文献类型：期刊文献

英文题名：Chance constrained programming with fuzzy parameters for refinery crude oil scheduling problem

作者：Cao, Cuiwen[1]; Gu, Xingsheng[1]

机构：[1] Research Institute of Automation, East China University of Science and Technology, 130 Meilong Road, 200237, Shanghai, China

年份：2006

卷号：4223 LNAI

起止页码：1010

外文期刊名：Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

收录：EI(收录号：20064510224270)

语种：英文

外文关键词：Fuzzy sets - Integer programming - Linear programming - Nonlinear programming - Parameter estimation - Petroleum refining - Scheduling

摘要：The main objective of this work is to put forward a chance constrained mixed-integer nonlinear fuzzy programming model for refinery short-term crude oil scheduling problem under demands uncertainty of distillation units. The model studied has characteristics of discrete events and continuous events coexistence, multistage, multiproduct, uncertainty and large scale. Firstly, the model is transformed into its equivalent fuzzy mixed-integer linear programming model by using the method of Quesada & Grossmann [5]. Then the fuzzy equivalent model is changed into its crisp MILP model relies on the theory presented by Liu & Iwamura [12] for the first time in this area. Finally, the crisp MILP model is solved in LINGO 8.0 based on time discretization. A case study which has 265 continuous variables, 68 binary variables and 318 constraints is effectively solved with the proposed solution approach. ? Springer-Verlag Berlin Heidelberg 2006.