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首页> 外文期刊>International Journal of Production Research >A method of production fine layout planning based on self-organising neural network clustering
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A method of production fine layout planning based on self-organising neural network clustering

机译:基于自组织神经网络聚类的生产精细布局计划方法

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Organising and optimising production in small and medium enterprises with batch production and many different products can be very difficult due to high complexity of possible solutions. The paper presents a method of fine layout planning that rearranges production resources and minimises work and material flow transfer between production cells. The method is based on self-organising map clustering which organises the production cells into groups sharing similar product properties. The proposed method improves the internal layout of each cell with respect to a material flow diagram and a from-to matrix, and fine workspace positioning also considers various restrictions on placement, specifications and types of transportation. The method is particularly suitable for improving the existing layouts. The method was applied in the Slovenian company KGL d.o.o. and promising results were achieved. A reduction by more than 40% in the total transport length with respect to the current production layout was observed.
机译:由于可能的解决方案的复杂性,在具有批量生产和许多不同产品的中小型企业中组织和优化生产可能非常困难。本文提出了一种精细布局计划的方法,该方法可以重新排列生产资源并最大程度地减少生产单元之间的工作和物料流转移。该方法基于自组织地图聚类,该聚类将生产单元组织为共享相似产品属性的组。所提出的方法相对于材料流程图和从头到尾的矩阵改善了每个单元的内部布局,并且精细的工作空间定位还考虑了对放置,规格和运输类型的各种限制。该方法特别适合于改善现有布局。该方法已在斯洛文尼亚KGL d.o.o公司使用。并取得了可喜的成果。相对于当前的生产布局,总运输长度减少了40%以上。

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