System Engineering and Productivity

System Engineering and Productivity

Establishing a Reliability-based Maintenance methodology in a Gas Pressure Reduction System

Authors
1 M.Sc., Department of Industrial Engineering, Faculty of Industrial Engineering, University Eyvanekey, Eyvanekey, Iran
2 Corresponding author: Associate Professor, Department of Industrial Engineering, Faculty of Engineering and Technology, Islamic Azad University, Semnan Branch, Semnan, Iran
Abstract
Although various maintenance and repair (M&R) methods, especially preventive M&R, are currently used in industries, reliability-based M&R is recognized as an effective method for selecting the correct M&R strategy, which, considering the failure modes of machinery and prioritizing them, suggests methods such as work-to-failure, decision-making to improve system design, condition-based M&R, time-based M&R, function-based M&R, and visits for troubleshooting purposes. As a result, unnecessary M&R activities are prevented, making the M&R process more effective and reducing operating costs. In this article, an attempt has been made to describe the M&R system and share initial experiences of implementing the system in Semnan Province Gas Distribution Company. The most critical equipment was selected for implementing the reliability-based M&R methodology based on the company's existing data records, and then, by identifying the functions, functional failures, failure modes and effects, the appropriate maintenance and repair activity was determined for each of the failure modes of the equipment in question. The results of this study showed that by reducing the number of unnecessary activities, less manpower and time are spent on M&R activities. Similarly, in the method used, much attention was paid to safety and environmental issues and an attempt was made to improve the safety situation and environmental pollution by implementing appropriate M&R activities.
Keywords

Copyright ©, Ziba Salehian, Ali Jahan

 

License

This article is released under the Creative Commons Attribution (CC BY 4.0) license. Anyone is free to copy, share, translate, and adapt this article for any purpose, whether commercial or non-commercial, as long as proper citation is given to the authors and original publication.

A. M Smith, & Hinchcliffe, G. R. (2004). RCM: Gateway to World Class Maintenance (1st ed.), . USA: Elsevier.
Arno, R., Dowling, N., Fairfax, S., Schuerger, R. J., & Weber, J. (2015). What Is RCM and How Could It Be Applied to the Critical Loads? IEEE Transactions on Industry Applications, 51(3), 2045-2053. doi: 10.1109/ tia.2014.2379951
F. De Carlo, & Arleo, M. A. (2013). Maintenance cost optimization in condition based maintenance: a case study for critical facilities. International Journal of Engineering and Technology, 50 .
Fischer, K., Besnard, F., & Bertling, L. (2012). Reliability-Centered Maintenance for Wind Turbines Based on Statistical Analysis and Practical Experience. IEEE Transactions on Energy Conversion, 27(1), 1-12 .
Igba, J., Alemzadeh, K 7.Anyanwu-Ebo, I., Gibbons, P., & Friis, J. (2013). A Systems Approach Towards Reliability-Centred Maintenance (RCM) of Wind Turbines. Procedia Computer Science, 16, 814-823. doi: https://doi.org/10.1016/j.procs.2013.01.085
J. Moubray. (1997). Reliability Centered Maintenance. Oxford: Elsevier.7 Jahan, A., Mustapha, F., Sapuan, S. M., Ismail, M. Y., & Bahraminasab, M. (2012). A framework for weighting of criteria in ranking stage of material selection process. The International Journal of Advanced Manufacturing Technology, 58, 411–420. doi: 10.1007/s00170-011-3366-7
Jiang, X., Duan, F., Tian, H., & Wei, X. (2015). Optimization of reliability centered predictive maintenance scheme for inertial navigation system. Reliability Engineering & System Safety, 140. 208-217 7doi: 10.1016/ j.ress. 2015.04.003
Levin, M. A., & Kalal, T. (2003). Improving Product Reliability: Strategies and Implementation. (1st ed)California: John Wiley & Sons Ltd. Macchi, Garetti, M., Centrone, D., Fumagalli, L., & Pavirani, G. P. (2012). Maintenance management of railway infrastructures based on reliability analysis. Reliability Engineering & System Safety, 104, 71-83 .
Selvik, J. T., & Aven, T. (2011). A framework for reliability and risk centered maintenance. Reliability Engineering & System Safety, 96(2), 324-331. doi: 10.1016/j.ress.2010.08.001
Yssaad, B., Khiat, M., & Chaker, A. (2014). Reliability centered maintenance optimization for power distribution systems. International Journal of Electrical Power & Energy Systems, 55, 108-115 .doi: 10.1016/j.ijepes. 2013.08.025.
Volume 1, Issue 1 - Serial Number 1
Serial No. 1, Winter Quarterly
Winter 2022
Pages 121-136

  • Receive Date 29 January 2022
  • Revise Date 07 February 2022
  • Accept Date 10 February 2022
  • First Publish Date 10 February 2022
  • Publish Date 20 February 2022