Ergonomic assessment of snow shovels using digital human modeling

Carly Wolkiewicz, Katherine Collins, Faisal Aqlan, Osama T. Al Meanazel

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


Snow shoveling can cause ergonomic risks to the back and shoulders and result in musculoskeletal disorders (MSDs). The design of snow shovels should make snow removal easier and less strenuous. This study utilizes Digital Human Modeling (DHM) to assess the ergonomic risks associated with the snow shoveling process. Several designs for the shovels were created using Computer Aided Design (CAD) software. Statistical analysis was used to study the different factors associated with the shoveling process such as shovel design, gender, and body mass index (BMI). The results provide recommendations for avoiding ergonomic risks and selecting the proper snow shovels.

Original languageEnglish (US)
Pages (from-to)1146-1153
Number of pages8
JournalProceedings of the International Conference on Industrial Engineering and Operations Management
Issue numberSEP
StatePublished - Jan 1 2018
Event3rd North American IEOM Conference. IEOM 2018 -
Duration: Sep 27 2018Sep 29 2018

All Science Journal Classification (ASJC) codes

  • Strategy and Management
  • Management Science and Operations Research
  • Control and Systems Engineering
  • Industrial and Manufacturing Engineering


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