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

Carlos Henrique Mariano () and Carlo Alessandro Zanetti Pece
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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

A chapter in Applied Simulation and Optimization, 2015, pp 39-73 from Springer

Abstract: 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.

Keywords: Exogenous Variable; Nondominated Solution; Currency Unit; Operational Scenario; Redundancy Level (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-15033-8_2

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DOI: 10.1007/978-3-319-15033-8_2

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