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http://dx.doi.org/10.15207/JKCS.2020.11.9.219

Cluster analysis of companies introducing smart factory based on 6-domain smart factory maturity assessment model  

Jeong, Doorheon (Dept. Management Information Systems, Chungbuk National University)
Ahn, Junghyun (Dept. Bigdata, Chungbuk National University)
Choi, Sanghyun (Dept. Management Information Systems, Chungbuk National University)
Publication Information
Journal of the Korea Convergence Society / v.11, no.9, 2020 , pp. 219-227 More about this Journal
Abstract
Smart Factory is one of the fastest developing and changing fourth industrial revolution fields. In particular, the degree of introduction and maturity level in the smart factory is an important part. In this paper, a cluster analysis of companies introduced smart factory was performed based on a new maturity assessment model. The 68% of 193 companies surveyed were at the basic level, with only 21% being the middle one. Most SMEs cited lack of funds as the main reason for not entering the middle one. As a result of the cluster analysis, it was found that all clusters had similar patterns but grouped into one of three levels of high, middle, and low depending on maturity level of smart factory operation, and process domain had the highest maturity and data domain was lowest among the 6 domains. Through this, analysis of more specific and quantified maturity levels can be performed using 6-domain smart factory maturity evaluation model.
Keywords
Smart Factory; Maturity Level; Status Analysis; Cluster Analysis; Organization Analysis;
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Times Cited By KSCI : 4  (Citation Analysis)
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