PittsburghV1, Main, Exploration, bibRecord, 005961

A mathematical programming model for optimal layout considering quantitative risk analysis

Identifieur interne : 005961 ( Main/Exploration ); précédent : 005960; suivant : 005962

A mathematical programming model for optimal layout considering quantitative risk analysis

Auteurs : Nancy Medina-Herrera [Mexique] ; Arturo Jimenez-Gutierrez [Mexique] ; Ignacio E. Grossmann [États-Unis]

Source :

Computers & chemical engineering [ 0098-1354 ] ; 2014.

RBID : Pascal:15-0024341

Descripteurs français

Pascal (Inist)
- Facteur sécurité, Usine chimique, Topologie, Problème localisation, Planning installation, Sécurité, Gestion risque, Modèle probit, Analyse régression, Problème agencement, Grille, Programmation mathématique, Modélisation, Analyse risque, Programmation partiellement en nombres entiers, Programmation non linéaire, Modèle non linéaire, Analyse quantitative, Etude cas, Localisation installation.
Wicri :
- topic : Analyse quantitative.

English descriptors

KwdEn :
- Case study, Chemical plant, Facility location, Grid, Layout problem, Location problem, Mathematical programming, Mixed integer programming, Modeling, Non linear model, Non linear programming, Plant layout, Probit model, Quantitative analysis, Regression analysis, Risk analysis, Risk management, Safety, Safety factor, Topology.

Abstract

Safety and performance are important factors in the design and operation of chemical plants. This paper describes the formulation of a mixed integer nonlinear programming model for the optimization of plant layout with safety considerations. The model considers a quantitative risk analysis to take safety into account, and a bowtie analysis is used to identify possible catastrophic outcomes. These effects are quantified through consequence analyses and probit models. The model allows the location of facilities at any available point, an advantage over grid-based models. Two case studies are solved to show the applicability of the proposed approach.

Affiliations:

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Le document en format XML

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<term>Non linear programming</term>
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<term>Probit model</term>
<term>Quantitative analysis</term>
<term>Regression analysis</term>
<term>Risk analysis</term>
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<term>Usine chimique</term>
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<term>Planning installation</term>
<term>Sécurité</term>
<term>Gestion risque</term>
<term>Modèle probit</term>
<term>Analyse régression</term>
<term>Problème agencement</term>
<term>Grille</term>
<term>Programmation mathématique</term>
<term>Modélisation</term>
<term>Analyse risque</term>
<term>Programmation partiellement en nombres entiers</term>
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<term>Modèle non linéaire</term>
<term>Analyse quantitative</term>
<term>Etude cas</term>
<term>Localisation installation</term>
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<keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Analyse quantitative</term>
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<front><div type="abstract" xml:lang="en">Safety and performance are important factors in the design and operation of chemical plants. This paper describes the formulation of a mixed integer nonlinear programming model for the optimization of plant layout with safety considerations. The model considers a quantitative risk analysis to take safety into account, and a bowtie analysis is used to identify possible catastrophic outcomes. These effects are quantified through consequence analyses and probit models. The model allows the location of facilities at any available point, an advantage over grid-based models. Two case studies are solved to show the applicability of the proposed approach.</div>
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<country name="États-Unis"><region name="Pennsylvanie"><name sortKey="Grossmann, Ignacio E" sort="Grossmann, Ignacio E" uniqKey="Grossmann I" first="Ignacio E." last="Grossmann">Ignacio E. Grossmann</name>
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A mathematical programming model for optimal layout considering quantitative risk analysis

A mathematical programming model for optimal layout considering quantitative risk analysis

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

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