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http://dx.doi.org/10.7465/jkdi.2015.26.5.1117

Data analysis of 4M data in small and medium enterprises  

Kim, Jae Sung (Department of Management Information Systems, Chungbuk National University)
Cho, Wan Sup (Department of Management Information Systems, Chungbuk National University)
Publication Information
Journal of the Korean Data and Information Science Society / v.26, no.5, 2015 , pp. 1117-1128 More about this Journal
Abstract
In order to secure an important competitive advantage in manufacturing business, an automation and information system from manufacturing process has been introduced; however, small and medium enterprises have not met the power of information in the manufacturing fields. They have been managing the manufacturing process that is depending on the operator's experience and data written by hand, which has limits to reveal cause of defective goods clearly, in the case of happening of low-grade goods. In this study, we analyze critical factors which affect the quality of some manufacturing process in terms of 4M. We also studied the automobile parts processing of the small and medium manufacturing enterprises controlled with data written by hand so as to collect the data written by hand and to utilize sensor data in the future. Analysis results show that there is no deference in defective quantity in machines, while raw materials, production quality and task tracking have significant deference.
Keywords
Big data; database; small and medium manufacturing big data analysis; 4M analysis;
Citations & Related Records
Times Cited By KSCI : 5  (Citation Analysis)
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