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Simulation Optimization Approach to Solve a Complex Multi-objective Redundancy Allocation Problem

In: Applied Simulation and Optimization

Author

Listed:
  • Carlos Henrique Mariano

    (Federal Technological University of Paraná - UTFPR, Department of Electrical Engineering - DAELT)

  • Carlo Alessandro Zanetti Pece

    (Federal Technological University of Paraná - UTFPR, Department of Electrical Engineering - DAELT - Postgraduate Program in Biomedical Engineering)

Abstract

This chapter addresses the problem of redundancy and reliability allocation in the operational dimensioning of an automated production system. The aim of this research is to improve the global reliability of the system by allocating alternative components (redundancies) that are associated in parallel with each original component. By considering a complex componential approach that simultaneously evaluates the interrelations among subsystems, conflicting goals, and variables of different natures, a solution for the problem is proposed through a multi-objective formulation that joins a multi-objective elitist genetic algorithm with a high-level simulation environment also known as simulation optimization (SIMO) framework.

Suggested Citation

  • Carlos Henrique Mariano & Carlo Alessandro Zanetti Pece, 2015. "Simulation Optimization Approach to Solve a Complex Multi-objective Redundancy Allocation Problem," Springer Books, in: Miguel Mujica Mota & Idalia Flores De La Mota & Daniel Guimarans Serrano (ed.), Applied Simulation and Optimization, edition 127, pages 39-73, Springer.
    • Handle: RePEc:spr:sprchp:978-3-319-15033-8_2
    DOI: 10.1007/978-3-319-15033-8_2
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