基于特定单元事件点的改进间歇生产调度模型

doi:10.11949/j.issn.0438-1157.20151860

化工学报 ›› 2016, Vol. 67 ›› Issue (3): 758-764.DOI: 10.11949/j.issn.0438-1157.20151860

基于特定单元事件点的改进间歇生产调度模型

韩豫鑫, 顾幸生

华东理工大学化工过程先进控制与优化技术教育部重点实验室, 上海 200237

收稿日期:2015-12-08 修回日期:2015-12-22 出版日期:2016-03-05 发布日期:2016-01-12
通讯作者: 顾幸生
基金资助:
国家自然科学基金项目(61174040,61573144);上海市科委基础研究重点项目(12JC1403400)。

Improved unit-specific event based model for scheduling of batch plants

HAN Yuxin, GU Xingsheng

Key Laboratory of Advanced Control and Optimization for Chemical Processes (Ministry of Education), East China University of Science and Technology, Shanghai 200237, China

Received:2015-12-08 Revised:2015-12-22 Online:2016-03-05 Published:2016-01-12
Contact: 67
Supported by:
supported by the National Natural Science Foundation of China (61174040, 61573144) and the Shanghai Commission of Science and Technology(12JC1403400).

摘要/Abstract

摘要：

建立有效的间歇调度模型一直是生产调度问题调度研究的热点,而连续时间模型是优化短期间歇生产调度问题的有效工具。基于特定单元事件点的概念,建立一种改进的间歇调度连续时间混合整数线性规划(MILP)模型。该调度模型引入了新变量,使模型处理物料在不同设备间的传输过程更加灵活。结果表明,提出的改进模型只需要较少的事件点,就可以快速有效处理无限中间存储(UIS)间歇调度问题。

关键词: 间歇调度问题, 生产, 优化, 特定单元事件点, 模型

Abstract:

Establishing effective model of scheduling for batch processes is the hot spot of the batch processes scheduling research. Continuous-time models are evolved as a promising tool for optimizing problems related to short-term scheduling of batch plants. Short-term scheduling of batch operations is an important part of scheduling problems. Based on the concept of unit-specific event, an improved mixed integer linear programming model for scheduling of batch plants is proposed. Several new variables and constraints are introduced to make stock transfer between units more flexible. The result shows that the new model can deal with scheduling problems of unlimited intermediate storage effectively and faster with less number of events.

Key words: batch plants scheduling, production, optimization, unit-specific event, model

中图分类号:

TP278

韩豫鑫, 顾幸生. 基于特定单元事件点的改进间歇生产调度模型[J]. 化工学报, 2016, 67(3): 758-764.

HAN Yuxin, GU Xingsheng. Improved unit-specific event based model for scheduling of batch plants[J]. CIESC Journal, 2016, 67(3): 758-764.

参考文献 20

[1]	李慧芳, 李人厚, 陈浩勋. 化工批处理过程调度综述[J]. 信息与控制, 1999, 28(2): 127-135. DOI: 10.3969/j.issn. 1002-0411. 1999. 02. 010 LI H F, LI R H, CHEN H X. The survey of scheduling of batch chemical process[J]. Information and Control, 1999, 28(2): 127-135. DOI: 10.3969/j.issn. 1002-0411. 1999. 02. 010
[2]	耿佳灿, 顾幸生. 不确定条件下中间存储时间有限多产品间歇生产过程调度[J]. 化工学报, 2015, 66(1): 357-365. GENG J C, GU X S. Time-constrained intermediate storage multiproduct batch process scheduling with uncertainty[J]. CIESC Journal, 2015, 66(1): 357-365.
[3]	杨玉珍, 顾幸生. 多目标零等待间歇生产过程多任务调度[J]. 化工学报, 2013, 64(2):4978-4584. DOI: 10.3969/j.issn. 0438-1157. 2013. 12. 046 YANG Y Z, GU X S. Multi-objective no-wait multi-task scheduling problem of batch process[J]. CIESC Journal, 2013, 64(2):4978-4584. DOI: 10.3969/j.issn. 0438-1157. 2013. 12. 046.
[4]	CARLOS A M, JAIME C, GROSSMAN I E. State-of-the-art review of optimization methods for short-term scheduling of batch processes[J]. Computers and Chemical Engineering, 2006, 30(6): 912-946
[5]	MARAVELIAS C T. A general framework and modeling approach classification for chemical production scheduling[J]. AIChE Journal, 2012, 58(6): 1812-1834.
[6]	NIE Y S, LORENZ T B, JOHN M W. Integrated scheduling and dynamic optimization of batch processes using state equipment networks[J]. AIChE Journal, 2012, 58(11): 3416-3434.
[7]	CASTRO P M, BARBOSA-POVOA A P, Matos H A, et al. Simple continuous-time formulation for short-term scheduling of batch and continuous processes[J]. Ind. Eng. Chem. Res., 2004, 43(1): 105-120
[8]	SUNDARAMOORTHY A, KARIMI I A. A simpler better slot-based continuous-time formulation for short-term scheduling in multipurpose batch plants[J]. Chem. Eng. Sci., 2005, 60(10): 2679-2691
[9]	MARAVELIAS C T, GROSSMAN I E. New general continuous-time state-task network formulation for short-term scheduling of multipurpose batch plants[J]. Ind. Eng. Chem. Res., 2003, 42(19): 3056-3074
[10]	CHU Y F, YOU F Q. Integration of production scheduling and dynamic optimization for multi-product CSTRs: generalized benders decomposition coupled with global mixed-integer fractional programming[J]. Computers and Chemical Engineering, 2013, 58(11): 315-333.
[11]	CHEN G H, YAN L X, SHI B. Modeling and optimization for short-term scheduling of multipurpose batch plants[J]. Chinese Journal of Chemical Engineering, 2014, 22(6):682-689.
[12]	SEID R, MAJOZI T. A robust mathematical formulation for multipurpose batch plants[J]. Chem. Eng. Sci., 2012, 68(1): 36-58
[13]	吴建昱, 何小荣, 陈丙珍, 等. 新的多产品间歇生产调度的MILP模型[J]. 化工学报, 2003, 59(9):1252-1255. DOI: 10.3321/j.issn: 0438-1157.2003.09.016. WU J Y, HE X R, CHEN B Z, et al. A new continuous time MILP model for scheduling of multi-product batch Plants[J]. Journal of Chemical Industry and Engineering(China), 2003, 59(9):1252-1255. DOI: 10.3321/j.issn: 0438-1157. 2003.09.016.
[14]	IERAPETRITOU M G, FLOUDAS C A. Effective continuous-time formulation for short-term scheduling(Ⅰ): Multipurpose batch processes[J]. Ind. Eng. Chem. Res., 1998, 37(9): 4341-4360.
[15]	JANAK S L, LIN X, FLOUDAS C A. Enhanced continuous-time unit-specific event-based formulation for short-term scheduling of multipurpose batch processes: resource constraints and mixed storage policies[J]. Ind. Eng. Chem. Res., 2004, 43(10): 2516-2534.
[16]	SHAIK M A, FLOUDAS C A. Unit-specific event-based continuous time approach for short-term scheduling of batch plants using RTN framework[J]. Comput. Chem. Eng., 2008, 32(1): 260-282.
[17]	SHAIK M A, FLOUDAS C A. Novel unified modeling approach for short-term scheduling[J]. Ind. Eng. Chem. Res., 2009, 48(6): 2947-2964
[18]	VOORADI R, SHAIK M A. Improved three-index unit-specific event-based model for short-term scheduling of batch plants[J]. Comput. Chem. Eng., 2012, 43(10): 148-172
[19]	VOORADI R, SHAIK M A. Rigorous unit-specific event-based model for short-term scheduling of batch plants using conditional sequencing and unit-wait times[J]. Industrial and Engineering Chemistry Research, 2013, 52(36): 12950-12972
[20]	SUNDARAMOORTHY A, KARIMI I A. A simpler better slot-based continuous-time formulation for short-term scheduling in multipurpose batch plants[J]. Chem. Eng. Sci., 2005, 60(10): 2679-2690.

基于特定单元事件点的改进间歇生产调度模型

Improved unit-specific event based model for scheduling of batch plants

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献 20

相关文章 15

编辑推荐

Metrics

本文评价

[1]	杨欣, 王文, 徐凯, 马凡华. 高压氢气加注过程中温度特征仿真分析[J]. 化工学报, 2023, 74(S1): 280-286.
[2]	宋嘉豪, 王文. 斯特林发动机与高温热管耦合运行特性研究[J]. 化工学报, 2023, 74(S1): 287-294.
[3]	连梦雅, 谈莹莹, 王林, 陈枫, 曹艺飞. 地下水预热新风一体化热泵空调系统制热性能研究[J]. 化工学报, 2023, 74(S1): 311-319.
[4]	金正浩, 封立杰, 李舒宏. 氨水溶液交叉型再吸收式热泵的能量及分析[J]. 化工学报, 2023, 74(S1): 53-63.
[5]	李科, 文键, 忻碧平. 耦合蒸气冷却屏的真空多层绝热结构对液氢储罐自增压过程的影响机制研究[J]. 化工学报, 2023, 74(9): 3786-3796.
[6]	何松, 刘乔迈, 谢广烁, 王斯民, 肖娟. 高浓度水煤浆管道气膜减阻两相流模拟及代理辅助优化[J]. 化工学报, 2023, 74(9): 3766-3774.
[7]	王浩, 王振雷. 基于自适应谱方法的裂解炉烧焦模型化简策略[J]. 化工学报, 2023, 74(9): 3855-3864.
[8]	陈哲文, 魏俊杰, 张玉明. 超临界水煤气化耦合SOFC发电系统集成及其能量转化机制[J]. 化工学报, 2023, 74(9): 3888-3902.
[9]	齐聪, 丁子, 余杰, 汤茂清, 梁林. 基于选择吸收纳米薄膜的太阳能温差发电特性研究[J]. 化工学报, 2023, 74(9): 3921-3930.
[10]	邢雷, 苗春雨, 蒋明虎, 赵立新, 李新亚. 井下微型气液旋流分离器优化设计与性能分析[J]. 化工学报, 2023, 74(8): 3394-3406.
[11]	于旭东, 李琪, 陈念粗, 杜理, 任思颖, 曾英. 三元体系KCl + CaCl₂ + H₂O 298.2、323.2及348.2 K相平衡研究及计算[J]. 化工学报, 2023, 74(8): 3256-3265.
[12]	张曼铮, 肖猛, 闫沛伟, 苗政, 徐进良, 纪献兵. 危废焚烧处理耦合有机朗肯循环系统工质筛选与热力学优化[J]. 化工学报, 2023, 74(8): 3502-3512.
[13]	诸程瑛, 王振雷. 基于改进深度强化学习的乙烯裂解炉操作优化[J]. 化工学报, 2023, 74(8): 3429-3437.
[14]	闫琳琦, 王振雷. 基于STA-BiLSTM-LightGBM组合模型的多步预测软测量建模[J]. 化工学报, 2023, 74(8): 3407-3418.
[15]	陈国泽, 卫东, 郭倩, 向志平. 负载跟踪状态下的铝空气电池堆最优功率点优化方法[J]. 化工学报, 2023, 74(8): 3533-3542.