Process scheduling under uncertainty: Review and challenges

By Zukui Li, Marianthi G. Ierapetritou. Computers and Chemical Engineering, 2008

379 citations recorded by the source corpus.

Subfields: Control and Systems Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/8a09c5270cd5f9a592cfb91b5ea9924c104f996c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Control and Systems Engineering

1. Fengqi You
2. Qi Zhang
3. Chao Ning
4. Ignacio E. Grossmann
5. Christodoulos A. Floudas
6. Arnold Neumaier
7. Ruth Misener
8. John N. Hooker

In Industrial and Manufacturing Engineering

1. Qi Zhang
2. Ignacio E. Grossmann
3. Fengqi You
4. John N. Hooker

Citations in the corpus

• Enterprise-wide optimization for industrial demand side management: Fundamentals, advances, and perspectives (2016, background): “Furthermore, Maravelias & Sung (2009) discuss the integration of scheduling and planning, which involves longer time horizons; and Li & Ierapetritou (2008a) and Verderame et al. (2010) review approaches proposed for scheduling under uncertainty.”
• Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming (2019, background): “In recent years, mathematical programming techniques for decision making under uncertainty have gained tremendous popularity among the PSE community, as witnessed by various successful applications in process synthesis and design [9, 27], production scheduling and planning [7, 28], and process contr”