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Clustering algorithm for solving group technology problem with multiple process routings

机译:求解多工艺路线群技术问题的聚类算法

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摘要

Cell formation is an important problem in the design of a cellular manufacturing system. Most of the cell formation methods in the literature assume that each part has a single process plan. However, there may be many alternative process plans for making a specific part, specially when the part is complex. Considering part multiple process routings in the formation of machine-part families in addition to other production data is more realistic and can produce more independent manufacturing cells with less intercellular moves between them. A new comprehensive similarity coefficient that incorporates multiple process routings in addition to operations sequence, production volumes, duplicate machines, and machines capacity is developed. Also, a clustering algorithm for machine cell formation is proposed. The algorithm uses the developed similarity coefficient to calculate the similarity between machine groups. The developed similarity coefficient showed more sensitivity to the intercellular moves and produced better machine grouping.
机译:细胞形成是细胞制造系统设计中的重要问题。文献中大多数细胞形成方法都假定每个部分都有一个单独的工艺计划。但是,可能会有许多替代工艺计划来制造特定零件,尤其是当零件很复杂时。除了其他生产数据外,在机械零件族的形成中考虑零件多工艺路线更为现实,并且可以生产出更多独立的制造单元,并且它们之间的胞间移动更少。开发了一种新的综合相似系数,除了操作顺序,生产量,重复机器和机器容量外,还包含多个工艺路线。此外,提出了一种用于机器单元形成的聚类算法。该算法使用开发的相似系数来计算机器组之间的相似度。所发展的相似系数显示出对细胞间运动的更高敏感性,并产生了更好的机器分组。

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