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Resume
Akram Rezai
Personal details
Address: No.81, Samen3, Samen Square,
Mashhad, Khorasan Razavi. province, Iran
Tel: 00989153589507
Email: Akram_Rezai63@yahoo.com
Date of Birth: 26 November 1384
Nationality: Iranian
Marital status: Single
Education
2009-2011 Master of "industrial engineering", Bu-Ali-
Sina University, Hamedan, Iran
2004-2008 B.S in "applied mathematics" , Birjand
University, Birjand, Iran
Professional Experiences
2013-2014
• Material planning in Ferdows Sugar
Industry company
I managed all storage (spare parts storage, products
storage, and material requirements storage) based on
MRP1 and MRP2 methodology. I had been planned
and controled of the following:
1. materiel requirements
2.spare parts
3. products loading
• Project manager in design an
implementation of maintenance system in
Ferdows Sugar Industry company
Quick details:
● Design of Maintenance
system
● Production planning
● Project management
● Quality assurance
● Reliability and safety
● Data Analyst
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2
2011-2013
• Designer and planner of preventive
maintenance system of Toos porcelain co.
• Product planning manager assistant in
Toos Porcelain co.
• Integrated management system analysor in
Toos Porcelain co.
2010-2011
• Maintenance system design of East oil and
Gas production company to increase the
reliability of Wellheads.
In complex industrial systems there are always
Operational activities, planning, maintenance, and
external events and factors such as individuals,
subsystems, components, and environment have
mutual interactions with complex behavior. Defects
complex systems influence many negative effects on
activity, social and environmental. An example of
complex industrial systems is industrial company gas,
oil and petrochemicals. In these companies there is
always high risk because of uncertainty and ignorance.
Although we cannot eliminate the risk, but we can
certainly reduce or control risk using an appropriate
safety approach.
I applied Dynamic Bayesian Networks (DBN) and
HAZOP to evaluate the safety and reliability the
wellhead. Using integrated HAZOP and T-slice
temporal Bayesian net predict the reliability and design
proper maintenance plan. Since the output of this
model is quantitative, The operator can easily prioritize
the risk and make decisions based on it. This approach
to modeling has advantage more than classical
methods that include: Feature updates, the ability to
run despite the lack of sufficient data, the ability to
cover all relationship between the system's risks,
quantitative output, and sensitivity analysis.
Educational Trainings
• Integrated quality management workshop in
Talayeh Gostar institute
• Productivity management system workshop
• Internal auditor and lead auditor workshop
• The basics concepts and principles of
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3
maintenance workshop in Pardaz Tadbir
consultants institute
• Planned preventative maintenance workshop
in Pardaz Tadbir consultants institute
• The maintenance key index workshop in
Pardaz Tadbir consultants institute
• Equipment failure analysis methods workshop
in Pardaz Tadbir consultants institute
Publications
• Using HAZOP to determine graphical structure
of Bayesian Networks, 9
th
international
industrial engineering conference, Janury 20-
21, 2013
• Application of PROMETHEE outranking
method by using some important yield
components for investigating effect of on- farm
seed priming on the yield of maize, Journal of
Aburaihan
• Strategic management in Non-profit
organization Vision-based resource, 5th
international Strategic management
conference, January 9-10, 2011
• Quality and dynamic model for risk
management and reliability in oil, gas and
petrochemical industries, journal of Reliability
and safety engineering
• Translation to Persian of the books Iso 55000,
Iso 55001, Iso 55002
Skills
• English language
• Professional in: SPSS, Minitab, Comfar, MSP,
Primavera, Vensim
• Knowning about: SQL, C,C
++
,Fortran, Pascal
PDF created with pdfFactory Pro trial version www.pdffactory.com

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Resume

  • 1. 1 Resume Akram Rezai Personal details Address: No.81, Samen3, Samen Square, Mashhad, Khorasan Razavi. province, Iran Tel: 00989153589507 Email: Akram_Rezai63@yahoo.com Date of Birth: 26 November 1384 Nationality: Iranian Marital status: Single Education 2009-2011 Master of "industrial engineering", Bu-Ali- Sina University, Hamedan, Iran 2004-2008 B.S in "applied mathematics" , Birjand University, Birjand, Iran Professional Experiences 2013-2014 • Material planning in Ferdows Sugar Industry company I managed all storage (spare parts storage, products storage, and material requirements storage) based on MRP1 and MRP2 methodology. I had been planned and controled of the following: 1. materiel requirements 2.spare parts 3. products loading • Project manager in design an implementation of maintenance system in Ferdows Sugar Industry company Quick details: ● Design of Maintenance system ● Production planning ● Project management ● Quality assurance ● Reliability and safety ● Data Analyst PDF created with pdfFactory Pro trial version www.pdffactory.com
  • 2. 2 2011-2013 • Designer and planner of preventive maintenance system of Toos porcelain co. • Product planning manager assistant in Toos Porcelain co. • Integrated management system analysor in Toos Porcelain co. 2010-2011 • Maintenance system design of East oil and Gas production company to increase the reliability of Wellheads. In complex industrial systems there are always Operational activities, planning, maintenance, and external events and factors such as individuals, subsystems, components, and environment have mutual interactions with complex behavior. Defects complex systems influence many negative effects on activity, social and environmental. An example of complex industrial systems is industrial company gas, oil and petrochemicals. In these companies there is always high risk because of uncertainty and ignorance. Although we cannot eliminate the risk, but we can certainly reduce or control risk using an appropriate safety approach. I applied Dynamic Bayesian Networks (DBN) and HAZOP to evaluate the safety and reliability the wellhead. Using integrated HAZOP and T-slice temporal Bayesian net predict the reliability and design proper maintenance plan. Since the output of this model is quantitative, The operator can easily prioritize the risk and make decisions based on it. This approach to modeling has advantage more than classical methods that include: Feature updates, the ability to run despite the lack of sufficient data, the ability to cover all relationship between the system's risks, quantitative output, and sensitivity analysis. Educational Trainings • Integrated quality management workshop in Talayeh Gostar institute • Productivity management system workshop • Internal auditor and lead auditor workshop • The basics concepts and principles of PDF created with pdfFactory Pro trial version www.pdffactory.com
  • 3. 3 maintenance workshop in Pardaz Tadbir consultants institute • Planned preventative maintenance workshop in Pardaz Tadbir consultants institute • The maintenance key index workshop in Pardaz Tadbir consultants institute • Equipment failure analysis methods workshop in Pardaz Tadbir consultants institute Publications • Using HAZOP to determine graphical structure of Bayesian Networks, 9 th international industrial engineering conference, Janury 20- 21, 2013 • Application of PROMETHEE outranking method by using some important yield components for investigating effect of on- farm seed priming on the yield of maize, Journal of Aburaihan • Strategic management in Non-profit organization Vision-based resource, 5th international Strategic management conference, January 9-10, 2011 • Quality and dynamic model for risk management and reliability in oil, gas and petrochemical industries, journal of Reliability and safety engineering • Translation to Persian of the books Iso 55000, Iso 55001, Iso 55002 Skills • English language • Professional in: SPSS, Minitab, Comfar, MSP, Primavera, Vensim • Knowning about: SQL, C,C ++ ,Fortran, Pascal PDF created with pdfFactory Pro trial version www.pdffactory.com