IEEE CASE 2022

In 2022, I presented my paper “A model-based multi-agent framework to enable an agile response to supply chain disruptions” at the IEEE 18th International Conference on Automation Science and Engineering (CASE). The conference was held in Mexico City, Mexico, but I did not get a chance to attend in person due to the visa issue. This paper was selected as “Best Conference and Application Paper Finalist”!

The abstract of the paper is shown below:

Due to the COVID-19 pandemic, the global supply chain is disrupted at an unprecedented scale under uncertain and unknown trends of labor shortage, high material prices, and changing travel or trade regulations. To stay competitive, enterprises desire agile and dynamic response strategies to quickly react to disruptions and recover supply-chain functions. Although both centralized and multi-agent approaches have been studied, their implementation requires prior knowledge of disruptions and agent-rule-based reasoning. In this paper, we introduce a model-based multi-agent framework that enables agent coordination and dynamic agent decision-making to respond to supply chain disruptions in an agile and effective manner. Through a small-scale simulated case study, we showcase the feasibility of the proposed approach under several disruption scenarios that affect a supply chain network differently, and analyze performance trade-offs between the proposed distributed and centralized methods.