In this section
@inbook{van:2023:10.1016/B978-0-443-15274-0.50103-7,
author = {van, de Berg D and Jimbo, RXJ and Shah, N and del, Rio-Chanona EA},
booktitle = {Computer Aided Chemical Engineering},
doi = {10.1016/B978-0-443-15274-0.50103-7},
pages = {649--654},
title = {Tractable Data-driven Solutions to Hierarchical Planning-scheduling-control},
url = {http://dx.doi.org/10.1016/B978-0-443-15274-0.50103-7},
year = {2023}
}
TY - CHAP
AB - Using numerical optimization for the hierarchical integration of decision-making units is crucial to provide feasibility and optimality of all levels. However, realistically modelling hierarchical decision-making calls for multilevel formulations, which are numerically intractable and mathematically difficult. In this work, we show how to leverage two data-driven techniques – derivative-free optimization and optimality surrogates – to decrease the computational burden of multilevel problems. We reformulate a tri-level planning-scheduling-control problem into a single-level black-box problem wherein each evaluation calls a scheduling instance with embedded optimal control surrogates. We show that solving this integrated problem instead of the single-level instance leads to changes in the optimal production planning and scheduling sequence, and discuss trade-offs associated with both techniques.
AU - van,de Berg D
AU - Jimbo,RXJ
AU - Shah,N
AU - del,Rio-Chanona EA
DO - 10.1016/B978-0-443-15274-0.50103-7
EP - 654
PY - 2023///
SP - 649
TI - Tractable Data-driven Solutions to Hierarchical Planning-scheduling-control
T1 - Computer Aided Chemical Engineering
UR - http://dx.doi.org/10.1016/B978-0-443-15274-0.50103-7
ER -