2023 AIChE Annual Meeting

Session: Planning, Scheduling, Supply Chain and Logistics II

Chair

Utkarsh Shah, The Ohio State University

Co-Chair

Radhakrishna Tumbalam Gooty, Purdue University

Presentations

12:30 PM

(471a) Real-Time Chemical Production Rescheduling Via Explorative Reinforcement Learning Considering Nervousness
Sumin Hwangbo, Jonggeol Na, J Jay Liu, Jun Hyung Ryu, Hojae Lee

12:51 PM

(471b) A Graph Sampling and Coarsening Approach for the Solution of Supply Chain Models with Vehicle Routing Decisions
Victor M. Zavala, Jiaze Ma

01:12 PM

(471c) A Novel Hybrid Framework Integrating Artificial Intelligence and Mathematical Programming Approaches for Chemical Batch Scheduling
Dan Li, Jie Li, Taicheng Zheng

01:33 PM

(471d) A Quantitative Framework Towards Managing Risks and Disruptions in Energy and Manufacturing Supply Chains
Shivam Vedant, Natasha Chrisandina, Mahmoud El-Halwagi, Eleftherios Iakovou, Efstratios Pistikopoulos

01:54 PM

(471e) Using Machine Learning to Decompose Large-Scale MILP Supply Chain Models
Niki Triantafyllou, Paulina Quintanilla, Andrea Bernardi, Nilay Shah, Maria Papathanasiou

02:15 PM

(471f) Real-Time Supply Chain Optimization Using Deep Learning-Based Model Predictive Control
Jing Wang, Christopher Swartz, Kai Huang

02:36 PM

(471g) Simultaneous Scheduling and Dynamic Optimization of Discrete-Time Network Processes Using a Logic-Based Discrete Benders Decomposition Approach
David Liñán, Luis Ricardez-Sandoval