Knowledge Management System Of Institute of process engineering,CAS
| Robust optimization and stochastic programming approaches for medium-term production scheduling of a large-scale steelmaking continuous casting process under demand uncertainty | |
| Alternative Title | Comput. Chem. Eng. |
| Ye, Y.; Li, J.; Li, Z. K.; Tang, Q. H.; Xiao, X.; Floudas, C. A. | |
| 2014 | |
| Conference Name | 23rd European Symposium on Computer Aided Process Engineering (ESCAPE) |
| Source Publication | Computers & Chemical Engineering |
| Pages | 165-185 |
| Conference Date | JUN 09-12, 2013 |
| Conference Place | Lappeenranta Univ Technol, Lappeenranta, FINLAND |
| Abstract | Scheduling of steelmaking-continuous casting (SCC) processes is of major importance in iron and steel operations since it is often a bottleneck in iron and steel production. In practice, uncertainties are unavoidable and include demand fluctuations, processing time uncertainty, and equipment malfunction. In the presence of these uncertainties, an optimal schedule generated using nominal parameter values may often be suboptimal or even become infeasible. In this paper, we introduce robust optimization and stochastic programming approaches for addressing demand uncertainty in steelmaking continuous casting operations. In the robust optimization framework, a deterministic robust counterpart optimization model is introduced to guarantee that the production schedule remains feasible for the varying demands. Also, a two-stage scenario based stochastic programming framework is investigated for the scheduling of steelmaking and continuous operations under demand uncertainty. To make the resulting stochastic programming problem computationally tractable, a scenario reduction method has been applied to reduce the number of scenarios to a small set of representative realizations. Results from both the robust optimization and stochastic programming methods demonstrate robustness under demand uncertainty and that the robust optimization-based solution is of comparable quality to the two-stage stochastic programming based solution. (C) 2014 Elsevier Ltd. All rights reserved. |
| Keyword | Scheduling Steelmaking Continuous Casting Robust Optimization Two Stage Stochastic Programming Demand Uncertainty Multipurpose Batch Processes Continuous-time Formulation Steel Production Plant Framework Industry |
| URL | 查看原文 |
| Language | 英语 |
| Document Type | 会议论文 |
| Identifier | http://ir.ipe.ac.cn/handle/122111/11282 |
| Collection | 研究所（批量导入） |
| Recommended Citation GB/T 7714 | Ye, Y.,Li, J.,Li, Z. K.,et al. Robust optimization and stochastic programming approaches for medium-term production scheduling of a large-scale steelmaking continuous casting process under demand uncertainty[C],2014:165-185. |
| Files in This Item: | ||||||
| File Name/Size | DocType | Version | Access | License | ||
| Robust optimization （1417KB） | 限制开放 | CC BY-NC-SA | Application Full Text | |||
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