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Computer-Aided Occupational Risk Assessment of Physical Workload in the Logistics 4.0

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Advances in Human Factors, Business Management and Leadership (AHFE 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 961))

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Abstract

Background: The fourth industrial revolution entails many changes, e.g. in logistics, needed employees’ skills. Current society is also changing, because of increasing life expectancy, globalization. The non-simultaneous modernization, caused by different economic situation in every country, needs agile and adequate solutions to protect health and safety of employees. Objectives: To overview the methods of assessing physical workload with emphasis on the suitability for intralogistics tasks in the context of Industry 4.0, Logistics 4.0 and following demographical changes. Methods: A critical review of the literature currently available on this topic. Results: There are many methods adjusted to assess physical workload of intralogistics workers besides of the one dedicated them. Only a few of them are implemented in computer applications based on DHM. Several allow modeling different populations.

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Notes

  1. 1.

    http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=migr_emi1ctz&lang=en.

  2. 2.

    http://appsso.eurostat.ec.europa.eu/nui/show.do?dataset=migr_imm1ctz&lang=en.

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Author information

Authors and Affiliations

  1. Faculty of Management and Production Engineering, Lodz University of Technology, Wolczanska 215, 90-924, Lodz, Poland

    Anna Maczewska, Aleksandra Polak-Sopinska & Zbigniew Wisniewski

Authors
  1. Anna Maczewska
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  2. Aleksandra Polak-Sopinska
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  3. Zbigniew Wisniewski
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Corresponding author

Correspondence to Aleksandra Polak-Sopinska .

Editor information

Editors and Affiliations

  1. Department of Production, University of Vaasa, Vaasa, Finland

    Jussi Ilari Kantola

  2. University of South-Eastern Norway, Borre, Norway

    Salman Nazir

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Maczewska, A., Polak-Sopinska, A., Wisniewski, Z. (2020). Computer-Aided Occupational Risk Assessment of Physical Workload in the Logistics 4.0. In: Kantola, J., Nazir, S. (eds) Advances in Human Factors, Business Management and Leadership. AHFE 2019. Advances in Intelligent Systems and Computing, vol 961. Springer, Cham. https://doi.org/10.1007/978-3-030-20154-8_35

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  • DOI: https://doi.org/10.1007/978-3-030-20154-8_35

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