Documents disponibles écrits par cet auteur

Optimization of the petroleum product supply chain under uncertainty / Fabrício Oliveira in Industrial & engineering chemistry research, Vol. 51 N° 11 (Mars 2012) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 51 N° 11 (Mars 2012) . - pp. 4279-4287 Titre : Optimization of the petroleum product supply chain under uncertainty : A case study in northern brazil Type de document : texte imprimé Auteurs : Fabrício Oliveira, Auteur ; Silvio Hamacher, Auteur Année de publication : 2012 Article en page(s) : pp. 4279-4287 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Uncertainty  Petroleum  product  Optimization Résumé : This Article addresses the problem of optimizing the investment planning process of a logistics infrastructure for the distribution of petroleum products under uncertainty. For this purpose, a two-stage stochastic model was developed. Because of the large number of possible scenarios for the future realization of demands, the Sample Average Approximation (SAA) methodology was used to produce approximations of the optimal solution. The proposed model and solution methodology were applied to a real case study on the distribution of petroleum products in northern Brazil. The results show that the methodology allows us to obtain solutions that are relatively close to the real optimal solution of the problem with optimality gaps estimated at up to 1%, which are reasonable for most practical purposes. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25655637 [article] Optimization of the petroleum product supply chain under uncertainty : A case study in northern brazil [texte imprimé] / Fabrício Oliveira, Auteur ; Silvio Hamacher, Auteur . - 2012 . - pp. 4279-4287. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 51 N° 11 (Mars 2012) . - pp. 4279-4287 Mots-clés : Uncertainty  Petroleum  product  Optimization Résumé : This Article addresses the problem of optimizing the investment planning process of a logistics infrastructure for the distribution of petroleum products under uncertainty. For this purpose, a two-stage stochastic model was developed. Because of the large number of possible scenarios for the future realization of demands, the Sample Average Approximation (SAA) methodology was used to produce approximations of the optimal solution. The proposed model and solution methodology were applied to a real case study on the distribution of petroleum products in northern Brazil. The results show that the methodology allows us to obtain solutions that are relatively close to the real optimal solution of the problem with optimality gaps estimated at up to 1%, which are reasonable for most practical purposes. ISSN : 0888-5885 En ligne : http://cat.inist.fr/?aModele=afficheN&cpsidt=25655637

Risk management in the oil supply chain / Maria C. Carneiro in Industrial & engineering chemistry research, Vol. 49 N° 7 (Avril 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 7 (Avril 2010) . - pp. 3286–3294 Titre : Risk management in the oil supply chain : A CVaR approach Type de document : texte imprimé Auteurs : Maria C. Carneiro, Auteur ; Gabriela P. Ribas, Auteur ; Silvio Hamacher, Auteur Année de publication : 2010 Article en page(s) : pp. 3286–3294 Note générale : Industrial Chemistry Langues : Anglais (eng) Mots-clés : Risk  Management  the  Oil  Supply  Chain  CVaR Résumé : This study analyzes the strategic planning of an oil supply chain. To optimize this chain, a two-stage stochastic model with fixed recourse and incorporation of risk management was developed. The model took a scenario-based approach and addressed three sources of uncertainty. To deal with these uncertainties, the conditional value-at-risk (CVaR) was adopted as a risk measure, and then the model was applied to the supply chain of six oil refineries. The goal of the study was to maximize the expected net present value, E(NPV), of the supply chain under analysis. The results indicate that the optimization of the several scenarios yielded an E(NPV) variation that reached US$ 36 million. Such a significant difference demonstrates that taking uncertainties into consideration is a fundamental step in decision-making processes. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901265n [article] Risk management in the oil supply chain : A CVaR approach [texte imprimé] / Maria C. Carneiro, Auteur ; Gabriela P. Ribas, Auteur ; Silvio Hamacher, Auteur . - 2010 . - pp. 3286–3294. Industrial Chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 7 (Avril 2010) . - pp. 3286–3294 Mots-clés : Risk  Management  the  Oil  Supply  Chain  CVaR Résumé : This study analyzes the strategic planning of an oil supply chain. To optimize this chain, a two-stage stochastic model with fixed recourse and incorporation of risk management was developed. The model took a scenario-based approach and addressed three sources of uncertainty. To deal with these uncertainties, the conditional value-at-risk (CVaR) was adopted as a risk measure, and then the model was applied to the supply chain of six oil refineries. The goal of the study was to maximize the expected net present value, E(NPV), of the supply chain under analysis. The results indicate that the optimization of the several scenarios yielded an E(NPV) variation that reached US$ 36 million. Such a significant difference demonstrates that taking uncertainties into consideration is a fundamental step in decision-making processes. ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie901265n

Strategic planning of integrated multirefinery networks / Adriana Leiras in Industrial & engineering chemistry research, Vol. 49 N° 20 (Octobre 2010) 

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 20 (Octobre 2010) . - pp. 9970–9977 Titre : Strategic planning of integrated multirefinery networks : A robust optimization approach based on the degree of conservatism Type de document : texte imprimé Auteurs : Adriana Leiras, Auteur ; Ali Elkamel, Auteur ; Silvio Hamacher, Auteur Année de publication : 2011 Article en page(s) : pp. 9970–9977 Note générale : Chimie industrielle Langues : Anglais (eng) Mots-clés : Optimization Résumé : This paper considers the problem of strategic planning under uncertainty for optimal integration and coordination of a multirefinery network. The deterministic model proposed by Al-Qahtani and Elkamel [Comput. Chem. Eng. 2008, 32, 2189−202] was extended to account for uncertainties in raw material costs and final product prices, as well as product demand. The robust optimization methodology of Bertsimas and Sim [Op. Res. 2004, 52, 35−53] was applied, which deals with uncertainty in a tractable manner and does not add complexity to the deterministic problem. An industrial-scale study illustrated the benefits of the integrated planning and demonstrated that the modeling of uncertainty in process parameters provides a more practical perspective of the refining industry. In addition, probability bounds of constraint violation were calculated to help decision makers select appropriate parameters to control solution robustness and evaluate trade-offs between conservatism and total profit. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100919z [article] Strategic planning of integrated multirefinery networks : A robust optimization approach based on the degree of conservatism [texte imprimé] / Adriana Leiras, Auteur ; Ali Elkamel, Auteur ; Silvio Hamacher, Auteur . - 2011 . - pp. 9970–9977. Chimie industrielle Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 20 (Octobre 2010) . - pp. 9970–9977 Mots-clés : Optimization Résumé : This paper considers the problem of strategic planning under uncertainty for optimal integration and coordination of a multirefinery network. The deterministic model proposed by Al-Qahtani and Elkamel [Comput. Chem. Eng. 2008, 32, 2189−202] was extended to account for uncertainties in raw material costs and final product prices, as well as product demand. The robust optimization methodology of Bertsimas and Sim [Op. Res. 2004, 52, 35−53] was applied, which deals with uncertainty in a tractable manner and does not add complexity to the deterministic problem. An industrial-scale study illustrated the benefits of the integrated planning and demonstrated that the modeling of uncertainty in process parameters provides a more practical perspective of the refining industry. In addition, probability bounds of constraint violation were calculated to help decision makers select appropriate parameters to control solution robustness and evaluate trade-offs between conservatism and total profit. DEWEY : 660 ISSN : 0888-5885 En ligne : http://pubs.acs.org/doi/abs/10.1021/ie100919z