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In relation to this article, we declare that there is no conflict of interest.
Publication history
Received January 22, 2002
Accepted March 8, 2002
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Development of Refinery Scheduling System Using Mixed Integer Programming and Expert System

Samsung SDS Co., Ltd., 707-19 Yeoksam-dong, Gangnam-gu, Seoul 135-918, Korea 1Technoleaders Co., Ltd., KAIST, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea 2SK Engineering & Construction Co., Ltd., 192-18 Gwanhun-dong, Jongno-gu, Seoul 110-300, Korea 3Department of Chemical and Biomolecular Engineering, KAIST, 373-1 Guseong-dong, Yuseong-gu, Daejeon 305-701, Korea
swpark@mail.kaist.ac.kr
Korean Journal of Chemical Engineering, July 2002, 19(4), 545-551(7), 10.1007/BF02699293
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Abstract

This paper presents a hybrid refinery scheduling system combining mathematical programming model and expert system. Mixed-integer linear programming models for crude oil movement between units are merged into the expert system that is for qualitative issues concerning crude vessel unloading operations. The target problem ranging from the crude unloading to the crude charging to distillation towers is decomposed into several module problems for efficiency. Compared with existing scheduling approaches for oil movement, the proposed hybrid refinery scheduling system is very effective in dealing with timing decisions involving vessel unloading operations due to the advantages of an expert system. Since the proposed scheduling system can generate solutions so fast, it is expected to play a key role in the real processes.

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