A general modeling framework for the operational planning of petroleum supply chains

被引:178
作者
Neiro, SMS
Pinto, JM [1 ]
机构
[1] Univ Sao Paulo, Dept Chem Engn, BR-05508900 Sao Paulo, SP, Brazil
[2] Polytech Univ, Dept Chem & Chem Engn, Brooklyn, NY 11201 USA
关键词
petroleum complex; supply chain management; mixed-integer optimization;
D O I
10.1016/j.compchemeng.2003.09.018
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In the literature, optimization models deal with planning and scheduling of several subsystems of the petroleum supply chain such as oilfield infrastructure, crude oil Supply, refinery operations and product transportation. The focus of the present work is to propose a general framework for modeling petroleum supply chains. As a starting point, processing units are modeled based on the framework developed by Pinto et al. [Computers and Chemical Engineering 24 (2000) 2259]. Particular frameworks are then proposed to storage tanks and pipelines. Nodes of the chain are considered as grouped elementary entities that are interconnected by intermediate streams. The complex topology is then built by connecting the nodes representing refineries, terminals and pipeline networks. Decision variables include stream flow rates, properties, operational variables, inventory and facilities assignment. The resulting multiperiod model is a large-scale MINLP. The proposed model is applied to a real-world corporation and results show model performance by analyzing different scenarios. (C) 2003 Elsevier Ltd. All rights reserved.
引用
收藏
页码:871 / 896
页数:26
相关论文
共 45 条
[1]  
Barnes RJ, 2002, COMP AID CH, V10, P631
[2]   Supply chain design and analysis: Models and methods [J].
Beamon, BM .
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS, 1998, 55 (03) :281-294
[3]   Robust investment model for long-range capacity expansion of chemical processing networks under uncertain demand forecast scenarios [J].
Bok, JK ;
Lee, H ;
Park, S .
COMPUTERS & CHEMICAL ENGINEERING, 1998, 22 (7-8) :1037-1049
[4]   Supply chain optimization in continuous flexible process networks [J].
Bok, JK ;
Grossmann, IE ;
Park, S .
INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH, 2000, 39 (05) :1279-1290
[5]  
Brooke A., 1998, GAMS USERS GUIDE
[6]  
CHENG L, 2003, P 4 INT C FDN COMP A, P273
[7]   Planning logistics operations in the oil industry [J].
Dempster, MAH ;
Pedrón, NH ;
Medova, EA ;
Scott, JE ;
Sembos, A .
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY, 2000, 51 (11) :1271-1288
[8]  
Drud A. S., 1994, ORSA Journal on Computing, V6, P207, DOI 10.1287/ijoc.6.2.207
[9]   CORO, a modeling and an algorithmic framework for oil supply, transformation and distribution optimization under uncertainty [J].
Escudero, LF ;
Quintana, FJ ;
Salmerón, J .
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 1999, 114 (03) :638-656
[10]  
Feord D, 2002, COMP AID CH, V10, P661