Assessment of physical work demands of long-distance industrial gas delivery truck drivers

Sekkay, Firdaous; Imbeau, Daniel; Dubé, Philippe-Antoine; Chinniah, Yuvin; Marcellis-Warin, Nathalie de; Beauregard, Nancy; Trépanier, Martin

doi:10.1016/j.apergo.2020.103224

Cited by 9 publications

(4 citation statements)

References 62 publications

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“…In the literature, it is indicated that if workers are subjected to heavy manual work and load on muscles, they perceive a higher PWL and have a higher risk of developing work-related musculoskeletal disorders (Roja et al, 2019). Another study in the literature shows that, as the frequency of manual work activities with awkward postures increases, workers are more likely to become tired early and develop occupational musculoskeletal disorders (Sekkay et al, 2020). According to the measurements related to the frequency of the riskiest posture, the risk level of working posture, and heart rate criteria, the 27th, 28th, and 12th workers had higher levels than many of the remaining workers.…”

Section: Discussionmentioning

confidence: 99%

A novel aggregated multiple criteria decision‐making approach to evaluate the physical workload of workers

Ekinci

Can

2021

Hum Ftrs & Erg Mfg Svc

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Physical workload (PWL) is a measure of the physical resources consumed by a worker while performing a task. Analyzing the PWL of workers can aid experts in identifying workers whose working conditions should be improved. Identifying workers who are exposed to the highest PWL is essential for task continuity and occupational health. In this study, a new approach is proposed to prioritize workers according to their PWL levels. In the proposed approach, multiple criteria decisionmaking techniques are used because different factors can affect PWL levels. Eight criteria, that is, standard time, frequency of working posture, heart rate, the risk level of posture, noise level, lighting intensity, rest period, and perceived workload level are considered. In the evaluation process, criteria weights are computed using entropy considering measurements of the eight criteria for each worker. Using

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Section: Discussionmentioning

confidence: 99%

A novel aggregated multiple criteria decision‐making approach to evaluate the physical workload of workers

Ekinci

Can

2021

Hum Ftrs & Erg Mfg Svc

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“…Hu [32]., for example, studied the electromyographic activity of the driver's muscles while driving a truck on roads with different roughness. In addition, Sekkay [33] studied the limits of the musculoskeletal pain thresholds for the physical loading of truck drivers. Thus, assessing a driver's workload through physiological parameters provides valuable information [34].…”

Section: Introductionmentioning

confidence: 99%

The Effect of Different Road Types on Timber Truck Drivers by Assessing the Load Environment of Drivers by Monitoring Changes in Muscle Tension

Škvor

Martin²,

Natov³

et al. 2022

Forests

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Our research aimed to quantify stress load in drivers by monitoring the load on the radial extensor carpi radialis (musculus extensor carpi radialis) on different types of forest and other categories of roads. We observed changes in the electrical potential of skeletal muscles using electromyographic measurements and changes in heart rate using a Biofeedback 2000 x-pert recorder. We measured the loading of drivers during the normal operation of timber trucks and timber trucks with trailers, while the reference measurements took place in a passenger car. We obtained descriptive statistics from the individual measurements and evaluated the normality of the measured data. Differences in muscle load increased when driving on lower-grade roads. The muscle load increased significantly, especially when passing through villages, inversely proportional to the width of the roads and the radius of their bends. Experiments revealed that the drivers of loaded vehicles who drove on lower-grade roads were under higher stress. Muscle load of drivers a loaded timber truck with a trailer was more difficult on roads of lower grades than on roads of grade I by 41.3%. Driving a timber truck is 21.9% more difficult on lower grade roads than on grade I roads. For preventive health and safety reasons, it is optimal to alternate trucking with a different type of work, thus minimizing the chance of occurrence of health disabilities.

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“…The World Health Organization (WHO) and the International Labor Organization (ILO) have developed estimates of the burden of occupational diseases and injuries [1]. Diseases due to incorrect work posture include MSD [2]. Analysis methods related to occupational risks include: NIOSH, RULA, OWAS, REBA [3].…”

Section: Introductionmentioning

confidence: 99%

The Niosh Method Analysis Model Uses Digital Human Modeling

Iba¹

2022

EOIJ

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Niosh method is used to obtain Lifting Index (LI) for single task and Composite Lifting Index (CLI) for multi-task work. Getting the value of the Niosh variable as well as getting the results of the analysis requires people to do the work. In this research, Digital Human Modeling (DHM) Tecnomatix Jack is used as a simulator to get Niosh variables and software development using PHP programming language to get LI or CLI results. The result is that DHM can help get the Niosh variable even though the work station has not been created because it can be done by simulation. Software is tested by black box testing and the results are valid.

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Assessment of physical work demands of long-distance industrial gas delivery truck drivers

Cited by 9 publications

References 62 publications

A novel aggregated multiple criteria decision‐making approach to evaluate the physical workload of workers

A novel aggregated multiple criteria decision‐making approach to evaluate the physical workload of workers

The Effect of Different Road Types on Timber Truck Drivers by Assessing the Load Environment of Drivers by Monitoring Changes in Muscle Tension

The Niosh Method Analysis Model Uses Digital Human Modeling

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