System Dynamics Management Policies Based on Conservation Laws

基于守恒定律的系统动力学管理策略

• 批准号: 0313317
• 负责人: Carlos Daganzo
• 金额: $ 17.06万
• 依托单位: University of California-Berkeley
• 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 2005-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0313317&HistoricalAwards=false
• 关键词: System; Dynamics; Management; Policies; Based

This research will investigate the dynamics of storage systems, such as street networks, supply chains and transit lines. It will develop centralized and decentralized management methods that can prevent instabilities without undermining system performance. The work will focus on two difficult but related problems: (a) managing the morning commuting period in a congested city, and (b) stabilizing freight networks driven by inventory considerations. For the morning commute problem, centralized policies for congestion management such as tolls, taxation and land-use regulations will be designed and evaluated. For the freight network problem, decentralized inventory management policies will be developed that can eliminate the so-called "bullwhip effect" and approximately minimize cost. The research is important because it will help reduce the societal costs of congestion, and will show how to streamline supply chains and other storage networks. It will also show how generic tools can be developed for the control of these kinds of systems, which could encourage additional applications.

这项研究将调查存储系统的动态，如街道网络、供应链和公交线路。它将开发集中和分散的管理方法，在不损害系统性能的情况下防止不稳定。这项工作将集中于两个困难但相关的问题：(A)在拥挤的城市管理早间通勤时间，以及(B)由于库存考虑而稳定货运网络。针对早间通勤问题，将设计和评估收费、税收和土地使用法规等拥堵管理的集中政策。对于货运网络问题，将制定分散的库存管理策略，以消除所谓的牛鞭效应，并近似最小化成本。这项研究很重要，因为它将有助于降低拥堵的社会成本，并将展示如何简化供应链和其他存储网络。它还将展示如何开发通用工具来控制这些类型的系统，这可能会鼓励更多的应用程序。