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Open AccessFeature PaperArticle

Optimization-Based Scheduling for the Process Industries: From Theory to Real-Life Industrial Applications

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Department of Chemical Engineering, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
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Chemical Process and Energy Resources Institute (CPERI), Centre for Research and Technology Hellas (CERTH), P.O. Box 60361, 57001 Thessaloniki, Greece
*
Author to whom correspondence should be addressed.
Processes 2019, 7(7), 438; https://doi.org/10.3390/pr7070438
Received: 27 May 2019 / Revised: 2 July 2019 / Accepted: 4 July 2019 / Published: 10 July 2019
Scheduling is a major component for the efficient operation of the process industries. Especially in the current competitive globalized market, scheduling is of vital importance to most industries, since profit margins are miniscule. Prof. Sargent was one of the first to acknowledge this. His breakthrough contributions paved the way to other researchers to develop optimization-based methods that can address a plethora of process scheduling problems. Despite the plethora of works published by the scientific community, the practical implementation of optimization-based scheduling in industrial real-life applications is limited. In most industries, the optimization of production scheduling is seen as an extremely complex task and most schedulers prefer the use of a simulation-based software or manual decision, which result to suboptimal solutions. This work presents a comprehensive review of the theoretical concepts that emerged in the last 30 years. Moreover, an overview of the contributions that address real-life industrial case studies of process scheduling is illustrated. Finally, the major reasons that impede the application of optimization-based scheduling are critically analyzed and possible remedies are discussed. View Full-Text
Keywords: process scheduling; optimization; process system engineering; mixed-integer programming process scheduling; optimization; process system engineering; mixed-integer programming
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Georgiadis, G.P.; Elekidis, A.P.; Georgiadis, M.C. Optimization-Based Scheduling for the Process Industries: From Theory to Real-Life Industrial Applications. Processes 2019, 7, 438.

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