Integrated Framework for Operational Planning and Scheduling Under Uncertainty

不确定性下的运营规划和调度综合框架

• 批准号: 0856021
• 负责人: Christodoulos Floudas
• 金额: $ 31.24万
• 依托单位: Princeton University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2009
• 资助国家: 美国
• 起止时间: 2009-03-15 至 2013-02-28
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0856021&HistoricalAwards=false
• 关键词: Integrated; Framework; Operational; Planning; Scheduling

Integrated Framework for Operational Planning and Scheduling under Uncertainty Professor C.A. Floudas Abstract This grant provides funding for the development of systematic approaches based on novel optimization methods and tools for the effective integration of operational planning, short-term scheduling and medium-term scheduling under uncertainty for large scale batch and continuous processes in the chemical process industry. The developed computational methods and tools will determine the optimal operational plan and detailed production schedule of batch and continuous processes, as well as establish the trade-offs between operational planning and scheduling in the presence of uncertainty in the product demands, costs, and processing times and rates. A new modeling approach for the operational planning with production disaggregation will be introduced that can address large scale batch and continuous plants. A framework for the integration of operational planning and medium-term scheduling, applicable to large-scale single-site and multi-site batch and continuous plants will be developed. A robust optimization approach for operational planning under uncertainty in product demands will be developed and applied to large scale batch and continuous chemical plants. If successful, the results of this research will lead into significant improvements in the operational planning and production scheduling under uncertainty of chemical processes. The primary goal of this work is to develop novel optimization methods and tools that address the complexity due to different types of uncertainty; material balances on raw materials, intermediate and final products; intermediate/final storage and cleanup requirements; variable processing times and rates; treatment of alternative stations; intermediate due dates; and resource constraints. The proposed work will also contribute to attaining faster response to market demand of chemical, pharmaceutical, and discrete manufacturing processes.

不确定性下的运营规划和调度综合框架 C.A. 教授Floudas 摘要 这笔赠款为开发基于新型优化方法和工具的系统方法提供了资金，以便在化学加工行业的大规模批量和连续过程的不确定性下有效集成运营规划、短期调度和中期调度。所开发的计算方法和工具将确定批量和连续过程的最佳操作计划和详细生产计划，并在产品需求、成本、加工时间和速率存在不确定性的情况下建立操作计划和调度之间的权衡。将引入一种新的生产分解运营规划建模方法，可以解决大规模批量和连续工厂的问题。将开发适用于大型单地点和多地点批量和连续工厂的运营规划和中期调度一体化框架。将开发一种在产品需求不确定的情况下用于运营规划的稳健优化方法，并将其应用于大型批量和连续化工厂。如果成功，这项研究的结果将显着改进化学过程不确定性下的运营规划和生产调度。这项工作的主要目标是开发新颖的优化方法和工具，以解决由于不同类型的不确定性而导致的复杂性；原材料、中间产品和最终产品的物料平衡；中间/最终储存和清理要求；可变的处理时间和速率；替代站的处理；中间到期日；和资源限制。拟议的工作还将有助于更快地响应化学、制药和离散制造工艺的市场需求。