An Approximation Solution to Refinery Crude Oil Scheduling Problem with Demand Uncertainty Using Joint Constrained Programming

This paper is devoted to develop an approximation method for scheduling refinery crude oil operations by taking into consideration the demand uncertainty. In the stochastic model the demand uncertainty is modeled as random variables which follow a joint multivariate distribution with a specific corr...

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Detalles Bibliográficos
Autores principales: Duan, Qianqian, Yang, Genke, Xu, Guanglin, Pan, Changchun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976839/
https://www.ncbi.nlm.nih.gov/pubmed/24757433
http://dx.doi.org/10.1155/2014/730314

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3976839/
https://www.ncbi.nlm.nih.gov/pubmed/24757433
http://dx.doi.org/10.1155/2014/730314

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