Simultaneous production and distribution of industrial gas supply-chains
Identifieur interne : 000314 ( France/Analysis ); précédent : 000313; suivant : 000315Simultaneous production and distribution of industrial gas supply-chains
Auteurs : Pablo A. Marchetti [États-Unis] ; Vijay Gupta [États-Unis] ; Ignacio E. Grossmann [États-Unis] ; Lauren Cook [États-Unis] ; Pierre-Marie Valton [France] ; Tejinder Singh [États-Unis] ; TONG LI [États-Unis] ; Jean Andre [France]Source :
- Computers & chemical engineering [ 0098-1354 ] ; 2014.
Descripteurs français
- Pascal (Inist)
- Production industrielle, Logistique, Périodique, Programmation linéaire, Planification optimale, Stratégie entreprise, Coût production, Coût distribution, Produit liquide, Sous produit, Production multiple, Dépôt multiple, Problème tournée véhicule, Taux production, Décision multiple, Productivité, Camion, Paramètre critique, Gestion production, Ensemble ordonné, Offre et demande, Programmation partiellement en nombres entiers, Optimisation, Planification production, Gestion stock, Consommation énergie, ..
- Wicri :
- topic : Production industrielle, Productivité, Offre et demande.
English descriptors
- KwdEn :
- By product, Critical parameter, Distribution cost, Energy consumption, Firm strategy, Industrial production, Inventory control, Linear programming, Liquid product, Logistics, Lorry, Mixed integer programming, Multiple decision, Multiple depot, Multiple production, Optimal planning, Optimization, Ordered set, Periodical, Production cost, Production management, Production planning, Production rate, Productivity, Supply demand balance, Vehicle routing problem.
Abstract
In this paper, we propose a multi-period mixed-integer linear programming model for optimal enterprise-level planning of industrial gas operations. The objective is to minimize the total cost of production and distribution of liquid products by coordinating production decisions at multiple plants and distribution decisions at multiple depots. Production decisions include production modes and rates that determine power consumption. Distribution decisions involve source, destination, quantity, route, and time of each truck delivery. The selection of routes is a critical factor of the distribution cost. The main goal of this contribution is to assess the benefits of optimal coordination of production and distribution. The proposed methodology has been tested on small, medium, and large size examples. The results show that significant benefits can be obtained with higher coordination among plants/depots in order to fulfill a common set of shared customer demands. The application to real industrial size test cases is also discussed.
Affiliations:
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Pascal:15-0025193Le document en format XML
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<term>Firm strategy</term>
<term>Industrial production</term>
<term>Inventory control</term>
<term>Linear programming</term>
<term>Liquid product</term>
<term>Logistics</term>
<term>Lorry</term>
<term>Mixed integer programming</term>
<term>Multiple decision</term>
<term>Multiple depot</term>
<term>Multiple production</term>
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<term>Production cost</term>
<term>Production management</term>
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<term>Coût production</term>
<term>Coût distribution</term>
<term>Produit liquide</term>
<term>Sous produit</term>
<term>Production multiple</term>
<term>Dépôt multiple</term>
<term>Problème tournée véhicule</term>
<term>Taux production</term>
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<front><div type="abstract" xml:lang="en">In this paper, we propose a multi-period mixed-integer linear programming model for optimal enterprise-level planning of industrial gas operations. The objective is to minimize the total cost of production and distribution of liquid products by coordinating production decisions at multiple plants and distribution decisions at multiple depots. Production decisions include production modes and rates that determine power consumption. Distribution decisions involve source, destination, quantity, route, and time of each truck delivery. The selection of routes is a critical factor of the distribution cost. The main goal of this contribution is to assess the benefits of optimal coordination of production and distribution. The proposed methodology has been tested on small, medium, and large size examples. The results show that significant benefits can be obtained with higher coordination among plants/depots in order to fulfill a common set of shared customer demands. The application to real industrial size test cases is also discussed.</div>
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<name sortKey="Singh, Tejinder" sort="Singh, Tejinder" uniqKey="Singh T" first="Tejinder" last="Singh">Tejinder Singh</name>
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