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.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
An, D. M., Hou, B.K. and Hwang, K. S., “Automatic Synthesis of Operating procedures for Safe Emergency Operation,”HWAHAK KONGHAK,39, 30 (2001).
An, D. M. and Hwang, K. S., “A Study on the Expert System for Predicting Hazardous Conditions of Chemical Process,”HWAHAK KONGHAK,34, 727 (1996).
Anthony, B., David, K. and Alexander, M., “GAMS A USER’S GUIDE,” Boyd & Fraser Publishing Company, Massachusetts, USA (1992).
Bechtel Corp., PIMS User’s manual, ver.6.0, Houston, USA (1993).
Bonner and Moore Management Science, RPMS A system description, Houston, USA (1979).
Chae, H., Yoon, Y.H. and Yoon, E. S., “Safety Analysis Using an Expert System in Chemical Processes,”Korean J. Chem. Eng.,11, 153 (1994).
Choi, T.H. and Yoon, E. S., “An Expert System to Aid Blast Furnace Operation Using Artificial Neural Network Techniques,”HWAHAK KONGHAK,29, 270 (1991).
Gensym, G2 Reference Manual, version 4.0; Gensym Corp., USA (1995).
Hou, B. K., An, D. M. and Hwang, K. S., “An Expert System for Preventing Hazardous Conditions in Boiler Plants,”HWAHAK KONGHAK,34, 750 (1996).
King, M., ldAutomation of Oil Movement Systems Prevents Mistakes, Saves Money,”Oil & Gas J., 76 (1993).
Kim, C. J., Oh, J.K. and Yoon, E. S., “A Fault Diagnostic Expert System Using the Symptom Tree Model,”HWAHAK KONGHAK,28, 417 (1990).
Kim, Y. J. and Kang, S.K., “Prediction of Binary Azeotrope Formation in Hydrocarbon Mixtures Using a Knowledge-based Expert System,”Korean J. Chem. Eng.,12, 306 (1995).
Lee, H., Pinto, J.M., Grossmann, I. E. and Park, S., “MILP Model for Refinery Short Term Scheduling of Crude Oil Unloading with Inventory Management,”Ind. & Eng. Chem. Res.,35(5), 1630 (1996).
Lee, J.K., Kim, M.Y., Song, Y.W. and Yoon, H. S., ldUNIK-YUKONG: Refinery Scheduling Expert System,”KYOUNGYOUNG KWAKHAK, 121 (1992).
Lee, K.H., Yang, G., Jung, J.Y. and Lee, I. B., “Development of an Expert System for Functional Group Analysis in Group Contribution Method,”HWAHAK KONGHAK,31, 647 (1993).
Seward, S.M., Taylor, S. G. and Bolander, S. F., “Progress in Integrating and Optimizing Production Plans and Schedules,”Int. J. Prod. Res.,23(3), 609 (1985).
Shah, N., “Mathematical Programming Techniques for Crude Oil Scheduling,”Com. Chem. Eng.,20, S1227 (1996).
Song, J. and Park, S., “Intellite3: A Knowledge Based Expert System for Control Structure Synthesis,”Korean J. Chem. Eng.,7, 198 (1990).
Yoo, C.K., Kim, D. S., Cho, J.H., Choi, S.W. and Lee, I. B., “Process System Engineering in Wastewater Treatment Process,”Korean J. Chem. Eng.,18, 408 (2001).
Yoon, B. S., Oh, J. K. and Yoon, E. S., “Knowledge Base Representation for the Fault Diagnostic Expert System Using the Fault-Consequence Digraph,”HWAHAK KONGHAK,29, 19 (1991).
Author information
Authors and Affiliations
Corresponding author
Additional information
This paper is dedicated to Professor Wha Young Lee on the occasion of his retirement from Seoul National University.
Rights and permissions
About this article
Cite this article
Bok, JK., Lee, H., Chang, J.W. et al. Development of refinery scheduling system using mixed integer programming and expert system. Korean J. Chem. Eng. 19, 545–551 (2002). https://doi.org/10.1007/BF02699293
Received:
Accepted:
Issue Date:
DOI: https://doi.org/10.1007/BF02699293