대한안전경영과학회지 (Journal of the Korea Safety Management & Science)

  • 제21권3호
  • /
  • Pages.11-16
  • /
  • 2019
  • /
  • 1229-6783(pISSN)
  • /
  • 2288-1484(eISSN)
대한안전경영과학회 (Korea Safety Management & Science)
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텍스트 마이닝 기법을 통한 제품 인자 검증 및 안전 관리 연구

A Study on the Product Factor Verification and Process Management and Safety Using the Text mining

  • 정철규 (인하대학교 산업경영공학과) ;
  • 이창호 (인하대학교 산업경영공학과)
  • 투고 : 2019.08.16
  • 심사 : 2019.09.18
  • 발행 : 2019.06.30
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초록

The latest issue is the smart factory. In order to implement this smart factory, the most fundamental element is to establish product specifications for factors affecting the product, obtain useful data to analyzed and predicted, and maintain safety. But most manufacturers have many errors. Therefore, the purpose of this study is to verify factors of product through statistical techniques and to study the process control and safety.

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참고문헌

  1. Eun Young Kim, Mun Su Park(2018), "A Study on The Limits of Manufacturing Innovation and Policy Direction of Smes in the 4Th Industrial Revolution: Focusing on the Limitations and Examples of Pohang Smes Smart Factory Introduction." Journal of Science & Technology Studies, 18(2):269-306.
  2. Seoung Bum Kim, Seong Hyeon Kang(2016), "The Fourth Industrial Revolution Leading Data Science." Ie Magazine, 9-13.
  3. Chang Soon Park, Jae Heon Lee(2014), "Statistical Process Control." Freeacademy, p.2.
  4. Jong Hwa Nam(2017), "Applied Multivariate Analysis." Freeacademy, 141-151.
  5. Kyoo Sung Noh, Jin Hwa Kim, Seong Taek Park(2016), "Big Data Analytics for Business." p. 149, 160.