Genetic Algorithm Rolling Mill Layout Optimization

doi:10.1080/10426914.2012.718475

2013-07-03

PRE

Miha Kovačić *

Urban Rožej

DOI：10.1080/10426914.2012.718475

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摘要

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.

Keyword:

Genetic algorithm

Layout optimization

Rolling mill plant

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期刊

Materials and Manufacturing Processes

IF:

4.7

论文数:

4.6K

被引数:

9.3K

机构

University of Nova Gorica

学者数:

865

论文数: 767

被引数: 1.5K

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