Amadou Ba, Fearghal O'Donncha, et al.
INFORMS 2023
Real-time optimization responding to changing plant and market conditions is a distinctive aspect of manufacturing. The data-driven approach involves a prediction-optimization. The regressions are learned from sensor data and used to compute set points for control variables over a lookahead horizon to optimize production-related KPIs. However, negligent usage may lead to surprising inconsistencies. We detail pitfalls, including systematic error between models and current conditions, a mismatch between projection and actual response, and sensitivity of values used for non-control variables. We find that regression and optimization are not separable and recommend development jointly.
Amadou Ba, Fearghal O'Donncha, et al.
INFORMS 2023
Dhaval Patel, Dzung Phan, et al.
ICDE 2022
Robert Baseman
TechConnect 2024
Shubhi Asthana, Pawan Chowdhary, et al.
INFORMS 2020