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Multi-objective optimization of safety instrumented systems maintenance strategy: a case study

Hafed Touahar (LRPI Laboratory, Safety Department, Health and Occupational Safety Institute, University of Batna-2, Batna, Algeria)
Nouara Ouazraoui (LRPI Laboratory, Safety Department, Health and Occupational Safety Institute, University of Batna-2, Batna, Algeria)
Nor El Houda Khanfri (LRPI Laboratory, Safety Department, Health and Occupational Safety Institute, University of Batna-2, Batna, Algeria)
Mourad Korichi (Process Engineering Department, Kasdi Merbah Ouargla University, Ouargla, Algeria)
Bilal Bachi (Industrial Security, Health and Occupational Safety Institute, University of Batna-2, Batna, Algeria)
Houcem Eddine Boukrouma (Department of Petrochemistry and Process Engineering, University of Skikda, Skikda, Algeria)

International Journal of Quality & Reliability Management

ISSN: 0265-671X

Article publication date: 25 January 2021

Issue publication date: 30 July 2021

195

Abstract

Purpose

The main objective of safety instrumented systems (SISs) is to maintain a safe condition of a facility if hazardous events occur. However, in some cases, SIS's can be activated prematurely, these activations are characterized in terms of frequency by a Spurious Trip Rate (STR) and their occurrence leads to significant technical, economic and even environmental losses. This work aims to propose an approach to optimize the performances of the SIS by a multi-objective genetic algorithm. The optimization of SIS performances is performed using the multi-objective genetic algorithm by minimizing their probability of failure on demand PFDavg, Spurious Trip Rate (STR) and Life Cycle Costs (LCCavg). A set of constraints related to maintenance costs have been established. These constraints imply specific maintenance strategies which improve the SIS performances and minimize the technical, economic and environmental risks related to spurious shutdowns. Validation of such an approach is applied to an Emergency Shutdown (ESD) of the blower section of an industrial facility (RGTE- In Amenas).

Design/methodology/approach

The optimization of SIS performances is performed using the multi-objective genetic algorithm by minimizing their probability of failure on demand PFDavg, Spurious Trip Rate (STR) and Life Cycle Costs (LCCavg). A set of constraints related to maintenance costs have been established. These constraints imply specific maintenance strategies which improve the SIS performances and minimize the technical, economic and environmental risks related to spurious shutdowns. Validation of such an approach is applied to an Emergency Shutdown (ESD) of the blower section of an industrial facility (RGTE- In Amenas).

Findings

A case study concerning a safety instrumented system implemented in the RGTE facility has shown the great applicability of the proposed approach and the results are encouraging. The results show that the selection of a good maintenance strategy allows a very significant minimization of the PFDavg, the frequency of spurious trips and Life Cycle Costs of SIS.

Originality/value

The maintenance strategy defined by the system designer can be modified and improved during the operational phase, in particular safety systems. It constitutes one of the least expensive investment strategies for improving SIS performances. It has allowed a considerable minimization of the SIS life cycle costs; PFDavg and the frequency of spurious trips.

Keywords

Citation

Touahar, H., Ouazraoui, N., Khanfri, N.E.H., Korichi, M., Bachi, B. and Boukrouma, H.E. (2021), "Multi-objective optimization of safety instrumented systems maintenance strategy: a case study", International Journal of Quality & Reliability Management, Vol. 38 No. 8, pp. 1792-1815. https://doi.org/10.1108/IJQRM-03-2020-0076

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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