PittsburghV1, Main, Exploration, bibRecord, 004F64

Scope for industrial applications of production scheduling models and solution methods

Identifieur interne : 004F64 ( Main/Exploration ); précédent : 004F63; suivant : 004F65

Scope for industrial applications of production scheduling models and solution methods

Auteurs : Iiro Harjunkoski [Allemagne] ; Christos T. Maravelias [États-Unis] ; Peter Bongers [Pays-Bas] ; Pedro M. Castro [Portugal] ; Sebastian Engell [Allemagne] ; Ignacio E. Grossmann [États-Unis] ; John Hooker [États-Unis] ; Carlos Mendez [Argentine] ; Guido Sand [Allemagne] ; John Wassick [États-Unis]

Source :

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

RBID : Pascal:14-0117507

Descripteurs français

Pascal (Inist)
- Production industrielle, Gestion production, Ordonnancement, Utilisabilité, Intégration, Modélisation, Optimisation, Classification, Commande processus, ..
Wicri :
- topic : Production industrielle, Classification.

English descriptors

KwdEn :
- Classification, Industrial production, Integration, Modeling, Optimization, Process control, Production management, Scheduling, Usability.

Abstract

This paper gives a review on existing scheduling methodologies developed for process industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling and discuss the main characteristics, including strengths and weaknesses of the presented approaches. It is claimed that optimization tools of today can effectively support the plant level production. However there is still clear potential for improvements, especially in transferring academic results into industry. For instance, usability, interfacing and integration are some aspects discussed in the paper. After the introduction and problem classification, the paper discusses some lessons learned from industry, provides an overview of models and methods and concludes with general guidelines and examples on the modeling and solution of industrial problems.

Affiliations:

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Le document en format XML

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<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Classification</term>
<term>Industrial production</term>
<term>Integration</term>
<term>Modeling</term>
<term>Optimization</term>
<term>Process control</term>
<term>Production management</term>
<term>Scheduling</term>
<term>Usability</term>
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<term>Modélisation</term>
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<front><div type="abstract" xml:lang="en">This paper gives a review on existing scheduling methodologies developed for process industries. Above all, the aim of the paper is to focus on the industrial aspects of scheduling and discuss the main characteristics, including strengths and weaknesses of the presented approaches. It is claimed that optimization tools of today can effectively support the plant level production. However there is still clear potential for improvements, especially in transferring academic results into industry. For instance, usability, interfacing and integration are some aspects discussed in the paper. After the introduction and problem classification, the paper discusses some lessons learned from industry, provides an overview of models and methods and concludes with general guidelines and examples on the modeling and solution of industrial problems.</div>
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<country name="États-Unis"><noRegion><name sortKey="Maravelias, Christos T" sort="Maravelias, Christos T" uniqKey="Maravelias C" first="Christos T." last="Maravelias">Christos T. Maravelias</name>
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<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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Scope for industrial applications of production scheduling models and solution methods

Scope for industrial applications of production scheduling models and solution methods

Source :

Descripteurs français

English descriptors

Abstract

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

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri