WSEAS Transactions on Information Science and Applications
Print ISSN: 1790-0832, E-ISSN: 2224-3402
Volume 21, 2024
HVLV-Motor-KC: Production Efficiency of HVLV Motor Classification using K-means Clustering
Authors: , , , , , ,
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Abstract: This paper aims to introduce the K-means clustering algorithm to complement the Group Technology (GT) methodology as part of a multi-product, low-volume production system. This challenge aims to overcome the limitations of the GT methodology and optimize the production schedule to increase efficiency. We propose a high-variation, low-volume K-means clustering (HVLV-Motor-KC) algorithm, which is a K-means clustering algorithm that focuses on high-variety, low-volume data. This algorithm helps to optimize production by placing motors with similar characteristics in the same cluster.
Keywords:
Group Technology, HVLV Production, K-means Clustering, Hierarchical Clustering, Silhouette Score
Pages: 488-498
DOI: 10.37394/23209.2024.21.44