State-of-the-art review of optimization methods for short-term scheduling of batch processes

By Carlos A. Méndez, Jaime Cerdá, Ignacio E. Grossmann, Iiro Harjunkoski, Marco Fahl. Computers and Chemical Engineering, 2006

806 citations recorded by the source corpus.

There has been significant progress in the area of short-term scheduling of batch processes, including the solution of industrial-sized problems, in the last 20 years. The main goal of this paper is to provide an up-to-date review of the state-of-the-art in this challenging area. Main features, strengths and limitations of existing modeling and optimization techniques as well as other available major solution methods are examined through this paper. We first present a general classification for scheduling problems of batch processes as well as for the corresponding optimization models. Subsequently, the modeling of representative optimization approaches for the different problem types are introduced in detail, focusing on both discrete and continuous time models. A comparison of effectiveness and efficiency of these models is given for two benchmarking examples from the literature. We also discuss two real-world applications of scheduling problems that cannot be readily accommodated using existing methods. For the sake of completeness, other alternative solution methods applied in the field of scheduling are also reviewed, followed by a discussion related to solving large-scale problems through rigorous optimization approaches. Finally, we list available academic and commercial software, and briefly address the issue of rescheduling capabilities of the various optimization approaches as well as important extensions that go beyond short-term batch scheduling.

Subfields: Control and Systems Engineering, Industrial and Manufacturing Engineering

View Paper: https://www.semanticscholar.org/paper/227e3f162480c54de81aa77eef79f4075ee4905d

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Citations in the corpus

Business Process Analysis and Optimization: Beyond Reengineering (2008, neutral): “A recent review comes from Mendez et al. [ 48 ] that present an extensive classification of scheduling problem types that demonstrates their great diversity.”
Enterprise-wide optimization for industrial demand side management: Fundamentals, advances, and perspectives (2016, methodology): “In general, one distinguishes between discrete- and continuous-time models, and there is a large body of work in the literature discussing different formulations and their strengths and limitations (Floudas & Lin, 2004; Méndez et al., 2006; Sundaramoorthy & Maravelias, 2011).”