Title :
Designing optimal timing and sequencing strategies for a continuous steel foundry
Author_Institution :
Control Lab., Delft Univ. of Technol., Delft, Netherlands
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
In this paper we consider a typical case study of a continuous steel making process. More specifically, we consider the part of a steel plant consisting of the furnace, the secondary steel making units and the continuous caster. First we write down a model for the evolution of the system. Then we develop some techniques to design (sub)optimal timing and sequencing schemes for this system. The methods we use include a mixture of linear programming, genetic algorithms, tabu search and heuristics.
Keywords :
casting; foundries; furnaces; genetic algorithms; linear programming; scheduling; search problems; steel industry; steel manufacture; timing; continuous steel foundry; continuous steel making process; genetic algorithms; linear programming; optimal sequencing strategies; optimal timing strategies; steel making units; steel plant; suboptimal sequencing schemes; suboptimal timing schemes; tabu search; Converters; Genetic algorithms; Graphical user interfaces; Linear programming; Sequential analysis; Steel; Timing; genetic algorithms; optimal sequencing; optimal timing; tabu search;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5
