Result: Model to study the effect of workforce on a safety equipment and its optimization

Title:
Model to study the effect of workforce on a safety equipment and its optimization
Authors:
CARLOS, S, SANCHEZ, A, MARTORELL, S
Source:
Mathematical Models of Addictive Behaviour, Medicine & EngineeringMathematical and computer modelling. 54(7-8):1808-1812
Publisher Information:
Kidlington: Elsevier, 2011.
Publication Year:
2011
Physical Description:
print, 13 ref
Original Material:
INIST-CNRS
Subject Terms:
Computer science, Informatique, Mathematics, Mathématiques, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Mathematiques, Mathematics, Analyse mathématique, Mathematical analysis, Calcul des variations et contrôle optimal, Calculus of variations and optimal control, Analyse numérique. Calcul scientifique, Numerical analysis. Scientific computation, Analyse numérique, Numerical analysis, Méthodes numériques en programmation mathématique, optimisation et calcul variationnel, Numerical methods in mathematical programming, optimization and calculus of variations, Optimisation et calcul variationnel numériques, Numerical methods in optimization and calculus of variations, Méthodes de calcul scientifique (y compris calcul symbolique, calcul algébrique), Methods of scientific computing (including symbolic computation, algebraic computation), Analyse assistée, Computer aided analysis, Análisis asistido, Analyse numérique, Numerical analysis, Análisis numérico, Calcul variationnel, Variational calculus, Cálculo de variaciones, Fiabilité, Reliability, Fiabilidad, Implémentation, Implementation, Implementación, Mathématiques appliquées, Applied mathematics, Matemáticas aplicadas, Modèle mathématique, Mathematical model, Modelo matemático, Méthode optimisation, Optimization method, Método optimización, Programmation mathématique, Mathematical programming, Programación matemática, Programmation stochastique, Stochastic programming, Programación estocástica, 49XX, 65K10, 65Kxx, Availability, Maintainability, Particle Swarm Optimization
Document Type:
Academic journal Article
File Description:
text
Language:
English
Author Affiliations:
Departamento de Ingeniería Quimica y Nuclear, Universidad Politécnica de Valencia, Camino de Vera, 14. 46022 Valencia, Spain
Departamento de Estadistica e Investigación Operativa Aplicadas y Calidad, Universidad Politécnica de Valencia. Camino de Vera, 14. 46022 Valencia, Spain
ISSN:
0895-7177
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=24493212
Rights:
Copyright 2015 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Mathematics
Accession Number:
edscal.24493212
Database:
PASCAL Archive

Further Information

Many industrial sectors are concerned on developing optimal maintenance planning because of the importance of maintenance on the economy and safety. Traditionally, the maintenance planning is formulated in terms of a multi-objective optimization problem where reliability, availability, maintainability and cost act as decision criteria and surveillance tests and maintenance strategies act as decision variables. However, the appropriate development of each maintenance strategy depends not only on the maintenance intervals but also on the resources available to implement such strategies. To solve the multi-objective optimization problem Particle Swarm Optimization (PSO) can be used. PSO is a stochastic global optimization technique inspired by social behavior of bird flocking or fish schooling. In this paper the multi-objective optimization of the maintenance of a nuclear power plant safety equipment using PSO is presented.