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

Naeini, Alimeh Mofidi and 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 : 8.

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Item Type:	Peer reviewed article published in a journal
Additional Information:	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.
Professor:	Professor Nadeau, Sylvie
Affiliation:	Génie mécanique
Date Deposited:	26 Jan 2023 23:36
Last Modified:	13 Feb 2025 18:53
URI:	https://espace2.etsmtl.ca/id/eprint/26144

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