Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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A Characteristic Analysis for Quality Competitiveness Excellent Company

품질경쟁력 우수기업의 특성분석

  • Park, Dong Joon (Department of Statistics, Pukyong National University) ;
  • Yun, Yeboon (Department of Urban Applied Systems Engineering, Kansai University) ;
  • Kang, In Seon (Department of Industrial Engineering, Jeonju University) ;
  • Yoo, Eun Jae (Korean Standards Association) ;
  • Kim, Ho Gyun (Department of Production and Information Technology Engineering, Dong-Eui University) ;
  • Yoon, Min (Department of Applied Mathematics, Pukyong National University)
  • Received : 2019.09.04
  • Accepted : 2019.09.26
  • Published : 2019.09.30
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Abstract

Quality management has become an pervasive philosophy in most sectors of business. Specific movements such as statistical quality control, quality circle, total quality management, and quality management system have become embedded in business organizations. Only the companies with competitive edge can survive in the competition in global market. KSA(Korean Standards Association) established in 1962 has launched all kinds of quality education, quality standard certification service for business, and KNQA(Korean National Quality Award) system. This article considers quality competitiveness excellent company award among KNQA. We performed a statistical analysis of audit data for quality competitiveness excellent company for three years, from 2015 to 2017. By using ANOVA and two sample t-tests, the average scores of 13 evaluation fields were significantly different depending on company size and type. We proposed ways to improve the current hall of fame system. We discovered that the average scores of 13 evaluation fields in the audit data according to years and hall of fame status were not significantly different. We also showed linear relationships among 13 evaluation fields by correlation analysis and obtained an estimated linear regression equation : Business Performance, which is a comprehensive index, as a dependent variable was significantly related to Customer Focus and Product Liability as regressor variables among 13 evaluation fields by regression analysis.

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