Xiaoyong Gao, Dexian Huang, Yongheng Jiang, 等. A decision tree based decomposition method for oil refinery scheduling[J]. 中国化学工程学报(英文版), 2018,26(8):1605-1612.
Xiaoyong Gao, Dexian Huang, Yongheng Jiang, Tao Chen. A decision tree based decomposition method for oil refinery scheduling[J]. Chin.J.Chem.Eng., 2018, 26(8): 1605-1612.
Xiaoyong Gao, Dexian Huang, Yongheng Jiang, 等. A decision tree based decomposition method for oil refinery scheduling[J]. 中国化学工程学报(英文版), 2018,26(8):1605-1612.DOI: 10.1016/j.cjche.2017.10.006.
Xiaoyong Gao, Dexian Huang, Yongheng Jiang, Tao Chen. A decision tree based decomposition method for oil refinery scheduling[J]. Chin.J.Chem.Eng., 2018, 26(8): 1605-1612.DOI: 10.1016/j.cjche.2017.10.006.
A decision tree based decomposition method for oil refinery scheduling
Refinery scheduling attracts increasing concerns in both academic and industrial communities in recent years. However
due to the complexity of refinery processes
little has been reported for success use in real world refineries. In academic studies
refinery scheduling is usually treated as an integrated
large-scale optimization problem
though such complex optimization problems are extremely difficult to solve. In this paper
we proposed a way to exploit the prior knowledge existing in refineries
and developed a decision making system to guide the scheduling process. For a real world fuel oil oriented refinery
ten adjusting process scales are predetermined. A C4.5 decision tree works based on the finished oil demand plan to classify the corresponding category (i.e. adjusting scale). Then
a specific sub-scheduling problem with respect to the determined adjusting scale is solved. The proposed strategy is demonstrated with a scheduling case originated from a real world refinery.
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