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

被引:48
作者
Georgiadis, Georgios P. [1 ,2 ]
Elekidis, Apostolos P. [1 ,2 ]
Georgiadis, Michael C. [1 ,2 ]
机构
[1] Aristotle Univ Thessaloniki, Dept Chem Engn, Thessaloniki 54124, Greece
[2] Ctr Res & Technol Hellas CERTH, CPERI, POB 60361, Thessaloniki 57001, Greece
基金
欧盟地平线“2020”;
关键词
process scheduling; optimization; process system engineering; mixed-integer programming; CONTINUOUS-TIME FORMULATION; MULTIPRODUCT BATCH PLANTS; INTEGER PROGRAMMING-MODELS; TASK NETWORK FORMULATION; SHORT-TERM; MIXED-INTEGER; MILP MODEL; DECOMPOSITION TECHNIQUES; SEMICONTINUOUS PLANTS; GENERAL ALGORITHM;
D O I
10.3390/pr7070438
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
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.
引用
收藏
页数:35
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