Linking Human Factors to Assess Human Reliability

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Linking Human Factors to Assess Human Reliability

Fruggiero, Fabio / Fera, Marcello / Lambiase, Alfredo / Di Pasquale, Valentina

This study proposes a methodological review and an illustrative example for the Human Reliability Analysis. The paper deals with work-related stress and It discusses about the role of humans into manufacturing systems over automation control. A causal loop methodology is used to report the dynamic responses over time of humans at work. The Causal Loop is arranged inside a main framework which includes multi criteria decisions about main and subsidiaries concepts that influence the work-stress and the operations management. We chose the mapping method using expert, seniors and workers judgments and we demonstrated its utility in supporting decision for strategic operational goals. Factors and variables from the Human, Team, Work, Environment behavior are considered and declined in constant, measurable and depended elements with their inter and intra level connections. Contextualization in a safety based approach is reported. Findings are discussed with regard to a manufacturing set in terms of reliability management. We identified and modelled critical influencing factors for human reliability at work while discussing about human robotic interaction.

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Document information

Title :

Linking Human Factors to Assess Human Reliability

Additional title:

Springer Proceedings in Advanced Robotics

Contributors:

Ferraguti, Federica (editor) / Villani, Valeria (editor) / Sabattini, Lorenzo (editor) / Bonfè, Marcello (editor) / Fruggiero, Fabio (author) / Fera, Marcello (author) / Lambiase, Alfredo (author) / Di Pasquale, Valentina (author)

Conference:

International Workshop on Human-Friendly Robotics ; 2019 ; Reggio Emilia, Italy October 24, 2019 - October 25, 2019

Published in:

Human-Friendly Robotics 2019 ; Chapter : 12 ; 154-185

Springer Proceedings in Advanced Robotics ; 12

Publication date :

2020-02-21

Size :

32 pages

ISBN :

978-3-030-42026-0 , 978-3-030-42025-3

ISSN :