Proposed integrated FRAM/STPA risk analysis of data gloves in assembly 4.0 system

Naeini, Alimeh Mofidi et Nadeau, Sylvie. 2023. « Proposed integrated FRAM/STPA risk analysis of data gloves in assembly 4.0 system ». Robotics and Computer-Integrated Manufacturing, vol. 81.
Compte des citations dans Scopus : 5.

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Type de document:	Article publié dans une revue, révisé par les pairs
Informations complémentaires:	Vidéo : https://www.youtube.com/watch?v=lMQtC7kyi2Y The rapid advancement of Industry 4.0 increases interactions among humans, technologies, and organizations, resulting in greater complexity and new challenges. Traditional risk assessment methods may fail to identify all factors influencing system safety, necessitating innovative approaches. This study explores the use of the Functional Resonance Analysis Method (FRAM) and the Systems-Theoretic Accident Model and Processes (STAMP) in assembly 4.0 contexts to enhance occupational health and safety (OHS) and operational risk analysis. STAMP offers a detailed examination of system components, while FRAM provides a broader view of their interconnections. By integrating these two methods, the proposed FRAM/STAMP approach leverages their strengths to address their individual shortcomings. This novel framework aims to improve risk analysis in assembly 4.0 systems, particularly during the design phase, ensuring safer interactions between humans and machines in the workplace.
Professeur:	Professeur Nadeau, Sylvie
Affiliation:	Génie mécanique
Date de dépôt:	26 janv. 2023 23:36
Dernière modification:	13 févr. 2025 18:53
URI:	https://espace2.etsmtl.ca/id/eprint/26144

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