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Modelling the effects of employee injury risks on injury, productivity and production quality using system dynamics.

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Title: Modelling the effects of employee injury risks on injury, productivity and production quality using system dynamics.
Authors: Farid, Mashal1 (AUTHOR), Neumann, W. Patrick1 (AUTHOR) pneumann@ryerson.ca
Source: International Journal of Production Research. Oct2020, Vol. 58 Issue 20, p6115-6129. 15p. 2 Charts, 6 Graphs.
Subjects: System dynamics, Scientific literature, Lumbar pain, Injury risk factors, Back injuries
Abstract: The aim of the current study is to explore the use of system dynamics (SD) modelling as a tool to examine the impacts of human factors in production on worker low back injury, productivity and quality performance parameters. The SD model was created using relationships in the scientific literature. This data supplemented with input from both a quality and a safety manager in an automotive plant, who also reviewed the resulting causal loop diagrams. Results showed that, over the 5-year simulation period of the base model, percentage of operators reporting low back pain increased from ∼0% to 1.3%, human error rates increased by 40%, and production rate dropped by 0.2%. This example model addressed three risk factors for a single injury type – and is therefore an underestimate of total system impacts of poor HF. While the extension of the model is needed, the current example highlights a cautionary point for managers and designers who may not see an immediate impact of a poor design but may face increased injury, quality and productivity problems over time. This novel application of SD modelling can help isolate and quantify these effects. [ABSTRACT FROM AUTHOR]
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Modelling the effects of employee injury risks on injury, productivity and production quality using system dynamics.
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  Data: <searchLink fieldCode="AR" term="%22Farid%2C+Mashal%22">Farid, Mashal</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Neumann%2C+W%2E+Patrick%22">Neumann, W. Patrick</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> pneumann@ryerson.ca</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Production+Research%22">International Journal of Production Research</searchLink>. Oct2020, Vol. 58 Issue 20, p6115-6129. 15p. 2 Charts, 6 Graphs.
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  Data: <searchLink fieldCode="DE" term="%22System+dynamics%22">System dynamics</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+literature%22">Scientific literature</searchLink><br /><searchLink fieldCode="DE" term="%22Lumbar+pain%22">Lumbar pain</searchLink><br /><searchLink fieldCode="DE" term="%22Injury+risk+factors%22">Injury risk factors</searchLink><br /><searchLink fieldCode="DE" term="%22Back+injuries%22">Back injuries</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: The aim of the current study is to explore the use of system dynamics (SD) modelling as a tool to examine the impacts of human factors in production on worker low back injury, productivity and quality performance parameters. The SD model was created using relationships in the scientific literature. This data supplemented with input from both a quality and a safety manager in an automotive plant, who also reviewed the resulting causal loop diagrams. Results showed that, over the 5-year simulation period of the base model, percentage of operators reporting low back pain increased from ∼0% to 1.3%, human error rates increased by 40%, and production rate dropped by 0.2%. This example model addressed three risk factors for a single injury type – and is therefore an underestimate of total system impacts of poor HF. While the extension of the model is needed, the current example highlights a cautionary point for managers and designers who may not see an immediate impact of a poor design but may face increased injury, quality and productivity problems over time. This novel application of SD modelling can help isolate and quantify these effects. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/00207543.2019.1667040
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      – Code: eng
        Text: English
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        PageCount: 15
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      – SubjectFull: System dynamics
        Type: general
      – SubjectFull: Scientific literature
        Type: general
      – SubjectFull: Lumbar pain
        Type: general
      – SubjectFull: Injury risk factors
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      – SubjectFull: Back injuries
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              Text: Oct2020
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