SGER: Characterization of the Supply Chains in the Aftermath of an Extreme Event: The Gulf Coast Experience

SGER：极端事件后供应链的特征：墨西哥湾沿岸的经验

• 批准号: 0554949
• 负责人: Jose Holguin-Veras
• 金额: --
• 依托单位: Rensselaer Polytechnic Institute
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-02-01 至 2007-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0554949&HistoricalAwards=false
• 关键词: SGER; Characterization; Supply; Chains; Aftermath

This project is concerned with gathering perishable information and data about the basic features of the formal and the informal logistic systems supporting the recovery and the flows of critical and non-critical supplies to areas impacted by hurricane Katrina. Prior research points to the challenges associated with setting up supply chains to an impacted site that fully account for immediate resource requirements, the range of supply sources and source mechanisms, as well as the management and prioritization of critical versus non-essential donations. This SGER project will (1) identify the basic features of the supply chains delivering resources to the Gulf Coast; (2) Gather data about the actual flows of critical and non-critical supplies; and (3) Document lessons learned, both positive and negative. This research will provide future researchers with a clear picture of the supply chains in place at the site of an extreme event, which will enable the development of much needed decision support systems. The proposed research involves multi-university collaborations between RPI and the University of Delaware. It makes use of quick response data collected by the University of Delaware's Disaster Research Center in the weeks following the hurricane and leverages resources of Rensselaer's Center for Intermodal Freight Mobility and Security.

这个项目涉及收集关于正规和非正规后勤系统的基本特征的易腐烂的资料和数据，这些系统支持恢复以及向受卡特里娜飓风影响的地区运送关键和非关键物资。先前的研究指出，在受影响的地点建立供应链面临的挑战是，要充分考虑当前的资源需求、供应来源的范围和来源机制，以及关键捐赠与非必要捐赠的管理和优先顺序。该SGER项目将(1)确定向墨西哥湾沿岸输送资源的供应链的基本特征；(2)收集关键和非关键物资的实际流动数据；(3)记录吸取的教训，包括积极的和消极的。这项研究将为未来的研究人员提供极端事件现场供应链的清晰图景，这将使他们能够开发急需的决策支持系统。拟议的研究涉及RPI和特拉华大学之间的多所大学合作。它利用了特拉华大学灾害研究中心在飓风发生后几周内收集的快速响应数据，并利用了伦斯勒多式联运货运流动和安全中心的资源。