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2014 | 23 | 6 |
Tytuł artykułu

Criticality analysis using risk assessment-based maintenance of a Petrochemical Company

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
To improve maintenance management many evaluations are used to assess the failure risk of hazards in industries. The aim of this study is critical analysis using the risk-based maintenance technique of petrochemical industries. This research is applied in the Fajr Petrochemical Company in southwestern Iran. The assets based on the risk output are prioritized. The criticality analysis showed that 11 failures out of 22 identified failures were at the semi-critical and 11 were at non-critical levels of risk. By this research we can reduce the maintenance cost and prioritize the failures based on their HSE effects and consequence factors.
Słowa kluczowe
Wydawca
-
Rocznik
Tom
23
Numer
6
Opis fizyczny
p.2033-2037,fig.,ref.
Twórcy
autor
  • Faculty of Environmental Studies, Universiti Putra Malaysia, Malaysia
  • Department of Physics and Earth Sciences, Center for Research in Climate Change and Global Warming, Institute for Advanced Studies in Basic Sciences, Zanjan, Iran
  • Faculty of Environmental Studies, Universiti Putra Malaysia, Malaysia
  • Environmental Technology Research Center, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran
autor
  • Faculty of Environmental Studies, Universiti Putra Malaysia, Malaysia
autor
  • Faculty of Environment, Tehran University, Tehran, Iran
  • Faculty of Environmental Studies, Universiti Putra Malaysia, Malaysia
  • Faculty of Marine Biology, Khorramshahr University of Marine Science and Technology, Khorramshahr, Iran
Bibliografia
  • 1. KHAN F. I., ABBASI S. A. MAXCRED, a new software package for rapid risk assessment in chemical process indus­tries. Environ. Modell. Softw. 14, (1), 11, 1999.
  • 2. Internation standard ISO 14224, Petroleum, petrochemical and natural gas industries-collection and exchange of relia­bility and maintenance data for equipment, 2006.
  • 3. AZADEH A., EBRAHIMPOUR V., BAVARE P. A fuzzy inference system for pump failure diagnosis to improve maintenance process: The case of a petrochecmial industry. Expert Syst. Appl. 37, (1), 627, 2010.
  • 4. HADJIMICHAL M. A fuzzy expert system for aviation risk assessment. Expert Syst. Appl. 36, (3, Part 2), 6512, 2009.
  • 5. MIRI LAVASANI S. M., YANG Z., FINLAY J., WANG J. Fuzzy risk assessment of oil and gas offshore wells. Process Saf. Environ. 89, (5), 277, 2011.
  • 6. FERNANDEZ G., FRANCICO J., CRESPO MARQUEZ A. Framework for implementation of maintenance manage­ment in distribution network service providers, Reliab. Eng. Syst. Safe., 94, (10), 1639, 2009.
  • 7. JOZI S.A., SAFFARIAN S., SHAFIEE M. Environmental risk assessment of gas power plant exploitation unit using integratedTOP-EFMEA method. Pol. J. Environ. Stud. 21, (1), 95, 2012.
  • 8. MARQUEZ A.C. The maintenance management frame­work: models and methods for complex systems mainte­nance: Springer Verlag. 2007.
  • 9. ARUNRAJ N. S., MAITI J. Risk-based maintenance-tech­niques and applications. J. Hazard. Mater. 142, (3), 653, 2007.
  • 10. KHAN F. I., HADDARA M. M. Risk-based maintenance (RBM): a quantitative approach for maintenance/inspection scheduling and planning. J. Loss Prevent. Proc. 16, (6), 561, 2003.
  • 11. KRISHNASAMY L., KHAN F., HADDARA M. Development of a risk-based maintenance (RBM) strategy for a power-generating plant. J. Loss Prevent. Proc. 18, (2), 69, 2005.
  • 12. KHAN F. I., HADDARA M. Risk-based maintenance (RBM): A new approach for process plant inspection and maintenance. Process Saf. Prog., 23, (4), 252, 2004.
  • 13. MARQUEZ A. C.,DE LEON P. M., FERNANDEZ J. G., MARQUEZ C. P., CAMPOS M. L. The maintenance man­agement framework: A practical view to maintenance man­agement. Journal of Quality in Maintenance Engineering. 15, (2), 167, 2009.
  • 14. SALMERON J. L., LOPEZ C. A multicriteria approach for risks assessment in ERP maintenance. J. Syst. Software. 83, (10), 1941, 2010.
  • 15. SALMERON J. L., LOPEZ C. Forecasting risk impact on ERP maintenance with augmented fuzzy cognitive maps. Software Engineering, IEEE Transactions on. 38, (2), 439, 2012.
  • 16. KURMRA G., MAITI J. Modeling risk based maintenance using fuzzy analytic network process. Expert Syst. Appl. 2012.
  • 17. LUNG B., LEVRAT E., MARUEZ A. C., ERBE H. Conceptual framework for e-maintenance: Illustration by e- maintenance technologies and platforms. Annual Reviews in Control. 33, (2), 220, 2009.
  • 18. MULLER A., MARQUEZ A. C., LUNG B. On the concept of e-maintenance: Review and current research. Reliab. Eng. Syst. Safe. 93, (8), 1165, 2008.
  • 19. SCHADLER S., MORIO M., BARTKE S., ROHR- ZANKER R., FINKEL M. Designing sustainable and eco­nomically attractive brownfield revitalization options using an integrated assessment model. J. Environ. Manage., 92, (3), 827, 2011.
  • 20. PERELET R., SAFONOV P. Approaches to integrated envi­ronmental and industrial management in Russia for sustain­able development. Industry and Environment, 18, 73, 1995.
  • 21. ABU DABI NATIONAL OIL COMPANY (ADNOK), Health safety and environmental management manual of codes of practice. 2005.
  • 22. MARICAR, N. M. Efficient resource development in elec­tric utilities planning under uncertainty. Virginia Polytechnic Institute and State University. 2004.
  • 23. WORLD BANK (WB), Environemntal hazards and risk assessment, Environmental assessment source book updates, World Bank, Environmental Department. 1997.
  • 24. GENTILE M. Development of a hierarchical fuzzy model for the evaluation of inherent safety. Texas A and M University. 2004.
  • 25. LOTFI A., MOSER M., FALLAHI S., JALILI M., SAVARY M., KAVOUSI K., BEHROUZIRAD, Shadegan Wetland Environmental Management Project, report#2,Human Activities And Their Impacts On The Shadeagn Wetland Ecosystem, (IBRD LOAN 3570 IRN). 2002.
  • 26. Shil Amayesh, Comprehensive environmental plan of Petzone (site4), points with pollution potentian reports. 2006.
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Bibliografia
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