Criticality Analysis of Electromechanical Equipment Maintenance. A Case Study in Sasol Synfuels Catalyst Preparation Unit

Criticality Analysis of Electromechanical Equipment Maintenance. A Case Study in Sasol Synfuels Catalyst Preparation Unit

  IJETT-book-cover           
  
© 2024 by IJETT Journal
Volume-72 Issue-1
Year of Publication : 2024
Author : Pretty Maphosa, Patrick Nziu, Leornard Masu
DOI : 10.14445/22315381/IJETT-V72I1P110

How to Cite?

Pretty Maphosa, Patrick Nziu, Leornard Masu, "Criticality Analysis of Electromechanical Equipment Maintenance. A Case Study in Sasol Synfuels Catalyst Preparation Unit," International Journal of Engineering Trends and Technology, vol. 72, no. 1, pp. 93-100, 2024. Crossref, https://doi.org/10.14445/22315381/IJETT-V72I1P110

Abstract
The subject of maintenance optimization is not new, and many researchers have explored it. However, it is seen that one optimization solution cannot be used in all industries. Each industry and equipment thereof are unique as the product streams differ, layouts and operation variables, to name a few. However, Turnaround management is the most used strategy in petrochemical industries. Equipment downtime remains the biggest challenge; thus, the purpose of the study was to optimize the maintenance practices used on the critical electromechanical equipment in Sasol Synfuels Catalyst Preparation. The data from the Systems Applications and Products (SAP) was collected for each of the 13 electromechanical equipment identified in the catalyst preparation unit from the period of January 2016 to June 2021. An analysis and identification of the critical equipment within the unit were obtained using two different methods, namely the JADERI and AFEFY critical analysis approaches. Both methods include using qualitative and quantitative methods to obtain the results. From the use of the results obtained using both JADERI and AFEFY, the equipment was ranked. According to the JADERI approach, all the equipment was classified as noncritical, yet the AFEFY method classified the Arc furnace and Ball Mill equipment as being the most critical equipment. It is then followed by Kiln, who is categorized as the second most critical. The casting machine and conveyor belts are classified under category C, which dictates that they are the least critical equipment.

Keywords
Criticality analysis, Criticality ranking, Electromechanical equipment, Maintenance optimization, Maintenance strategy.

References
[1] Islam H. Afefy, “Reliability-Centred Maintenance Methodology and Application: A Case Study,” Engineering, vol. 2, no. 11, pp. 864- 873, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[2] Aida Azizi, and Kiumars Fathi, “Selection of Optimum Maintenance Strategies Based on a Fuzzy Analytic Hierarchy Process,” Management Science Letters, vol. 4, no. 5, pp. 893-898, 2014.
[CrossRef] [Google Scholar] [Publisher Link]
[3] Maurizio Bevilacqua et al., “Development of Innovative Criticality Index for Turnaround Management in Oil Refinery,” International Journal of Productivity and Quality Management, vol. 9, no. 4, pp. 519-543, 2012.
[CrossRef] [Google Scholar] [Publisher Link]
[4] Naimeh Borjalilu, and Mahmoud Ghambari, “Optimal Maintenance Strategy Selection Based on a Fuzzy Analytical Network Process: A Case Study on 5-MW Powerhouse,” International Journal of Engineering Business Management, vol. 10, pp. 1-10, 2018.
[CrossRef] [Google Scholar] [Publisher Link]
[5] A Study on Energy Efficiency Index in Petrochemical Industry, Thailand: Department of Alternative Energy Development and Efficiency, Ministry of Energy, pp. 1-57, 2006. [Online]. Available: http://e-lib.dede.go.th/mm-data/bib11162.pdf
[6] Guidance Notes to the Pressure Equipment Regulations 17 July 2009, Occupation Health and Safety Act, 1993, Department of Labour, pp. 107-137, 2009. [Online]. Available: https://www.gov.za/sites/default/files/gcis_document/201503/38505gon167.pdf
[7] Ali Ebrahimi, “Effect Analysis of Reliability, Availability, Maintainability and Safety (RAMS) Parameters in Design and Operation of Dynamic Positioning (DP) Systems in Floating Offshore Structures,” Independent thesis Advanced level, Stockholm: KTH School of Industrial Engineering, pp. 1-91, 2010.
[Google Scholar] [Publisher Link]
[8] Gustav Fredriksson, and Hanna Larsson, “An Analysis of Maintenance Strategies and Development of a Model for Strategy Formulation - A Case Study,” Master of Science Thesis in the Master Degree Programme, Production Engineering, Sweden: Chalmers University of Technology, pp. 1-156, 2012.
[Google Scholar] [Publisher Link]
[9] Devarun Ghosh, and Sandip Roy, “A Decision-Making Framework for Process Plant Maintenance,” European Journal of Industrial Engineering, vol. 4, no. 1, pp. 78-98, 2010.
[CrossRef] [Google Scholar] [Publisher Link]
[10] International Atomic Energy Agency, Application of Reliability Centred Maintenance to Optimize Operation and Maintenance in Nuclear Power Plants, pp. 1-94, 2008. [Online]. Available: https://www.iaea.org/publications/7899/application-of-reliability-centred-maintenance-to-optimize-operation-and-maintenance-in-nuclear-power-plants
[11] Fereshteh Jaderi et al., “Criticality Analysis Using Risk Assessment-Based Maintenance of a Petrochemical Company,” Polish Journal of Environmental Studies, vol. 23, no. 6, pp. 2033-2037, 2014.
[Google Scholar] [Publisher Link]
[12] Fereshteh Jaderi, Zelina Z. Ibrahim, and Mohammad Reza Zahiri, “Criticality Analysis of Petrochemical Assets Using Risk Based Maintenance and the Fuzzy Inference System,” Process Safety and Environmental Protection, vol. 121, pp. 312-325, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[13] Mario Marcondes Machado, and Cecilia Haskins, “Maintenance Optimization Approaches for Condition Based Maintenance: A Review and Analysis,” INCOSE International Symposium, vol. 26, no. 1, pp. 445-460, 2016.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Wan Hasrulnizzam Wan Mahmood et al., “Maintenance Management System for Upstream Operations in Oil and Gas Industry: Case Study,” World Academy of Science, Engineering and Technology, vol. 3, no. 12, pp. 414-419, 2009.
[CrossRef] [Google Scholar] [Publisher Link]
[15] Thokozani Majozi, and Patrick Veldhuizen, “The Chemicals Industry in South Africa,” American Institute of Engineers, vol. 1, pp. 46- 51, 2015.
[Google Scholar] [Publisher Link]
[16] Manickam, and Louis Rex Arun, “Proposal for the Fourth Generation of Maintenance and Future Trends and Challenges in Production,” Independent thesis Advanced level, Sweden: Mälardalen University, pp. 1-76, 2012.
[Google Scholar] [Publisher Link]
[17] Mobius Institute, VCAT-I Vibration Analysis Course Materials, 2016. [Online]. Available: https://www.mobiusinstitute.com/product/course-materials-vibration-analysis-iso-category-i/
[18] SASOL, Operating Envelope Document, Secunda: Sasol Synfuels, 2012. [Online]. Available: https://www.sasol.com/innovation/gas-liquids/overview
[19] Mahmood Shafiee, and John Dalsgaard Sørensen, “Maintenance Optimization and Inspection Planning of Wind Energy Assets: Models, Methods, and Strategies,” Reliability Engineering and System Safety, vol. 192, pp. 1-19, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[20] M. Sondalini, Lifetime Reliability Solutions, 2018. [Online]. Available: https://lifetime-reliability.com/
[21] Jørn Vatn, Maintenance Optimisation, Trondheim: Norwegian University of Science and Technology, pp. 1-208, 2007. [Online]. Available:
https://folk.ntnu.no/jvatn/pdf/MaintenanceOptimisationWCM.pdf
[22] C.R. Vishnu, and V. Regikumar, “Reliability Based Maintenance Strategy Selection in Process Plants: A Case Study,” Procedia Technology, vol. 25, pp. 1080-1087, 2016.
[CrossRef] [Google Scholar] [Publisher Link]