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Record W2016799204 · doi:10.1080/21577323.2013.771586

Intervening on the Determinants of Mechanical Exposures: The Effects of a Redesigned Production System on Physical Demands and Worker Perceptions

2013· article· en· W2016799204 on OpenAlexafffund
Andrew C. Laing, Donald C. Cole, Richard Wells

Bibliographic record

VenueIIE Transactions on Occupational Ergonomics and Human Factors · 2013
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsInstitute for Work & HealthPublic Health OntarioUniversity of TorontoUniversity of Waterloo
FundersUniversity of Waterloo
KeywordsProduction lineProduction (economics)WorkforcePsychological interventionProcess (computing)Work (physics)StakeholderLow back painOperations managementBusinessMusculoskeletal disorderPhysical medicine and rehabilitationMedicineEngineeringComputer scienceHuman factors and ergonomicsMarketingPoison controlNursingMechanical engineeringEnvironmental healthManagement

Abstract

fetched live from OpenAlex

OCCUPATIONAL APPLICATIONS Biomechanical analyses confirmed that workers on an existing production system experienced substantial trunk and shoulder loads. The production system design was a major determinant of these high exposures. To reduce these exposures, workplace stakeholders (including local and corporate management and organized labor) engaged with researchers in a participatory design process. Process elements included biomechanical modeling simulations to develop potential configurations, which were subsequently tested by workers during user trials with mock-ups. Based on stakeholder feedback, a new tilted production system was implemented. Formal analyses following installation of the tilted line demonstrated significant decreases in trunk flexion, spinal compression, and muscle activity for the low back and shoulder regions. Workers perceived that the new tilted line made their work significantly easier, safer, and less tiring. The study indicates that interventions at the production system level, developed using a participatory process, can reduce mechanical exposures while improving worker perceptions of job demands. TECHNICAL ABSTRACT Background: The design of an existing production system (flat line) was identified as the dominant driver of mechanical exposures for the low back and upper limb. A participative process was utilized in designing and implementing a tilted line that allowed workers to adopt more upright postures. Purpose: This study aimed to test the hypotheses that the new tilted production system would (1) decrease physical demands of the low back and shoulder, (2) not increase activity of the wrist musculature, (3) reduce workers’ reports of pain intensity, and (4) be perceived as a positive and beneficial change by the workforce. Methods: Eighteen of 22 tilted line workers volunteered to be videotaped (postures input into a biomechanical model of the upper limb/trunk) and have electromyography from the low back, shoulder, and forearm recorded while they worked at four tilted and flat line positions. Self-report questionnaires were used to compare pain intensity scores from workers on the tilted and flat lines. Results: Working on the tilted line was associated with statistically significant reductions in peak trunk angle (mean difference of 11°), L4/L5 spinal compression (314 N), and peak and mean electromyography for the low back (31% and 29%) and dominant shoulder (11% and 12%). No significant differences in pain scores were observed between the two lines. However, workers perceived that the tilted line made their work significantly easier, safer, less tiring, and assisted with their job. Conclusions: Tilting the production system allowed more upright postures, significantly reducing mechanical exposures for the trunk and upper limb. The participatory design approach may have contributed to workers’ positive perceptions about the newly designed production system. Ergonomic interventions that focus on workplace elements that drive mechanical exposures likely increase change impact and intervention intensity and should be an effective way to decrease musculoskeletal disorder risk factors.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.017
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.028

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.017
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.276
Teacher spread0.258 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2013
Admission routes2
Has abstractyes

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