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Risk Reduction Optimization of Process Systems under Cost Constraint Applying Instrumented Safety Measures

Faculty of Software Engineering and Computer Technigue, ITMO University, 197101 Saint-Petersburg, Russia
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This paper is an extended version of our report: Moshnikov A. “Process safety instrument system optimization by Monte-Carlo method” in the Majorov International Conference on Software Engineering and Computer Systems (MICSECS 2019), Saint-Petersburg, Russia, 12–13 December 2019.
Computers 2020, 9(2), 50; https://doi.org/10.3390/computers9020050
Received: 12 May 2020 / Revised: 12 June 2020 / Accepted: 16 June 2020 / Published: 19 June 2020
(This article belongs to the Special Issue Selected Papers from MICSECS 2019)
This article is devoted to an approach to develop a safety system process according to functional safety standards. With the development of technologies and increasing the specific energy stored in the equipment, the issue of safety during operation becomes more urgent. Adequacy of the decisions on safety measures made during the early stages of planning the facilities and processes contributes to avoiding technological incidents and corresponding losses. A risk-based approach to safety system design is proposed. The approach is based on a methodology for determining and assessing risks and then developing the necessary set of safety measures to ensure that the specified safety indicators are achieved. The classification of safety measures is given, and the model of risk reduction based on deterministic analysis of the process is considered. It is shown that the task of changing the composition of safety measures can be represented as the knapsack discrete optimization problem, and the solution is based on the Monte Carlo method. A numerical example is provided to illustrate the approach. The considered example contains a description of failure conditions, an analysis of the types and consequences of failures that could lead to accidents, and a list of safety measures. Solving the optimization problem used real reliability parameters and the cost of equipment. Based on the simulation results, the optimal composition of the safety measures providing cost minimization is given. This research is relevant to engineering departments, who specialize in planning and designing technological solutions. View Full-Text
Keywords: risk reduction; safety instrumental systems; discrete optimization; system design; Monte-Carlo method; system reliability risk reduction; safety instrumental systems; discrete optimization; system design; Monte-Carlo method; system reliability
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Moshnikov, A.; Bogatyrev, V. Risk Reduction Optimization of Process Systems under Cost Constraint Applying Instrumented Safety Measures. Computers 2020, 9, 50.

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