A Student from the Production Engineering Department gain a Master about decision support system development of Reliability Engineering

A student Amar Ibrahim Abdul Wahid gained a master's degree in Industrial Engineering Science from Production and Metal Engineering Department at the University of Technology tagged: "decision support system development of Reliability Engineering"
In the discussion that held on Sunday, September 4, 2016 on the hall of dead Prof. Dr. Ibrahim Mahmood Mansour at the department.
The committee consisted of:-
- assist.Prof.Dr. Hussein Salem Gitan / UOB (the head)
- assist.Prof.Dr. Ahmed Abdel Samie. (Member)
- Lec.Dr. Lama Adnan Hameed. (Member)
- Lec.Dr. Amjad Barzan. (Supervisor)
(And all from the University of Technology)
- Lec.Dr. Mohammed Abdul Razzaq UOM (scientific expert)
- assist.Prof.Dr. Iyad Jihad Shamsalddin (linguistic expert)

The research noted that he has studied predictive maintenance and the possibility of improvement through the implementation of situational maintenance program, in addition to the practical part was based on actual data of operating system that had been gained from the second power station of south Baghdad, which consists of several units for power generation. "Diesel generators" the data contain the failure type that caused the stop the operation units for the period from 01.01.2014 until 31.12.2014.
The second power station south of Baghdad has 16 asymmetrical operation units, each operation unit consist of the diesel generator, which consists of several sub-systems. It has been selected five units as a study case in this research. roads that have been applied of the data initial analysis consists of calculating the average of time repair "MTTR" and the average time between failure and another "MTBF" and account availability "A" for the five units. Through using nonparametric methods it has been identified suitable statistical distribution that represents failure data of five units' .it is founded the Bill distribution it is the best distribution of the data.