Operational Planning of Large-Scale Continuous Processes: Deterministic Planning Model and Robust Optimization for Demand Amount and Due Date Uncertainty
文献类型：期刊论文
| 作者 | Li, Jie1,2; Verderame, Peter M.1; Floudas, Christodoulos A.1 |
| 刊名 | INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH
 |
| 出版日期 | 2012-03-21 |
| 卷号 | 51期号:11页码:4347-4362 |
| 关键词 | CONTINUOUS-TIME FORMULATION MULTIPURPOSE BATCH PROCESSES SHORT-TERM SEMICONTINUOUS PROCESSES PROCESS INDUSTRY LINEAR-PROGRAMS MIXED-INTEGER PLANTS FRAMEWORK DESIGN |
| ISSN号 | 0888-5885 |
| 通讯作者 | Floudas, CA |
| 英文摘要 | The operational planning problem typically determines both the plant's aggregate and daily production targets to meet product demands over a long time horizon varying from one to three months. The daily production profile generated from the operational planning level is used to schedule the day-to-day operations of the plant. In this paper, we first extend the production disaggregation model framework proposed by Verderame and Floudas, Ind. Eng. Chem. Res. 2008, 47, 4845-4860 to develop a novel mixed-integer linear programming operational planning model based on discrete-time representation for a large-scale multiproduct continuous plant. We allow unused processing time to carry over from one day to the next and thus capture the continuous time nature of the plant. The production totals are disaggregated into a feasible distribution of daily production requirements, and daily production profiles are provided to meet the requirements of the medium-term scheduling model developed by Shaik and Floudas, Comput. Chem. Eng. 2009, 33, 670-686. Then, we extend the work of Lin et al. Ind. Eng. Chem. Res. 2004, 28, 1069-1085 and Janak et al. Ind. Eng. Chem. Res. 2007, 31, 171-195 to address various forms of demand amount and due date uncertainty. The computational results show that the proposed deterministic and robust planning models successfully provide tight upper bounds on the plant's true production capacity. |
| WOS标题词 | Science & Technology ; Technology |
| 类目[WOS] | Engineering, Chemical |
| 研究领域[WOS] | Engineering |
| 关键词[WOS] | CONTINUOUS-TIME FORMULATION ; MULTIPURPOSE BATCH PROCESSES ; SHORT-TERM ; SEMICONTINUOUS PROCESSES ; PROCESS INDUSTRY ; LINEAR-PROGRAMS ; MIXED-INTEGER ; PLANTS ; FRAMEWORK ; DESIGN |
| 收录类别 | SCI |
| 语种 | 英语 |
| WOS记录号 | WOS:000301681000022 |
| 公开日期 | 2013-10-23 |
| 版本 | 出版稿 |
| 源URL | [http://ir.ipe.ac.cn/handle/122111/3882]  |
| 专题 | 过程工程研究所_多相复杂系统国家重点实验室 |
| 作者单位 | 1.Princeton Univ, Dept Chem & Biol Engn, Princeton, NJ 08544 USA 2.Chinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, Beijing 100190, Peoples R China |
| 推荐引用方式 GB/T 7714 | Li, Jie,Verderame, Peter M.,Floudas, Christodoulos A.. Operational Planning of Large-Scale Continuous Processes: Deterministic Planning Model and Robust Optimization for Demand Amount and Due Date Uncertainty[J]. INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,2012,51(11):4347-4362. |
| APA | Li, Jie,Verderame, Peter M.,&Floudas, Christodoulos A..(2012).Operational Planning of Large-Scale Continuous Processes: Deterministic Planning Model and Robust Optimization for Demand Amount and Due Date Uncertainty.INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH,51(11),4347-4362. |
| MLA | Li, Jie,et al."Operational Planning of Large-Scale Continuous Processes: Deterministic Planning Model and Robust Optimization for Demand Amount and Due Date Uncertainty".INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH 51.11(2012):4347-4362. |
入库方式： OAI收割
来源：过程工程研究所
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