A new robust optimization approach for scheduling under uncertainty: : I. Bounded uncertainty

By Xiaoxia Lin, Stacy L. Janak, Christodoulos A. Floudas. Computers and Chemical Engineering, 2004

366 citations recorded by the source corpus.

Subfields: Control and Systems Engineering

View Paper: https://www.semanticscholar.org/paper/6d398aaa305cb1df28896b5279cb7882717cf125

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. Christodoulos A. Floudas
2. Xiaoxia Lin
3. Ignacio E. Grossmann
4. Qi Zhang
5. Ruth Misener
6. Marianthi G. Ierapetritou
7. Zukui Li
8. Arnold Neumaier

Citations in the corpus

• Enterprise-wide optimization for industrial demand side management: Fundamentals, advances, and perspectives (2016, methodology): “In recent years, robust optimization has also been applied by the PSE community, mainly to production scheduling problems (Lin et al., 2004; Janak et al., 2007; Li & Ierapetritou, 2008b; Verderame & Floudas, 2009; Mitra et al., 2012b; Vujanic et al., 2012; Amaran et al., 2016) involving uncertainty ”
• Continuous-time versus discrete-time approaches for scheduling of chemical processes: a review (2004, background): “Recently, Lin, Janak, and Floudas (2004) proposed a new robust optimization framework for scheduling general batch processes under uncertainty using a continuous-time MILP formulation.”