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Optimization-based biomechanical lifting models for manual material handling: A comprehensive review.

Rahid Zaman1, Asif Arefeen1, Joel Quarnstrom1

  • 1School of Mechanical and Aerospace Engineering, Oklahoma State University, Stillwater, OK, USA.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of Engineering in Medicine
|July 26, 2022
PubMed
Summary

This survey reviews optimization-based biomechanical models for manual material handling (MMH) lifting tasks. These models aid in reducing lower back pain and improving ergonomic safety design.

Keywords:
Manual material handlingdigital human modelingequations of motionhuman modelliftinglower back injuryoptimization algorithmoptimization formulation

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Area of Science:

  • Biomechanics
  • Ergonomics
  • Occupational Safety

Background:

  • Manual material handling (MMH) involves frequent lifting tasks.
  • Lifting is a primary cause of lower back pain in occupational settings.
  • Existing research focuses on predicting lifting strategies and reducing injury risks.

Purpose of the Study:

  • To survey optimization-based biomechanical lifting models for MMH.
  • To review model classifications, optimization formulations, and algorithms.
  • To summarize applications in digital human modeling and injury prevention.

Main Methods:

  • Classification of lifting models into 2D/3D and skeletal/musculoskeletal types.
  • Review of optimization formulations, cost functions, and constraints for lifting simulations.
  • Summary of optimization algorithms (e.g., SQP, GA, PSO) and their application.

Main Results:

  • Optimization-based biomechanical models offer a framework for analyzing lifting.
  • Various models and optimization techniques are available for simulating lifting motions.
  • These models are applicable to digital human modeling, back injury prevention, and ergonomic design.

Conclusions:

  • Optimization-based biomechanical lifting models are crucial for understanding and mitigating MMH risks.
  • Further application of these models can enhance workplace safety and reduce musculoskeletal disorders.
  • This survey provides a comprehensive overview for researchers and practitioners in ergonomics and biomechanics.