인문학
사회과학
자연과학
공학
의약학
농수해양학
예술체육학
복합학
DBpia AI
AI 에이전트
AI 아이디어
AI 리더
AI 뷰어
Citeasy
크롬 서지관리 다운로드
지원사업
학술연구/단체지원/교육 등 연구자 활동을 지속하도록 DBpia가 지원하고 있어요.
커뮤니티
연구자들이 자신의 연구와 전문성을 널리 알리고, 새로운 협력의 기회를 만들 수 있는 네트워킹 공간이에요.
피인용 0
초록·키워드
The food manufacturing industry is confronted with the dual challenge of ensuring the safety of both the product and the laborer in the context of rapid automation and process digitalization. Although hygienic design and smart monitoring systems have improved the control of microbial and chemical hazards, they have also introduced new occupational risks, such as entrapment and exposure during cleaning and maintenance. This paper proposes a dual safety paradigm that integrates hygienic and industrial safety perspectives within the same design and management framework. Through an analysis of domestic and global trends, the study emphasizes the necessity of integrated safety- by-design principles, AI-driven hazard prediction, and standardized safety data systems that link product and process safety metrics. By promoting the convergence of food safety and occupational safety management, this approach aims to establish a sustainable foundations for safer manufacturing environments and more resilient food production systems standardized safety data systems that link product and process safety metrics. By promoting the convergence of food safety and occupational safety management, this approach aims to establish a sustainable foundations for safer manufacturing environments and more resilient food production systems.
본문·목차
인공지능 문자 인식 모델을 통해 추출된 텍스트로, 일부 오타나 오류가 포함될 수 있으나 지속적으로 개선 중입니다.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
오류를 발견하셨다면 해당 부분을 드래그한 후 ' 를 통해 신고해주세요.
최근 본 자료 전체보기
UCI(KEPA) : I410-151-26-02-095636350
