University of Minnesota-Twin Cities
The Criticality Spatial Analysis (CRISTAL) project is funded through the Department of Homeland Security E2E initiative and was its second year of funding during 2013/2014. The goal of the CRISTAL project is to develop a user friendly, web-based software product that can be used to document food product line supply chains and to perform criticality assessments on those supply chains. During year 1 of the project, a conceptual model and working prototype were developed in a GIS based system. This prototype allowed the user to build product line supply chains by inputting the locations of supply chain facilities and transportation links among those facilities. The user could also overlay hazards related to geographic location such as flooding or hurricane frequency. During year 2, a criticality scoring algorithm was developed for CRISTAL. This scoring algorithm allows the user to select from a wide range of hazards, from weather hazards related to a facility's location to biological or chemical hazards that might be introduced into a food product at a facility. The criticality scores are applied to every individual facility and transportation link in a supply chain and an overall score is applied to an entire product line supply chain. These scores can be used to rank supply chain components for prioritization of facility based vulnerability assessments and allocation of limited mitigation resources. In addition to development of the scoring algorithm, IT requirements needed to transition the tool to the end-user were implemented. These requirements included assessment and implementation of industry best practices for data security, individual access management, and deployment to a cloud-based environment.