Logical and generalized disjunctive programming for supplier and contract selection under provision uncertainty / Maria Analia Rodriguez in Industrial & engineering chemistry research, Vol. 48 N° 11 (Juin 2009)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 48 N° 11 (Juin 2009) . - pp. 5506–5521 Titre : Logical and generalized disjunctive programming for supplier and contract selection under provision uncertainty Type de document : texte imprimé Auteurs : Maria Analia Rodriguez, Auteur ; Aldo Vecchietti, Auteur Année de publication : 2009 Article en page(s) : pp. 5506–5521 Note générale : Chemical engineering Langues : Anglais (eng) Mots-clés : Supply-chain Uncertainty Résumé : Supply-chain optimization is a key issue in gainnig competitiveness in today’s economies where buyers and suppliers develop long-term relationships. Final agreements are formalized by signing contracts involving the purchasing of large amounts of materials, taking advantage of economies of scale. Although establishing agreements with suppliers is definitely an important step in reducing uncertainty, uncertainty never completely disappears. For that reason, the problem addressed in this article is the delivery and purchase optimization in a supply chain under provision uncertainty. Several decisions are presented in this problem that can naturally be posed in terms of of discrete decision models and generalized disjunctive programming. Uncertainty is modeled through a new approach that avoids the drawbacks of traditional methods. The goal pursued in this article is to contribute to better raw-material usage and tactical decisions to face an uncertain provision process in the supply chain. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801614x [article] Logical and generalized disjunctive programming for supplier and contract selection under provision uncertainty [texte imprimé] / Maria Analia Rodriguez, Auteur ; Aldo Vecchietti, Auteur . - 2009 . - pp. 5506–5521. Chemical engineering Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 48 N° 11 (Juin 2009) . - pp. 5506–5521 Mots-clés : Supply-chain Uncertainty Résumé : Supply-chain optimization is a key issue in gainnig competitiveness in today’s economies where buyers and suppliers develop long-term relationships. Final agreements are formalized by signing contracts involving the purchasing of large amounts of materials, taking advantage of economies of scale. Although establishing agreements with suppliers is definitely an important step in reducing uncertainty, uncertainty never completely disappears. For that reason, the problem addressed in this article is the delivery and purchase optimization in a supply chain under provision uncertainty. Several decisions are presented in this problem that can naturally be posed in terms of of discrete decision models and generalized disjunctive programming. Uncertainty is modeled through a new approach that avoids the drawbacks of traditional methods. The goal pursued in this article is to contribute to better raw-material usage and tactical decisions to face an uncertain provision process in the supply chain. En ligne : http://pubs.acs.org/doi/abs/10.1021/ie801614x

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Multicriteria optimization model for supply process problem under provision and demand uncertainty / Maria Analia Rodriguez in Industrial & engineering chemistry research, Vol. 50 N° 18 (Septembre 2011)  

Public ISBD [article]  inIndustrial & engineering chemistry research > Vol. 50 N° 18 (Septembre 2011) . - pp. 10630–10642 Titre : Multicriteria optimization model for supply process problem under provision and demand uncertainty Type de document : texte imprimé Auteurs : Maria Analia Rodriguez, Auteur ; Aldo Vecchietti, Auteur Année de publication : 2011 Article en page(s) : pp. 10630–10642 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Uncertainty Modeling Optimization Résumé : Supply processes play an important role in customer satisfaction and company costs. The main characteristics of this problem are given by several decisions that follow a hierarchical structure and a very uncertain context, conditioning the success of the solutions proposed. Two significant sources of uncertainty are considered in this work, namely, provision and demand, both modeled as exogenous variables with random behavior. An optimization model is formulated to reduce the effects of the uncertainty in the company supply process. Because of the problem complexity, a multicriteria model is required to bring a comprehensive solution. Several Pareto-optimal solutions are obtained through application of the ε-constraint technique. The original formulation is a nonconvex one that is then transformed to obtain a disjunctive linear model that guarantees a global result. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24523882 [article] Multicriteria optimization model for supply process problem under provision and demand uncertainty [texte imprimé] / Maria Analia Rodriguez, Auteur ; Aldo Vecchietti, Auteur . - 2011 . - pp. 10630–10642. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 50 N° 18 (Septembre 2011) . - pp. 10630–10642 Mots-clés : Uncertainty Modeling Optimization Résumé : Supply processes play an important role in customer satisfaction and company costs. The main characteristics of this problem are given by several decisions that follow a hierarchical structure and a very uncertain context, conditioning the success of the solutions proposed. Two significant sources of uncertainty are considered in this work, namely, provision and demand, both modeled as exogenous variables with random behavior. An optimization model is formulated to reduce the effects of the uncertainty in the company supply process. Because of the problem complexity, a multicriteria model is required to bring a comprehensive solution. Several Pareto-optimal solutions are obtained through application of the ε-constraint technique. The original formulation is a nonconvex one that is then transformed to obtain a disjunctive linear model that guarantees a global result. DEWEY : 660 ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=24523882

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