Restricted Research - Award List, Note/Discussion Page
Fiscal Year: 2023
1540 The University of Texas at Arlington (143428)
Principal Investigator: Shuo Linda Wang,shuolinda.wang@uta.edu,(817) 272-3413
Total Amount of Contract, Award, or Gift (Annual before 2011): $ 396,791
Exceeds $250,000 (Is it flagged?): Yes
Start and End Dates: 2/1/23 - 1/31/28
Restricted Research: YES
Academic Discipline: Mechanical & Aerospace Engineering
Department, Center, School, or Institute: none
Title of Contract, Award, or Gift: CAREER: A Multi-layer Dynamic Network Control for Agile, Optimized, and Sustainable Supply Chains
Name of Granting or Contracting Agency/Entity:
National Science Foundation (NSF)
CFDA Link: NSF
47.041
Program Title:
CAREER
CFDA Linked: Engineering Grants
Note:
(SAM Category 1.1.3.) The core aim of supply chain management has switched from maximizing profit and reducing inefficiencies to agile and dynamic planning of supply chains under the pandemic, which forms the main focus of this proposed integrated research-education program. In this domain, data are usually abundant and easy to access; however, an effective tool to optimize the supply chain performances and guarantee sustainability is underdeveloped. This proposed research will tackle it through the network modeling, control, and realization of production and distribution processes. A dynamic network model, processing real-time data for order and traffic, will be introduced for agile reaction and effective decision-making. In particular, the additive manufacturing supply chain network will be discussed as a typical example, through collaborations, for feasibility validation and evaluation. Further, this dynamic model will be expanded, with multi-layer network formulation, to discuss supply chains with the waste recycling process, which will contribute to a more sustainable society. This proposed work combines data analysis and optimization in the context of large-scale dynamic models, which promotes the understanding of the sustainable nature of such networks and further provides clues for agile sustainability management, which will have an immense, transformative effect on the economy, society, and environment. Moreover, the associated educational plan emphasizes the inspiration to teenagers to be future engineers and the expansion of STEM students’ exposure to engineering programs to enhance their skills. All the proposed initiatives will set the foundation for the PI’s career in bridging the areas of mathematics and engineering and further facilitates the workforce development for STEM students, especially the underrepresented groups including females.
Discussion: No discussion notes