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Genetic Algorithm Rolling Mill Layout Optimization

delete2013-07-03
delete14
PRE
AI
M
Miha Kovačić *
U
Urban Rožej
DOI:10.1080/10426914.2012.718475delete
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Abstract

Abstract

En 中文
Store Steel Ltd. is a small flexible steel plant in Slovenia. In 2010, the new continuous rolling mill, which has a technical capacity of 250,000tons per year, was installed. The new continuous rolling mill, which entailed a corresponding reduction in space, required an urgent relocation of machinery. The genetic algorithm was used for the optimal rearranging of the machinery. Two-dimensional or three-dimensional representation of the machines without any kind of geometrical restrictions can be used in the proposed genetic algorithm. The layout efficiency after machinery relocation could be increased by 58.1%, but due to spatial, financial, and practical constraints, the layout efficiency is only 13.58% higher.
Keywords:
Genetic algorithm
Layout optimization
Rolling mill plant
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M
Materials and Manufacturing Processes
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University of Nova Gorica
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