Assessment of Manual Material Handling Based on Key Indicators: German Guidelines

Steinberg, Ulf; Caffier, G; Liebers, Falk

doi:10.1201/9780429189890-22

Cited by 5 publications

(1 citation statement)

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“…Um destes métodos é o Key Indicator Method (KIM) (Anexo 1). O Key Indicator Method (KIM) (Cafier, 2007); (Steinberg U. C., 2006); (Steinberg U. B., 2007) foi desenvolvido pelo Federal Institute for Occupational Safety and Health (Bundesanstalt für Arbeitschutz und Arbeitsmedizin -BAuA) e pelo Regional Committee of Occupational Tal como outros métodos baseados em indicadores chave, este contempla uma descrição objetiva das exigências do trabalho em análise, bem como do esforço e razões que provoquem uma sobrecarga física.…”

Section: Introductionunclassified

International Symposium on Occupational Safety and Hygiene: Proceedings Book of the SHO2020

2020

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Com a ocorrência da Pandemia provocada pelo novo coronavírus SARS-CoV-2, causador da doença Covid-19, a Sociedade Portuguesa de Segurança e Higiene Ocupacionais viu-se obrigada a efetuar uma série de alterações no planeamento inicial da 16ª edição do Colóquio Internacional de Segurança e Higiene Ocupacionais - SHO 2020. Inicialmente prevista para os dias 8 e 9 de Abril na Faculdade de Medicina da Universidade do Porto, o SHO 2020 foi adiado para os dias 16 e 17 de Julho de 2020 numa edição on line. No entanto, apesar de todas estas alterações, procurou-se manter toda a estrutura habitual do Colóquio. A edição de 2020 abrange as temáticas tradicionais da Segurança contra Incêndio, da Gestão da Prevenção, dos Riscos Químicos e Biológicos, da Ergonomia e do Ambiente Físico. Nas sessões plenárias, para além destas temáticas são abordadas áreas emergentes associadas à 4ª revolução industrial e aos novos desafios que acarreta.

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Section: Introductionunclassified

International Symposium on Occupational Safety and Hygiene: Proceedings Book of the SHO2020

2020

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Ergonomics risk assessment with digital human models in car assembly: Simulation versus real life

Fritzsche¹

2010

Hum Ftrs & Erg Mfg Svc

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This study investigated how well ergonomics risk assessments on simulations with digital human models (DHM) match real-life assessments obtained on a car assembly line. Two ergonomists evaluated 20 work tasks in real life and as a DHM simulation using a company-specific version of the Automotive Assembly Worksheet (AAWS) for assessing static postures, action forces, manual material handling, and extra strains. Results demonstrate that DHM simulations provide good estimations of the workload in real-life tasks. Additionally, significant correlations were found between AAWS risk assessments and subjectively perceived exertion measured on the Borg scale. Yet, there were also some significant differences in AAWS risk classification and AAWS total scores. DHM simulations appear helpful for reliably detecting static postures and extra strains, whereas action forces are harder to estimate than in real life. It is suggested that comprehensive methods such as AAWS should be incorporated in DHM software for enhancing efficiency and validity of digital ergonomics risk assessment. C 2010 Wiley Periodicals, Inc.

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Evaluation of Ergonomic Risk of Warehouse Activities in a Telecommunications Sector Company

Fernandes

Monteiro

Carneiro

et al. 2021

Studies in Systems, Decision and Control

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Assessment of Manual Material Handling Based on Key Indicators: German Guidelines

Cited by 5 publications

References 0 publications

International Symposium on Occupational Safety and Hygiene: Proceedings Book of the SHO2020

International Symposium on Occupational Safety and Hygiene: Proceedings Book of the SHO2020

Ergonomics risk assessment with digital human models in car assembly: Simulation versus real life

Evaluation of Ergonomic Risk of Warehouse Activities in a Telecommunications Sector Company

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