Scheduling and Planning

ON-SITE: Hall I 21 June 2022, 10:35–13:00 (JST/UTC+9)
ON-LINE:
JST   Chaired by Tatsushi Nishi (Okayama University) and Wei Yu (Auckland University)


10:35
|
10:55
  Proceeding #: 75
Combining Machine Learning with Mixed Integer Linear Programming in Solving Complex Scheduling Problems
Iiro Harjunkoski and Teemu Ikonen


10:55
|
11:15
  Proceeding #: 76
Knowledge-Guided Hybrid Approach for Scheduling Multipurpose Batch Plants
Dan Li, Dongda Zhang, Nan Zhang, Liping Zhang and Jie Li


11:15
|
11:35
  Proceeding #: 77
Scheduling of Electrical Power Systems under Uncertainty using Deep Reinforcement Learning
Akshay Ajagekar and Fengqi You
      Break


11:40
|
12:00
  Proceeding #: 78
A Reinforcement Learning Approach to Online Scheduling of Single-Stage Batch Chemical Production Processes
Max Mowbray, Dongda Zhang and Antonio Del Rio Chanona


12:00
|
12:20
  Proceeding #: 79
An adaptive multi-cut decomposition based algorithm for integrated closed loop scheduling and control
Ilias Mitrai and Prodromos Daoutidis


12:20
|
12:40
  Proceeding #: 80
Uncertainty Evaluation of Biorefinery Supply Chain's Economic and Environmental Performance Using Stochastic Programming
Yuqing Luo and Marianthi Ierapetritou


12:40
|
13:00
  Proceeding #: 81
An Improved Optimization Model for Scheduling of an Industrial Formulation Plant based on Integer Linear Programming
Vassilios Yfantis, Alexander Babskiy, Christian Klanke, Martin Ruskowski and Sebastian Engell

JST: Japan Standard Time (UTC+9).
Time with asterisk* indicates the time of the date one day before.
Time with double dagger indicates the time of the date one day after.