Issue
To assess and manage the state of risk of any given U.S. supply chain extending across North America (MEX-USA-CAN), it is necessary to account for its complexity and for all evidence available to characterize it. This is facilitated through the integration of a Data Lake System (CBTS-DLS) coupled with a Data Management Workflow(CBTS-DMWF), supporting the development of a set of supply chain Case Studies, where each, includes the formulation and validation of a Risk Minimum Viable Model (i.e., a Bayesian RMVM), and its corresponding calibration and testing.
Objectives
- To assess and expand the current U.S.-Mexico Taskforce membership to include Canadian representatives
- To expand the CBTS Data Lake System (CBTS-DLS) from the previous taskforce project to add the computational infrastructure needed for producing probabilistic risk analytics and for adding backup capabilities to CBTS-DLS
- To update the design and operation of the current CBTS Data-Management Workflow (CBTS-DMWF) to provide a common computational research convergence platform, to make use of datasets, and to facilitate production of dashboards associated with each R19 case study
Value Proposition
Findings from this project were designed to provide DHS with a functional supply chain (network) data workflow and interactive visualization for identification of relevant criticalities in select cross-border supply chains. Project development practices from data collection to supply chain subject matter expert consultation were refined and systematized for derivation of supply chain risk networks. These networks served to inform and prompt further discussion and interaction around topics of interest and relevant context attached to each network node.
| Project Lead | Texas A&M University – College of Engineering |
| Research Team | PI: Zenon Medina-Cetina, Ph.D., Texas A&M University (TAMU), College of Engineering, College of Geosciences Co-PI: Dennis Gorman, Ph.D., TAMU, School of Public Health Co-PI: Julie Loisel, Ph.D., TAMU, College of Engineering College of Geosciences |
| Budget | $574,107 |
| Duration | Aug. 2022 – Aug. 2024 |