Revised NIOSH lifting equation: a critical evaluation

Ahmad, Saman; Muzammil, Mohammad

doi:10.1080/10803548.2022.2049123

Cited by 3 publications

(1 citation statement)

References 93 publications

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“…Ahmad & Muzammil also worked on evaluation done by revised NIOSH equation to build up a better version by modifying the multipliers to make it more realistic. The concept behind changing the multipliers is to consider the individual worker with his environmental conditions thus making RWL values more accurate 29) . The study here reveals the application of altered NIOSH Lifting Equation with respect to real time situation with details and procedures of all measured parameters contributing to the final result with accurateness of measured variables.…”

Section: Introductionmentioning

confidence: 99%

A Postural Risk Assessment of Manual Dairy Farm Workers using NIOSH Lifting Equation

Gurnani¹,

Singh²,

Sain³

et al. 2022

Evergreen

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The postural risk assessment plays a very important role in calculation of musculoskeletal fatigue in human beings. A study in similar contrast contributes to an enhanced intellect of NIOSH Lifting Equation in consideration to the weight lifting conditions of manual dairy farm workers through an exhaustive description of the process involved in measuring variables affecting the risk score of an individual. NIOSH Lifting Equation is an Ergonomic technique with a systematic approach to calculate the risk score of workers involved in frequent and heavy load lifting tasks. A data driven approach capturing both films and photographs was used for evaluation along with measurement tools to calculate risk score from initial to final point of loading. The evaluation resulted in Recommended Weight Limit (RWL) of 27.86 Kgs and Lifting Index (Li) of 1.23. A trained analyst helped handling the device and also the calculation of lifting index (Li) in dairy farm area. A revised form of NIOSH Lifting equation with systematic and reliable procedures resulted in modifications in design of workstations that involved frequent load lifting for workers in dairy farm, thereby reducing the musculoskeletal disorders.

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Section: Introductionmentioning

confidence: 99%

A Postural Risk Assessment of Manual Dairy Farm Workers using NIOSH Lifting Equation

Gurnani¹,

Singh²,

Sain³

et al. 2022

Evergreen

View full text Add to dashboard Cite

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Save Your Back: Comparison of the Compressive Force on the Lower Back Based on Differences in the Training Techniques

Callihan,

McCoy,

Reed

et al. 2024

Journal of Emergency Nursing

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Upper-Limb and Low-Back Load Analysis in Workers Performing an Actual Industrial Use-Case with and without a Dual-Arm Collaborative Robot

Silvetti,

Varrecchia,

Chini

et al. 2024

Safety

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In the Industry 4.0 scenario, human–robot collaboration (HRC) plays a key role in factories to reduce costs, increase production, and help aged and/or sick workers maintain their job. The approaches of the ISO 11228 series commonly used for biomechanical risk assessments cannot be applied in Industry 4.0, as they do not involve interactions between workers and HRC technologies. The use of wearable sensor networks and software for biomechanical risk assessments could help us develop a more reliable idea about the effectiveness of collaborative robots (coBots) in reducing the biomechanical load for workers. The aim of the present study was to investigate some biomechanical parameters with the 3D Static Strength Prediction Program (3DSSPP) software v.7.1.3, on workers executing a practical manual material-handling task, by comparing a dual-arm coBot-assisted scenario with a no-coBot scenario. In this study, we calculated the mean and the standard deviation (SD) values from eleven participants for some 3DSSPP parameters. We considered the following parameters: the percentage of maximum voluntary contraction (%MVC), the maximum allowed static exertion time (MaxST), the low-back spine compression forces at the L4/L5 level (L4Ort), and the strength percent capable value (SPC). The advantages of introducing the coBot, according to our statistics, concerned trunk flexion (SPC from 85.8% without coBot to 95.2%; %MVC from 63.5% without coBot to 43.4%; MaxST from 33.9 s without coBot to 86.2 s), left shoulder abdo-adduction (%MVC from 46.1% without coBot to 32.6%; MaxST from 32.7 s without coBot to 65 s), and right shoulder abdo-adduction (%MVC from 43.9% without coBot to 30.0%; MaxST from 37.2 s without coBot to 70.7 s) in Phase 1, and right shoulder humeral rotation (%MVC from 68.4% without coBot to 7.4%; MaxST from 873.0 s without coBot to 125.2 s), right shoulder abdo-adduction (%MVC from 31.0% without coBot to 18.3%; MaxST from 60.3 s without coBot to 183.6 s), and right wrist flexion/extension rotation (%MVC from 50.2% without coBot to 3.0%; MaxST from 58.8 s without coBot to 1200.0 s) in Phase 2. Moreover, Phase 3, which consisted of another manual handling task, would be removed by using a coBot. In summary, using a coBot in this industrial scenario would reduce the biomechanical risk for workers, particularly for the trunk, both shoulders, and the right wrist. Finally, the 3DSSPP software could be an easy, fast, and costless tool for biomechanical risk assessments in an Industry 4.0 scenario where ISO 11228 series cannot be applied; it could be used by occupational medicine physicians and health and safety technicians, and could also help employers to justify a long-term investment.

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Revised NIOSH lifting equation: a critical evaluation

Cited by 3 publications

References 93 publications

A Postural Risk Assessment of Manual Dairy Farm Workers using NIOSH Lifting Equation

A Postural Risk Assessment of Manual Dairy Farm Workers using NIOSH Lifting Equation

Save Your Back: Comparison of the Compressive Force on the Lower Back Based on Differences in the Training Techniques

Upper-Limb and Low-Back Load Analysis in Workers Performing an Actual Industrial Use-Case with and without a Dual-Arm Collaborative Robot

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