Affiliation
Dr. Hamid Moakedi, Assistant Professor, Industrial Engineering Department, College of Engineering, Qom University of Technology, Qom, Iran.
Email: moakedi@qut.ac.ir Academic Background
- PhD in Industrial Engineering (2013-2018), Iran University of Science and Technology, Tehran, Iran.
- Dissertation Topic: “Optimization of Maintenance Decisions for a Complex Multi-Component System Subject to Hidden and Revealed Failures”.
- Supervisor: Prof. Seyed Mohammad Seyedhosseini.
- MSc in Industrial Engineering (2009-2011), Tafresh University, Tafresh, Iran.
- Thesis Topic: “Periodic Inspection Optimization Models for Multi-Component systems”.
- Supervisor: Dr. Hamid Reza Golmakani.
- BSc in Industrial Engineering (2005-2009), Tafresh University, Tafresh, Iran.
Honors & Awards
- Talented Student Admission at the PhD Level (2013), Industrial Engineering Department, Iran University of Science and Technology, Tehran, Iran.
- Outstanding Researcher Award (2012), Iran's National Elites Foundation.
- Best Graduate Student Award at the MSc Level (2011), Industrial Engineering Department, Tafresh University, Tafresh, Iran.
- Talented Student Admission at the MSc Level (2009), Industrial Engineering Department, Tafresh University, Tafresh, Iran.
- Best Graduate Student Award at the BSc Level (2009), Industrial Engineering Department, Tafresh University, Tafresh, Iran.
Research Interests
- Maintenance Optimization and Reliability Engineering
- Modelling Real World Using Stochastic Processes
- Production Planning
- Economic Evaluation
Teaching Responsibility
- Graduate Courses:
- Maintenance, Replacement and Reliability
- Data Mining
- Industrial Systems Design
- Design of Automated Manufacturing Systems
- Dynamic Programming
- Undergraduate Courses:
- Probability Theory and Applications
- Probability Models and Queuing theory
- Engineering Statistics
- Statistical Quality Control
- Accounting
- Engineering Economics
- Work Study
- Production Planning
Professional Experiences
- Assistant Professor (Sep2021-Present), Industrial Engineering Department, College of Engineering, Qom University of Technology, Qom, Iran.
- Sessional Lecturer (Jan2021-Sep2021), Industrial Engineering Department, Jam school of Engineering, Persian Gulf University, Jam, Iran.
- Sessional Lecturer (Sep2020-Sep2021), Industrial Engineering Department, Damghan University, Damghan, Iran.
- Sessional Lecturer (Jan2020-Sep2021), Industrial Engineering Department, Tafresh University, Tafresh, Iran.
- Sessional Lecturer (Jan2012-Sep2019), Industrial Engineering Department, Semnan University, Semnan, Iran.
- Research Assistant (Sep2014-Sep2016), Grant of Iran's National Elites Foundation, Industrial Engineering Department, Iran University of Science and Technology, Tehran, Iran.
Selected Journal Publications
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Moakedi, H., Seyedhosseini, S. M., & Shahanaghi, K. (2019). A block-based inspection policy for a multi-component system subject to two failure modes with stochastic dependence. Journal of Quality in Maintenance Engineering.
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Seyedhosseini, S. M., Moakedi, H., & Shahanaghi, K. (2018). Imperfect inspection optimization for a two-component system subject to hidden and two-stage revealed failures over a finite time horizon. Reliability Engineering & System Safety, 174, 141-156.
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Golmakani, H. R., & Moakedi, H. (2013). Optimal nonperiodic inspection scheme for a multicomponent repairable system with failure interaction using A* search algorithm. The International Journal of Advanced Manufacturing Technology, 67(5-8), 1325-1336.
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Golmakani, H. R., & Moakedi, H. (2012). Optimal non-periodic inspection scheme for a multi-component repairable system using A∗ search algorithm. Computers & Industrial Engineering, 63(4), 1038-1047.
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Golmakani, H. R., & Moakedi, H. (2012). Periodic inspection optimization model for a two-component repairable system with failure interaction. Computers & Industrial Engineering, 63(3), 540-545.
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Golmakani, H. R., & Moakedi, H. (2012). Periodic inspection optimization model for a multi-component repairable system with failure interaction. The International Journal of Advanced Manufacturing Technology, 61(1), 295-302.
