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CTQ Table Extraction Method Using Social Network Analysis  

Kim, Seung Hee (Management Information Division, Korea Land & Housing Corporation)
Cho, Nam Wook (Department of Industrial and Information Systems Engineering, Seoul National University of Science and Technology)
Kim, Woo Je (School of Global Convergence of Industrial Engineering, Seoul National University of Science and Technology)
Abstract
The quality control of data is important element in data usage activations and decision makings. This paper is on how to extract the major critical data by each institution or organization selves. It proposes a social network analysis as a way to extract a table of high influence degree from a dynamic meta-data. The proposed CTQ data extraction method using SNA proved the fact that it is possible to extract highly accurate CTQ data by scientific measures of three-dimensional approach to real business situations without professional technicians. It is a new way that will change the goings on CTQ data management in IT sector and will improve the quality management level of an organization when applied to the real world.
Keywords
CTQ data; data quality management; Social network analysis; CTQ-DSMM; quality evaluation;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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