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Visualizing Supply Chain Data to Bolster Resilience for Puerto Rican Food, Energy, and Water Infrastructure
Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org
Citation: 2022 ASABE Annual International Meeting 2201249.(doi:10.13031/aim.202201249)
Authors: Daniela M. Markazi, Luis F. Rodríguez, Richard R. Rushforth, Sean M. Ryan, Michael J. Stablein
Keywords: Data availability, data fusion, disaster preparedness, food-energy-water systems, food security.
Abstract. The increasing amount and intensity of disasters worldwide cause disruptions in supply chains. Puerto Rico suffers from both its historically disenfranchised status as a colonial territory and the effects of compounding disasters. These factors cripple the island's ability to produce resources and sustain the population's needs. The sparsity of data and file types, along with language barriers, challenges researchers and government alike to gather and analyze all of Puerto Rico's supply chains online in one centralized location. Thus, this research evaluates Puerto Rican food, energy, and water (FEW) datasets to elucidate challenges in data management and supply chain analysis. Data were reviewed from governmental databases such as the National Agricultural Statistics Service (NASS), United States Energy Information Administration (EIA), and United States Geological Survey (USGS) to understand the availability and demand of the FEW systems for the island. After evaluating Puerto Rican FEW data, the preliminary results of this research reveal gaps in supply chain systems, such as the lack of updated and complete publicly available data. The results serve to expand supply chain analyses to other vulnerable populations that are missing data or inefficiently managing FEW resource distribution, providing a platform and process foundation for future work. Moreover, the results will be utilized in FEW-View, a visualization system to readily identify and analyze resilient supply chains.
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