PLOT: A Plant-Layout Organizational Tool Software Based on Fatigue Failure Theory for MSD Control and Mitigation

Work-related musculoskeletal disorders (MSDs) remain a leading source of workplace injuries and reduced productivity. While validated ergonomic tools like LiFFT, DUET, and the Shoulder Tool exist, there is currently no integrated system to assess and visualize cumulative MSD risk across multiple body regions, tasks, and workers. The Plant-Layout Organizational Tool (PLOT) addresses this gap by merging these fatigue failure-based assessment tools into an interactive platform that supports facility-wide ergonomic risk mapping. Users input task-specific data (e.g., load, repetitions, exertion), conduct risk assessments, and map results onto facility layouts to visualize exposure at the workstation, line, or section level. Developed in Python, PLOT supports cross-platform deployment and includes robust data filtering, reporting features, and visual summaries. Its capabilities empower users to identify high-risk jobs, evaluate job rotation strategies, and prioritize interventions based on cumulative exposure estimates. By contextualizing ergonomic risks within the physical layout of the workplace, PLOT enhances decision-making and supports more targeted, data-driven prevention strategies. Future development will focus on validation, user feedback integration, and expanded functionalities. PLOT represents a major step forward in applying fatigue failure theory and visual ergonomics to practical MSD control at the organizational level.

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Publication Details

Journal
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Published
2025-07-13
DOI
https://doi.org/10.1177/10711813251357881
Citations
1
Primary Topic
Manufacturing Process and Optimization
Type
article
Field-Weighted Citation Impact
1.24
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article

PLOT: A Plant-Layout Organizational Tool Software Based on Fatigue Failure Theory for MSD Control and Mitigation

Michael E. Zabala, Iván Nail-Ulloa, Sean Gallagher, Robert Sesek et al.
1 citations
Proceedings of the Human Factors and Ergonomics Society Annual Meeting
Manufacturing Process and Optimization
1.24
article

PLOT: A Plant-Layout Organizational Tool Software Based on Fatigue Failure Theory for MSD Control and Mitigation

Michael E. Zabala, Iván Nail-Ulloa, Sean Gallagher, Robert Sesek, Mauricio Henriquez-Schott
article en
1 citations

Abstract

Work-related musculoskeletal disorders (MSDs) remain a leading source of workplace injuries and reduced productivity. While validated ergonomic tools like LiFFT, DUET, and the Shoulder Tool exist, there is currently no integrated system to assess and visualize cumulative MSD risk across multiple body regions, tasks, and workers. The Plant-Layout Organizational Tool (PLOT) addresses this gap by merging these fatigue failure-based assessment tools into an interactive platform that supports facility-wide ergonomic risk mapping. Users input task-specific data (e.g., load, repetitions, exertion), conduct risk assessments, and map results onto facility layouts to visualize exposure at the workstation, line, or section level. Developed in Python, PLOT supports cross-platform deployment and includes robust data filtering, reporting features, and visual summaries. Its capabilities empower users to identify high-risk jobs, evaluate job rotation strategies, and prioritize interventions based on cumulative exposure estimates. By contextualizing ergonomic risks within the physical layout of the workplace, PLOT enhances decision-making and supports more targeted, data-driven prevention strategies. Future development will focus on validation, user feedback integration, and expanded functionalities. PLOT represents a major step forward in applying fatigue failure theory and visual ergonomics to practical MSD control at the organizational level.

Proceedings of the Human Factors and Ergonomics Society Annual MeetingVol. 69(1)
Austral University of Chile (CL), Auburn University (US)
Openalex Percentile: Top 17%
Manufacturing Process and Optimization
1.24
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