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Optimization-Based Scheduling for the Process Industries: From Theory to Real-Life Industrial Applications
- Source :
- Processes, Volume 7, Issue 7, Processes, Vol 7, Iss 7, p 438 (2019)
-
Abstract
- 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.
- Subjects :
- mixed-integer programming
Computer science
business.industry
Process Chemistry and Technology
Scheduling (production processes)
Bioengineering
02 engineering and technology
lcsh:Chemical technology
010402 general chemistry
01 natural sciences
0104 chemical sciences
lcsh:Chemistry
Software
lcsh:QD1-999
020401 chemical engineering
Risk analysis (engineering)
process scheduling
process system engineering
Profit margin
Chemical Engineering (miscellaneous)
lcsh:TP1-1185
0204 chemical engineering
business
Integer programming
optimization
Subjects
Details
- Language :
- English
- ISSN :
- 22279717
- Volume :
- 7
- Issue :
- 7
- Database :
- OpenAIRE
- Journal :
- Processes
- Accession number :
- edsair.doi.dedup.....f7f4aa59f9b82a7590367d34548e5d14
- Full Text :
- https://doi.org/10.3390/pr7070438