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Optimization of Productivity and Worker Well-Being by Using a Multi-Objective Optimization Framework.

Aitor Iriondo Pascual1, Dan Högberg1, Dan Lämkull2

  • 1School of Engineering Science, University of Skövde, Skövde, Sweden.

IISE Transactions on Occupational Ergonomics and Human Factors
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Summary
This summary is machine-generated.

This study introduces a new framework and digital tool to help design production lines that balance worker well-being and productivity. It addresses limitations in current tools by incorporating musculoskeletal disorder risks and workforce diversity.

Keywords:
Ergonomicsdigital human modelingoptimizationproductivitysimulation

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Area of Science:

  • Ergonomics and Human Factors Engineering
  • Industrial Engineering
  • Occupational Health and Safety

Background:

  • Current production line design tools often neglect worker well-being, focusing solely on productivity metrics like line balancing and cycle time.
  • Existing practices fail to address the risk of musculoskeletal disorders and do not account for anthropometric diversity within the workforce.
  • The potential of multi-objective simulation-based optimization techniques is underutilized in current industrial design processes.

Purpose of the Study:

  • To develop a framework and digital tool for the proactive design of workstations.
  • To concurrently consider both worker well-being and productivity in the design of production lines.
  • To leverage advanced optimization techniques for efficient workplace design solutions.

Main Methods:

  • Development of a novel framework integrating a workflow and a digital tool.
  • Implementation of multi-objective simulation-based optimization techniques.
  • Validation through a case study demonstrating the framework's application.

Main Results:

  • The framework successfully integrates productivity and worker well-being considerations.
  • The digital tool facilitates quicker identification of optimal workstation designs.
  • The case study demonstrated the practical applicability and effectiveness of the proposed approach.

Conclusions:

  • The developed framework offers a significant advancement over traditional production line design methods.
  • Proactive workstation design considering both well-being and productivity is achievable with advanced tools.
  • This approach supports the creation of healthier and more efficient work environments.