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Factors determining workers' pace while conducting continuous sequential lifting, carrying, and lowering tasks.

Yaar Harari1, Raziel Riemer2, Avital Bechar3

  • 1Department of Industrial Engineering and Management, Ben-Gurion University of the Negev, Beer Sheva, Israel; Institute of Agricultural Engineering, Agricultural Research Organization, Bet Dagan, Israel.

Applied Ergonomics
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Summary

New models accurately predict manual material handling task times for heavy objects (over 2kg). Workplace design, including weight and height, significantly impacts task duration, improving upon existing methods like MOST and MTM-1.

Keywords:
Manual material handlingTime prediction modelsWorkplace design

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Area of Science:

  • Ergonomics
  • Industrial Engineering
  • Occupational Safety

Background:

  • Accurate time prediction is crucial for planning manual material handling (MMH) work processes.
  • Existing time prediction models are unreliable for objects exceeding 2 kg.

Purpose of the Study:

  • To investigate the impact of workplace design on MMH tasks involving heavy loads (2-14 kg).
  • To develop improved time prediction models for MMH tasks.

Main Methods:

  • Conducted laboratory and field experiments on sequential lifting, carrying, and lowering of boxes.
  • Investigated the influence of box weight, lifting/lowering heights, and task sequencing.
  • Developed new time prediction models based on experimental data.

Main Results:

  • Box weight and lifting/lowering heights were significant factors influencing task times.
  • Task performance was affected by preceding and succeeding tasks in the work process.
  • New models demonstrated superior accuracy compared to MOST (42%) and MTM-1 (20%).

Conclusions:

  • Workplace design parameters critically affect MMH task times, especially with heavier objects.
  • The developed models provide more accurate predictions for real-world MMH scenarios.
  • These findings support the creation of safer and more efficient MMH work processes.