Modeling and Optimization of Sustainable and ResilienT FEW (MOST FEW) Networks

可持续和弹性的少数（最多）网络的建模和优化

• 批准号: 1803527
• 负责人: Vikas Khanna
• 金额: $ 30.58万
• 依托单位: University of Pittsburgh
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2018
• 资助国家: 美国
• 起止时间: 2018-08-01 至 2023-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1803527&HistoricalAwards=false
• 关键词: Modeling; Optimization; Sustainable; ResilienT; FEW

Food, energy and water (FEW) systems are inextricably linked with high degrees of interdependence and interconnectedness. The overall goal of this project is to develop a systems-level modeling and optimization framework to understand the sustainability, resilience, and structure of the FEW nexus with a focus on the U.S. national food system. The project is targeted to provide an understanding of the resilience of the U.S. domestic food flow network in conjunction with embodied water and energy flows, leading in turn to insight into the ecology, behavior, sustainability, and resilience of the FEW nexus.The project focuses on three main research objectives. The first objective examines the U.S. national food system with an emphasis on inter-state food trade. Specifically, the project will model the embodied water and energy associated with traded food by combining, integrating, and reconciling publically available data sets on domestic food production, trade, and life cycle environmental impacts. The second objective will focus on developing and applying existing and novel network theory based techniques and metrics to understand the overall topology, sustainable, and resilience of the U.S. FEW networks. The third objective will develop and apply optimization-based approaches for sustainable and resilient design of FEW systems. Specifically, it will permit the integration of information from network science and optimization techniques for identifying and evaluating interventions for enhancing the sustainability and resilience of the FEW nexus. By combining data on domestic food trade, embodied water and energy flows with network theory and optimization-based tools and techniques, the project seeks to discover novel sustainability and resilience insights, and opportunities for the highly integrated FEW systems. Interdependencies, interconnectedness, and vulnerable points of the FEW nexus will be identified, which will support planning for the sustainable management of these integrated systems. The research aims to result in two significant contributions towards understanding and supporting the sustainability and resilience of the FEW nexus. First, an understanding of the structure of the FEW nexus is to be developed, describing its interconnectedness, interdependencies, and vulnerable points. Second, rigorous optimization-based approaches for optimizing the structure of the domestic food trade network will be developed, with a view towards enhancing its sustainability and resilience. The research aims to play a pivotal role in satisfying the need for understanding sustainability and resilience of the FEW nexus via integration of network theory techniques with rigorous optimization-based approaches and life cycle oriented methods.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

粮食、能源和水（FEW）系统以高度的相互依存和相互联系紧密地联系在一起。该项目的总体目标是开发一个系统级建模和优化框架，以了解FEW关系的可持续性，弹性和结构，重点是美国国家粮食系统。该项目旨在了解美国国内食物流网络的弹性，以及隐含的水和能量流，从而深入了解FEW关系的生态，行为，可持续性和弹性。该项目侧重于三个主要研究目标。第一个目标是考察美国的国家食品体系，重点是州际食品贸易。具体而言，该项目将通过结合、整合和协调有关国内粮食生产、贸易和生命周期环境影响的现有数据集，对与贸易粮食相关的水和能源进行建模。第二个目标将侧重于开发和应用现有的和新的基于网络理论的技术和指标，以了解美国FEW网络的整体拓扑结构、可持续性和弹性。第三个目标是开发和应用基于优化的方法，用于FEW系统的可持续和弹性设计。具体而言，它将允许整合来自网络科学和优化技术的信息，以确定和评估干预措施，提高少数妇女网络的可持续性和复原力。通过将国内食品贸易、隐含水和能量流的数据与网络理论和基于优化的工具和技术相结合，该项目旨在发现新的可持续性和弹性见解，以及高度集成的FEW系统的机会。将查明少数水资源系统之间的相互依存关系、相互联系和脆弱点，这将有助于规划这些综合系统的可持续管理。该研究旨在为理解和支持少数妇女关系的可持续性和复原力做出两项重大贡献。首先，要了解少数妇女关系的结构，描述其相互联系、相互依存和脆弱点。第二，将制定严格的优化方法，优化国内粮食贸易网络的结构，以提高其可持续性和复原力。该研究旨在通过将网络理论技术与严格的基于优化的方法和面向生命周期的方法相结合，在满足理解FEW关系的可持续性和弹性方面发挥关键作用。该奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

On designing networks resilient to clique blockers

• DOI: 10.1016/j.ejor.2022.09.013
• 发表时间: 2022-09
• 期刊: Eur. J. Oper. Res.
• 作者: Haonan Zhong;F. M. Pajouh;O. Prokopyev

Analysis of process flexibility designs under disruptions

• DOI: 10.1080/24725854.2020.1759162
• 发表时间: 2020-07
• 期刊: IISE Transactions
• 影响因子: 2.6
• 作者: Erfan Mehmanchi;H. Bidkhori;O. Prokopyev

On integer programming models for the maximum 2-club problem and its robust generalizations in sparse graphs

• DOI: 10.1016/j.ejor.2021.05.010
• 发表时间: 2021-05
• 期刊: Eur. J. Oper. Res.
• 作者: Alexander Veremyev;V. Boginski;E. Pasiliao;O. Prokopyev

Finding groups with maximum betweenness centrality via integer programming with random path sampling

• DOI: 10.1007/s10898-022-01269-2
• 发表时间: 2023-02
• 期刊: Journal of Global Optimization
• 影响因子: 1.8
• 作者: Tomas Lagos;O. Prokopyev;Alexander Veremyev

Consumption-Based Accounting for Tracing Virtual Water Flows Associated with Beef Supply Chains in the United States.

基于消耗的核算，用于追踪与美国牛肉供应链相关的虚拟水流。

• DOI: 10.1021/acs.est.2c03986
• 发表时间: 2022
• 期刊: Environmental science & technology
• 影响因子: 11.4
• 作者: A. Ostroski;Tomas Lagos;O. Prokopyev;V. Khanna
• 通讯作者: V. Khanna