ITR: Distributed Resource Planning of Process Networks

ITR：过程网络的分布式资源规划

• 批准号: 0312771
• 负责人: Erik Ydstie
• 金额: $ 50万
• 依托单位: Carnegie-Mellon University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2003
• 资助国家: 美国
• 起止时间: 2003-09-01 至 2006-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0312771&HistoricalAwards=false
• 关键词: ITR; Distributed; Resource; Planning; Process

Research:The goal of this Information Technology (IT) Research - Small project is to develop a framework for distributed modeling, simulation and agent based optimization. Such a system will permit the integration of classical process systems engineering tools, like process modeling, numerical integration, optimization and predictive evaluation with the distributed data base capabilities of ERP systems. The focus will be on solution strategies that take advantage of distributed computing and information exchange across a network of connected computational units. The approach achieves speed, quality flexibility, and robustness that scales favorably with problem size. Two specific problems will be addressed:1. How to develop methods for dynamic simulation of distributed process networks, and2. How to use agent based methods for solving large scale, stochastic control problems that have dynamics distributed in time and space.A key issue in the research will be how to interface the modeling and agent-based optimization frameworks in such a way that the performance of the process network is optimized. Broader Impact:Enterprise Resource Planning (ERP) systems and other IT tools allow companies to access, analyze and disseminate vast amounts of distributed information almost instantaneously over the web. This project could help interface business IT with classical tools for process modeling and optimization which in turn could be of great commercial benefit to US industry.

研究：这个信息技术（IT）研究的目标-小型项目是开发一个分布式建模，仿真和基于代理的优化框架。 这样一个系统将允许集成的经典过程系统工程工具，如过程建模，数值积分，优化和预测评估与分布式数据库的ERP系统的能力。 重点将放在解决方案战略，利用分布式计算和信息交换的网络连接的计算单元。 该方法实现了速度，质量的灵活性，和鲁棒性，规模有利的问题的大小。 两个具体问题将被解决：1。如何开发分布式过程网络的动态仿真方法;如何将基于Agent的方法应用于大规模随机控制问题的求解，并将其应用于具有时间和空间动态分布的过程网络优化中，研究的一个关键问题是如何将建模和基于Agent的优化框架相结合，以优化过程网络的性能。更广泛的影响：企业资源规划（ERP）系统和其他IT工具使公司能够通过网络几乎瞬间访问、分析和传播大量分布式信息。 这个项目可以帮助接口的业务IT与经典的工具，流程建模和优化，这反过来又可能是巨大的商业利益，美国工业。