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Complete and fractional cell formation using Kohonen self-organizing map networks in a cellular manufacturing system

机译:在细胞制造系统中使用Kohonen自组织图网络完成部分细胞的形成

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摘要

The primary objective of group technology (GT) is to enhance the productivity in batch manufacturing environment. The GT cell formation and fractional cell formation are done by using Kohonen self-organizing map (KSOM) networks. The effectiveness of the cell formation is measured with number of exceptional elements, bottleneck parts and grouping efficiency and the effectiveness of the fractional cell formation is measured by number of exceptional elements and the number of machines in the reminder cell. This method is applied to the known benchmarked problems found in the literature and it is found to be equal or best when compared to the other algorithms in terms of minimizing the number of the exceptional elements. The relative merits of using this method with respect to other known algorithms/heuristics in terms of computational speed and consistency are presented.
机译:组技术(GT)的主要目标是提高批生产环境中的生产率。通过使用Kohonen自组织图(KSOM)网络完成GT细胞的形成和部分细胞的形成。单元格形成的有效性通过例外元素的数量,瓶颈部分和分组效率来衡量,分数单元格形成的有效性通过例外元素的数量和提醒单元中机器的数量来度量。该方法适用于文献中已知的基准问题,与其他算法相比,在最小化例外元素数量方面,它是相等或最佳的。提出了在计算速度和一致性方面相对于其他已知算法/启发式方法使用此方法的相对优点。

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