使用模拟退火和数据挖掘创建备选布局规划

Melda Kokoç, A. Aktepe, S. Ersöz
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引用次数: 0

摘要

通过对文献研究的回顾,可以发现解决设施布局问题的方法各不相同。布局中各部门之间的关系总是很重要的。本研究采用数据挖掘技术对部门之间的关系进行分析,得到关联规则。确定设施部门之间的密切关系通常是模糊的,需要专家意见。在这种情况下,在设施布局问题中出现了模糊成分。因此,模糊逻辑被广泛用于解决模棱两可的问题。利用去模糊化方法将关联规则转换为清晰值,用于解决设施布局问题。设施布局问题被认为是NP-Hard(不确定性-多项式- hard)优化问题。也就是说,定解方法在求解大规模问题实例时受到限制。由于启发式方法经常用于改进布局,本研究采用模拟退火方法。为了改进设施布局规划,用Visual Basic 2012编写了模拟退火方法。综上所述,采用备选布置图,改进效果达到17%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Creating alternative layout plans with simulated annealing and data mining
When studies in literature are examined, it is seen that different approaches have been used to solve facility layout problems. The relationship between departments in layout is always important. In this study, data mining technique is used for analyzing relations among departments and then association rules are obtained. Determining closeness relationships between the departments in facility are often ambiguous and require expert opinions. In such cases, a fuzzy component emerges in the facility layout problem. Hence, fuzzy logic is widely used to address ambiguous problems. Association rules is converted by using defuzzification approach to crisp values used facility layout problem solution in this study. Facility layout problems are considered to be NP-Hard (Nondeterministic-Polynomial-Hard) optimization problems. That is, definite solution approaches are limited in solving large-scale problem examples. For heuristic approaches are frequently used to improve the layout, simulated annealing approach is used in this study. To improve facility layout planning, simulated annealing approach is carried out via code written in Visual Basic 2012. In conclusion, 17% improvement is achieved with alternative layout plan obtained.
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