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Multicriteria Optimization for System Configuration Using Monte Carlo Simulation and RAM Analysis

[+] Author Affiliations
Adriana Miralles Schleder, Paula Cyrineu Araujo, Marcelo Ramos Martins

University of São Paulo, São Paulo, Brazil

Paper No. OMAE2016-54274, pp. V003T02A068; 7 pages
  • ASME 2016 35th International Conference on Ocean, Offshore and Arctic Engineering
  • Volume 3: Structures, Safety and Reliability
  • Busan, South Korea, June 19–24, 2016
  • Conference Sponsors: Ocean, Offshore and Arctic Engineering Division
  • ISBN: 978-0-7918-4994-1
  • Copyright © 2016 by ASME


Currently, engineers should to deal with conflicting objectives, especially concerning safety and economics constraints. It is necessary to take into account performance indicators like reliability and availability coupled with economic criteria such as the costs of acquisition, maintenance and plant downtime. This paper aims at bringing up a rational process of selecting the optimal configuration of the system in the preliminary design phase considering these conflicting indicators.

Here, it is proposed a coupled approach using Monte Carlo Simulation and Genetic Algorithms to define the system configuration and the time interval between preventive maintenances in order to maximize the availability and the expected profit with the system operation considering possible constraints about the number of maintenance teams.

The approach proposed in this paper has shown to be promising for solving complex system design related to realistic scenarios in which conflicting performance and economic objectives must be taken into account.

Copyright © 2016 by ASME



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