메뉴 건너뛰기
.. 내서재 .. 알림
소속 기관/학교 인증
인증하면 논문, 학술자료 등을  무료로 열람할 수 있어요.
한국대학교, 누리자동차, 시립도서관 등 나의 기관을 확인해보세요
(국내 대학 90% 이상 구독 중)
로그인 회원가입 고객센터 ENG
주제분류

추천
검색

논문 기본 정보

자료유형
학술저널
저자정보
조남준 (연세대학교 기술정책협동과정) 지용구 (연세대학교 정보산업공학과)
저널정보
한국안전학회 한국안전학회지 한국안전학회지 제31권 제4호
발행연도
2016.1
수록면
126 - 135 (10page)

이용수

표지
📌
연구주제
📖
연구배경
🔬
연구방법
🏆
연구결과
AI에게 요청하기
추천
검색

초록· 키워드

오류제보하기
The purpose of this study is to develop risk assessment techniques and institutional analysis of domestic and international, the management techniques that can efficiently manage the harmful factor of the laboratory and to present the institutional measures that can be efficiently implemented. Due to a variety of adverse factors of laboratory, accidents of laboratory of various forms have occurred, but there is no risk assessment system in order to manage this effectively. So, we investigated this domestic existing risk assessment methods and the outside of the risk assessment system, and also analyzed accidents of domestic laboratory that occurred in 2014. In addition, we targeted the 24 laboratories in 21 universities to investigate the management of harmful factors of the laboratory and performed applying test for 12 domestic laboratories. Existing risk evaluation system, such as PMS, SMS, off-site impact assessment, since the industrial site is the subject, is a difficult problem to be directly applied to the laboratory of the research institute. So, we implemented management status and harmful factors survey and classified the research and development activities based on this data. Finally we developed "pre-hazards risk analysis method" to create each of the safety management measures. In addition, research activities personnel conducted voluntarily risk assessment, which is shared by institutions and government. It is presented the institutional system for safety management of laboratory. Its result, pre-hazards risk analysis method and institutionalization scheme will be able to achieve laboratory accident prevention system.

목차

등록된 정보가 없습니다.

참고문헌 (11)

참고문헌 신청

함께 읽어보면 좋을 논문

논문 유사도에 따라 DBpia 가 추천하는 논문입니다. 함께 보면 좋을 연관 논문을 확인해보세요!

이 논문의 저자 정보

최근 본 자료

전체보기

댓글(0)

0