Cost Effective Analysis of the Design of Safety Instrumented Systems Using Manta-Ray Foraging Optimization Algorithm
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Date
2023-12-25
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International Journal of Safety and Security Engineering Vol. 13, No. 6, December, 2023, pp. 975-986
Abstract
This study aims to develop a new cost effectiveness analysis framework in the context of
safety instrumented systems (SIS) design and operation. The primary objective is to
achieve an optimal equilibrium among safety integrity, operational integrity, and lifecycle
cost of SIS. It is essential to note that these objectives may often be in conflict; for
instance, enhancing safety integrity could potentially diminish operational integrity and
escalate costs. Achieving this balance is crucial to ensure that the risk level being
addressed aligns precisely with the desired objectives while minimizing any adverse
effects. The novelty of this paper lies in the refined formulation of a multi-objective
optimization problem and the application of a recently developed swarm-based MantaRay Foraging Optimization (MRFO) algorithm. The effectiveness of this approach is
demonstrated through a typical SIS design challenge, which entails satisfying specific
measures in terms of Safety Integrity Level (SIL), spurious trip activation rate, and
lifecycle cost. These measures depend on variables such as the number and voting scheme
of components, their types, and the intervals for potential proof tests. For validation and
comparison, the problem was initially tackled using a conventional approach based on
genetic algorithms. Subsequently, the MRFO algorithm was employed, yielding highly
satisfactory results and confirming its proficiency in resolving real-world SIS
optimization challenges. Notably, the MRFO algorithm produced a greater number of
solutions compared to the genetic algorithm approach. This increase in solution options
is advantageous, offering decision-makers a broader array of choices for optimal system
design. This study contributes significantly to the field of SIS design, presenting an
innovative, algorithm-driven approach to balancing safety, operational integrity, and cost
in system development. It also contributes to understanding the life cycle costs of security
barriers in general.