Physical Risk Factors and Controls for Musculoskeletal Disorders in Construction Trades

Spielholz, Peregrin; Davis, Gary; Griffith, Jason

doi:10.1061/(asce)0733-9364(2006)132:10(1059)

Cited by 39 publications

(11 citation statements)

References 9 publications

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“…(Paine and McCann 2004;Husberg et al 2005) Peculiar dangers and prevention of them depend on a construction site, constructions types, employees themselves and other factors. The extension of practical solutions could help with decreasing the risk of injuries (Spielholz et al 2006).…”

Section: Workplace Safety Design In Building Constructionmentioning

confidence: 99%

Safety of Technological Projects Using Multi-Criteria Decision Making Methods / Darbuotojų Saugos Statybvietėse Sprendinių Daugiatikslis Vertinimas

Dėjus

2011

Journal of Civil Engineering and Management

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The article analyzes a construction technology project as a safety standard document for a construction site and describes the application of mathematical methods at the stages of construction and design. Due to the fact that the construction project consists of (safety point of view) the site plan and technological cards (notably these documents indicate safety design solutions), the indicators making up a comparable set of indicators to evaluate the site plan, technological cards and the entire project may vary and be diverse. Practice shows that the construction technology project or its parts thereof are to be assessed using 5 to 7 parameters, as in case of a larger quantity of indicators, the significance of each indicator becomes relatively lower and has effect on the priorities of line formation. To ensure the safety of workers on construction sites, when preparing construction technology projects, the application of experimental design is proposed, thus starting the evaluation of the quality of technological solutions to construction projects in terms of safety employing multicriteria mathematical methods. Santrauka Šiame straipsnyje analizuojamos statybos darbų technologijos projekto, kaip darbuotojų saugos norminio dokumento, rengimo sąlygos ir aplinkybės bei matematinių metodų taikymo galimybės rengiant saugos darbe sprendinius statybos paruošimo ir projektavimo etape. Kadangi statybos darbų technologijos projektas susideda (saugos darbe požiūriu) iš statybvietės plano ir technologinių kortelių (būtent šiuose dokumentuose užfiksuojami saugos darbe projektiniai sprendiniai), tai ir rodikliai, sudarantys lyginamų rodiklių aibę ir vertinantys statybvietes planą, technologines korteles ir visą projektą, gali būti labai įvairūs ir skirtingi. Praktika rodo, kad statybos darbų technologijos projektas ar jo dalys vertintini pagal 5–7 rodiklius, nes, esant didesniam rodiklių skaičiui, kiekvieno rodiklio reikšmingumas santykinai mažėja ir tai turi įtakos prioritetų eilutės formavimui. Siekiant užtikrinti darbuotojų saugą statybvietėse siūloma rengiant statybos darbų technologijos projektus taikyti variantinį projektavimą, pradėti vertinti statybos darbų technologinių projektų sprendinių kokybę saugos darbe požiūriu ir tam taikyti daugiatikslius matematinius metodus.

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Section: Workplace Safety Design In Building Constructionmentioning

confidence: 99%

Safety of Technological Projects Using Multi-Criteria Decision Making Methods / Darbuotojų Saugos Statybvietėse Sprendinių Daugiatikslis Vertinimas

Dėjus

2011

Journal of Civil Engineering and Management

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“…Manual material handing (MMH) tasks expose workers to a high level of ergonomic hazards, which finds high correlation with the onset of work-related musculoskeletal disorders (WMSDs) [7][8][9][10][11]. Awkward postures have been identified as risk factors for the musculoskeletal system, especially in the construction field [12][13][14][15]. Though different guidelines have been designed for risk assessments, they have not always been definitive due to factors such as high variability, repetitiveness, and a low standardization of tasks [16][17][18][19][20][21][22].…”

Section: Introductionmentioning

confidence: 99%

Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach

Conforti

Mileti

Prete

et al. 2020

Sensors

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Ergonomics evaluation through measurements of biomechanical parameters in real time has a great potential in reducing non-fatal occupational injuries, such as work-related musculoskeletal disorders. Assuming a correct posture guarantees the avoidance of high stress on the back and on the lower extremities, while an incorrect posture increases spinal stress. Here, we propose a solution for the recognition of postural patterns through wearable sensors and machine-learning algorithms fed with kinematic data. Twenty-six healthy subjects equipped with eight wireless inertial measurement units (IMUs) performed manual material handling tasks, such as lifting and releasing small loads, with two postural patterns: correctly and incorrectly. Measurements of kinematic parameters, such as the range of motion of lower limb and lumbosacral joints, along with the displacement of the trunk with respect to the pelvis, were estimated from IMU measurements through a biomechanical model. Statistical differences were found for all kinematic parameters between the correct and the incorrect postures (p < 0.01). Moreover, with the weight increase of load in the lifting task, changes in hip and trunk kinematics were observed (p < 0.01). To automatically identify the two postures, a supervised machine-learning algorithm, a support vector machine, was trained, and an accuracy of 99.4% (specificity of 100%) was reached by using the measurements of all kinematic parameters as features. Meanwhile, an accuracy of 76.9% (specificity of 76.9%) was reached by using the measurements of kinematic parameters related to the trunk body segment.

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“…Masonry activities such as mixing mortar, installing scaffold, cutting and laying block are labour intensive and need diverse skills in the masons to execute their tasks. Masonry is physically demanding (Spielholz et al, 2006) as masons and helpers have to stand for long episodes of time and lift heavy material (Boschman et al, 2011). Masons' work is substantially based on outdoor operations which expose masons to poor weather conditions which in turn reduces their productivity.…”

Section: Introductionmentioning

confidence: 99%

Effects of skills, motivation, and personality traits on the competency of masons

Choudhry¹,

Zafar²

2017

IJSRECE

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Abstract:Incompetency of masons is a problem because they execute many construction activities. This imparts the need to identify factors that affect the competency of masons on construction sites. Factors related to motivation, skills and personality traits are identified. A questionnaire instrument consisting of 15 factors related to the three categories was forwarded to masons on construction projects. Responses collected on a five-point Likert scale were analysed for relative importance index (RII), which was used as the basis for ranking the factors. 'Resistance to change', 'lack of appreciation', and 'lack of formal training' were identified as the first, second, and third most important factors affecting the competency of masons on construction projects. The impact of the category of motivation was found to be the highest on the competency of masons, followed by skills, and personality traits. These findings may be utilised as an assessment tool for determining the competency of masons and identifying areas that need improvements.Keywords: masons; competency; performance; skills; motivation; personality traits.Reference to this paper should be made as follows: Choudhry, R.M. and Zafar, B. (2017) has demonstrated a strong interest in improving the efficiency, productivity and safety of construction projects. He has published 81 papers in refereed journals and conferences.Bilal Zafar is a graduate student in the

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Physical Risk Factors and Controls for Musculoskeletal Disorders in Construction Trades

Cited by 39 publications

References 9 publications

Safety of Technological Projects Using Multi-Criteria Decision Making Methods / Darbuotojų Saugos Statybvietėse Sprendinių Daugiatikslis Vertinimas

Safety of Technological Projects Using Multi-Criteria Decision Making Methods / Darbuotojų Saugos Statybvietėse Sprendinių Daugiatikslis Vertinimas

Measuring Biomechanical Risk in Lifting Load Tasks Through Wearable System and Machine-Learning Approach

Effects of skills, motivation, and personality traits on the competency of masons

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