Documents disponibles écrits par cet auteur

Flexible scheduling of crude oil inventory management / Sourabh Gupta in Industrial & engineering chemistry research, Vol. 49 N° 3 (Fevrier 2010)

Public ISBD [article]  in Industrial & engineering chemistry research > Vol. 49 N° 3 (Fevrier 2010) . - pp. 1325–1332 Titre : Flexible scheduling of crude oil inventory management Type de document : texte imprimé Auteurs : Sourabh Gupta, Auteur ; Nan Zhang, Auteur Année de publication : 2010 Article en page(s) : pp. 1325–1332 Note générale : Industrial Chemistry Langues : Anglais (eng) Mots-clés : Flexible--Scheduling--Crude--Oil--Inventory--Management Résumé : This work presents a novel approach for crude oil inventory management of a refinery. Considered problems involve the uncertainty in the crude oil availability, its transfer to storage tanks and charging schedule for each crude oil mixture to crude distillation units. In this paper a solution algorithm is used that iteratively solves two mixed-integer linear programming models and a nonlinear programming model. The proposed model incorporates the uncertainty issue in the availability of crude oil and an improved discrete-time-based formulation is developed to provide good quality solutions and also saves the computational efforts. An algorithm is proposed to provide a solution space instead of a single point solution that may help to minimize the loss due to late or early arrival of vessels. A case study is carried out to demonstrate the effectiveness of the developed algorithms. ISSN : 0888-5885 [article] Flexible scheduling of crude oil inventory management [texte imprimé] / Sourabh Gupta, Auteur ; Nan Zhang, Auteur . - 2010 . - pp. 1325–1332. Industrial Chemistry Langues : Anglais (eng) in Industrial & engineering chemistry research > Vol. 49 N° 3 (Fevrier 2010) . - pp. 1325–1332 Mots-clés : Flexible--Scheduling--Crude--Oil--Inventory--Management Résumé : This work presents a novel approach for crude oil inventory management of a refinery. Considered problems involve the uncertainty in the crude oil availability, its transfer to storage tanks and charging schedule for each crude oil mixture to crude distillation units. In this paper a solution algorithm is used that iteratively solves two mixed-integer linear programming models and a nonlinear programming model. The proposed model incorporates the uncertainty issue in the availability of crude oil and an improved discrete-time-based formulation is developed to provide good quality solutions and also saves the computational efforts. An algorithm is proposed to provide a solution space instead of a single point solution that may help to minimize the loss due to late or early arrival of vessels. A case study is carried out to demonstrate the effectiveness of the developed algorithms. ISSN : 0888-5885