MO2.A: AI for Scheduling, Supply Chains and Networked Systems
Mon, 11 Jan, 16:00 - 18:00 MST (UTC -7)
Location: Murphy
Session Type: Oral
Track: Track
Mon, 11 Jan, 16:00 - 16:20 MST (UTC -7)

MO2.A.1: SUPERVISED DISPATCHING FOR IDENTICAL PARALLEL MACHINE TOTAL TARDINESS SCHEDULING
Daniel Zhu, Christos Maravelias, Princeton University, United States
Mon, 11 Jan, 16:20 - 16:40 MST (UTC -7)

MO2.A.2: Load-Balanced Network Structure Detection for Decomposing Optimization Problems
Fortune Adekogbe, Andrew Allman, University of Michigan, United States
Mon, 11 Jan, 16:40 - 17:00 MST (UTC -7)

MO2.A.3: Supply Chain Resiliency Mapping with Graph Neural Networks
Arsh Bhatia, Carnegie Mellon University, United States; Maria Paz Ochoa, Ellen Du, Adriana Vazquez, Dow Inc., United States; Carl Laird, Ignacio Grossmann, Carnegie Mellon University, United States
Mon, 11 Jan, 17:00 - 17:20 MST (UTC -7)

MO2.A.4: AGRI-BRAIN – AUTONOMOUS GOVERNANCE AND CIRCULAR REVERSE-LOGISTICS INTELLIGENCE IN AGRI-FOOD SUPPLY CHAINS VIA BLOCKCHAIN-REGULATED AI AGENTS
Monzure-Khoda Kazi, Nahid Sarker, South Dakota School of Mines and Technology, United States
Mon, 11 Jan, 17:20 - 17:40 MST (UTC -7)

MO2.A.5: Synthesizing Reliable Wastewater Treatment Networks: Integrating the P-graph Framework and Risk Assessment through Vision Language Models
Andres Castellar-Freile, Rowan University, United States; Jean Pimentel, Széchenyi István University, Hungary; Deanna Mariano, Brian Guillermo, Emma Salgueiro, Rowan University, United States; Ákos Orosz, University of Pannonia, Hungary; Heriberto Cabezas, Ferenc Friedler, Széchenyi István University, Hungary; Kirti M. Yenkie, Rowan University, United States
Mon, 11 Jan, 17:40 - 18:00 MST (UTC -7)

MO2.A.6: CONTEXTUAL BILEVEL REINFORCEMENT LEARNING FOR ENVIRONMENTAL POLICY DESIGN IN PROCESS SUPPLY CHAINS UNDER UNCERTAINTY
Grigorios Tatsis, Marianthi Ierapetritou, University of Delaware, United States