An Approximation Solution to Refinery Crude Oil Scheduling Problem with Demand Uncertainty Using Joint Constrained Programming
المؤلفون المشاركون
Duan, Qianqian
Yang, Genke
Xu, Guanglin
Pan, Changchun
المصدر
العدد
المجلد 2014، العدد 2014 (31 ديسمبر/كانون الأول 2014)، ص ص. 1-13، 13ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2014-03-16
دولة النشر
مصر
عدد الصفحات
13
التخصصات الرئيسية
الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب
الملخص EN
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 correlation structure.
Compared to deterministic models in existing works, the stochastic model can be more practical for optimizing crude oil operations.
Using joint chance constraints, the demand uncertainty is treated by specifying proximity level on the satisfaction of product demands.
However, the joint chance constraints usually hold strong nonlinearity and consequently, it is still hard to handle it directly.
In this paper, an approximation method combines a relax-and-tight technique to approximately transform the joint chance constraints to a serial of parameterized linear constraints so that the complicated problem can be attacked iteratively.
The basic idea behind this approach is to approximate, as much as possible, nonlinear constraints by a lot of easily handled linear constraints which will lead to a well balance between the problem complexity and tractability.
Case studies are conducted to demonstrate the proposed methods.
Results show that the operation cost can be reduced effectively compared with the case without considering the demand correlation.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Duan, Qianqian& Yang, Genke& Xu, Guanglin& Pan, Changchun. 2014. An Approximation Solution to Refinery Crude Oil Scheduling Problem with Demand Uncertainty Using Joint Constrained Programming. The Scientific World Journal،Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050810
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Duan, Qianqian…[et al.]. An Approximation Solution to Refinery Crude Oil Scheduling Problem with Demand Uncertainty Using Joint Constrained Programming. The Scientific World Journal No. 2014 (2014), pp.1-13.
https://search.emarefa.net/detail/BIM-1050810
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Duan, Qianqian& Yang, Genke& Xu, Guanglin& Pan, Changchun. An Approximation Solution to Refinery Crude Oil Scheduling Problem with Demand Uncertainty Using Joint Constrained Programming. The Scientific World Journal. 2014. Vol. 2014, no. 2014, pp.1-13.
https://search.emarefa.net/detail/BIM-1050810
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1050810
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
تقوم هذه الخدمة بالتحقق من التشابه أو الانتحال في الأبحاث والمقالات العلمية والأطروحات الجامعية والكتب والأبحاث باللغة العربية، وتحديد درجة التشابه أو أصالة الأعمال البحثية وحماية ملكيتها الفكرية. تعرف اكثر