"The paper presents a computer-aided methodology for economic optimization of industrial plants safety.. The method is based on the minimization of total safety-related cost including investment, operating. expenses of adopted safety measures, and expected monetary loss from accidents. The objective function. minimization is pursued resorting to a genetic algorithm which selects the best mix of safety measures. able to attain the optimal risk level at minimum cost by factoring in the cost and risk reduction potential. of each candidate safety measure. After a detailed description of the optimization approach the paper. discusses two numerical examples showing the method application to both easy and complex decision. making scenarios."

Economic optimization of industrial safety measures using genetic algorithms

PELAGAGGE, Pacifico;PALUMBO, MARIO
2011

Abstract

"The paper presents a computer-aided methodology for economic optimization of industrial plants safety.. The method is based on the minimization of total safety-related cost including investment, operating. expenses of adopted safety measures, and expected monetary loss from accidents. The objective function. minimization is pursued resorting to a genetic algorithm which selects the best mix of safety measures. able to attain the optimal risk level at minimum cost by factoring in the cost and risk reduction potential. of each candidate safety measure. After a detailed description of the optimization approach the paper. discusses two numerical examples showing the method application to both easy and complex decision. making scenarios."
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11697/88700
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