Designing optimal timing and sequencing strategies for a continuous steel foundry

Author

De Schutter, B.

Author_Institution

Control Lab., Delft Univ. of Technol., Delft, Netherlands

fYear

1999

fDate

Aug. 31 1999-Sept. 3 1999

Firstpage

300

Lastpage

304

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control Conference (ECC), 1999 European

Conference_Location

Karlsruhe

Print_ISBN

978-3-9524173-5-5

Type

conf

Filename

7099318