Modeling and Optimization for Short-term Scheduling of Multipurpose Batch Plants

陈国辉; 鄢烈祥; 史彬

doi:10.1016/S1004-9541(14)60085-9

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Modeling and Optimization for Short-term Scheduling of Multipurpose Batch Plants

催化、动力学与反应工程 | Updated：2026-01-06

- Modeling and Optimization for Short-term Scheduling of Multipurpose Batch Plants
- Modeling and Optimization for Short-term Scheduling of Multipurpose Batch Plants
- 中国化学工程学报（英文版） 2014年22卷第6期页码：682-6891004-954160085-9
- Affiliations：
  
  School of Chemical Engineering, Wuhan University of Technology,Wuhan,China,430070
- Author bio：
- Funds：
- DOI：10.1016/S1004-9541(14)60085-9
  中图分类号：
- 纸质出版：2014
- Accepted：
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陈国辉, 鄢烈祥, 史彬. Modeling and Optimization for Short-term Scheduling of Multipurpose Batch Plants[J]. 中国化学工程学报（英文版）, 2014,22(6):682-6891004-954160085-9.

CHEN Guohui, YAN Liexiang, SHI Bin . Modeling and Optimization for Short-term Scheduling of Multipurpose Batch Plants[J]. Chin.J.Chem.Eng., 2014, 22(6): 682-689.
陈国辉, 鄢烈祥, 史彬. Modeling and Optimization for Short-term Scheduling of Multipurpose Batch Plants[J]. 中国化学工程学报（英文版）, 2014,22(6):682-6891004-954160085-9. DOI： 10.1016/S1004-9541(14)60085-9.

CHEN Guohui, YAN Liexiang, SHI Bin . Modeling and Optimization for Short-term Scheduling of Multipurpose Batch Plants[J]. Chin.J.Chem.Eng., 2014, 22(6): 682-689. DOI： 10.1016/S1004-9541(14)60085-9.

摘要

Abstract

In the past two decades

short-term scheduling of multipurpose batch plants has received significant attention. Most scheduling problems are modeled using either state-task-network or resource-task-network (RTN) process representation. In this paper

an improved mixed integer linear programming model for short-term scheduling of multipurpose batch plants under maximization of profit is proposed based on RTN representation and unit-specific events. To solve the model

a hybrid algorithm based on line-up competition algorithm and linear programming is presented. The proposed model and hybrid algorithm are applied to two benchmark examples in literature. The simulation results show that the proposed model and hybrid algorithm are effective for short-term scheduling of multipurpose batch plants.

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