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This paper deals with an approach to design a Safety Instrumented System with the aim of reducing design costs under availability constraints. The design involves the determination of the Safety Instrumented Systems (SIS) structure and the allocation of equipment availability and redundancy based on Components off-the-shelf. The SIS structure is interpreted as a p-graph and handled as a Kaufmann reliability network. The optimization approach is genetic method applied to several design problems of increasing complexity.
availability allocation; redundancy allocation; Kaufmann reliability networks; safety instrumented systems (SIS); COTS based design
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