2023 AIChE Annual Meeting

Session: Planning, Scheduling, Supply Chain and Logistics II

Chair

Shah, U., The Ohio State University

Co-Chair

Tumbalam Gooty, R., Purdue University

Presentations

12:30 PM

(471a) Real-Time Chemical Production Rescheduling Via Explorative Reinforcement Learning Considering Nervousness
Hwangbo, S., Na, J., Liu, J. J., Ryu, J. H., Lee, H.

12:51 PM

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

01:12 PM

(471c) A Novel Hybrid Framework Integrating Artificial Intelligence and Mathematical Programming Approaches for Chemical Batch Scheduling
Li, D., Li, J., Zheng, T.

01:33 PM

(471d) A Quantitative Framework Towards Managing Risks and Disruptions in Energy and Manufacturing Supply Chains
Vedant, S., Chrisandina, N., El-Halwagi, M., Iakovou, E., Pistikopoulos, E.

01:54 PM

(471e) Using Machine Learning to Decompose Large-Scale MILP Supply Chain Models
Triantafyllou, N., Quintanilla, P., Bernardi, A., Shah, N., Papathanasiou, M.

02:15 PM

(471f) Real-Time Supply Chain Optimization Using Deep Learning-Based Model Predictive Control
Wang, J., Swartz, C., Huang, K.

02:36 PM

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