes050
Total100

WORKLOAD AND ECTS CALCULATION

Activities Number Duration (hour) Total Work Load
Course Duration (x14) 14 3 42
Laboratory 0 0 0
Application000
Specific practical training000
Field activities000
Study Hours Out of Class (Preliminary work, reinforcement, ect)13452
Presentation / Seminar Preparation2612
Project22040
Homework assignment4624
Midterms (Study duration)11616
Final Exam (Study duration) 12424
Total Workload3779210

Matrix Of The Course Learning Outcomes Versus Program Outcomes

D.9. Key Learning OutcomesContrubition level*
12345
1. Reach the necessary knowledge and methods within the scope of Quality and Conformity Assessment Engineering through scientific research; evaluate knowledge and methods; utilize and implement them during quality monitoring, conformity assessment and quality improvement processes with a system point of view.    X 
2. Implement engineering tools and modeling techniques for the innovative design, development, analysis and improvement of quality that integrates man, machine, material and knowledge.     X
3. Determine the national and international standards of products, processes and systems and prepare the necessary documentation.   X  
4. Develop measurement systems to assess the conformity of products and systems and implement them.  X  
5. Develop and plan projects for quality improvement, conformity assessment and standard determination; monitor, control and evaluate projects in progress.     X
6. Evaluate the data obtained from systems through the analysis with advanced methods; complete limited and missing data within the scope of quality and conformity engineering through scientific methods.     X
7. Report and present studies, projects, outcomes/results and evaluations on the design, development, analysis, planning, monitoring and improvement of quality systems.     X
8. Effectively utilize computer software, information systems, information and communication technology related with quality and conformity engineering.     X
9. Are aware of the professional responsibility, describe the technological, economic and environmental effects of the quality and conformity assessment engineering applications, work as an individual independently and as a team member having an understanding of the scientific and institutional ethical values, take responsibility and lead the team.    X 
10. Are aware of the up-to-date quality and conformity assessment engineering applications, follow the necessary literature within the scope of quality and conformity assessment engineering; have the competency to reach knowledge in a foreign language, to quote and implement them    X 

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