Low back pain assessment application for construction workers

Adeyemi, Hezekiah O.; Adejuyigbe, Samuel B.; Ismaila, Salami Olasunkanmi; Adekoya, Adebayo Felix

doi:10.1108/jedt-02-2013-0008

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…Each MF has a value of either 0 or 1 and a range specifying the minimum and maximum input values [15]. Fuzzy logic has been widely applied in the areas of engineering, design, diagnostics, control [16], artificial intelligence and expert systems [17,18] to mention few.…”

Section: Materials and Methods 21 Fuzzy Logicmentioning

confidence: 99%

Modelling Room Cooling Capacity With Fuzzy Logic Procedure

Adeyemi¹,

Jagun²,

Giwa³

et al. 2016

Nig. J. Tech.

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The primary aim of this study is to develop a model for estimation of the cooling requirement of residential rooms. Fuzzy logic was employed to model four input variables (window area (m 2), roof area (m 2), external wall area (m 2) and internal load (Watt). The algorithm of the inference engine applied sets of 81 linguistic rules to generate the output variable in Cooling Load rating. A paired t-test was carried out using SPSS version 20 package, with the results of human professionals' calculations for each assessed rooms compared with the model generated Cooling Load capacities for the same set of variables. The human calculation and model results were observed to be strongly correlated (r=0.880, p<0.001) with no significant difference between the two sets of variables (t19=-1.697, p>0.001). On the average, human calculation values were 221.5 points lower than model calculated values (at 95% confidence interval [-447.55, 4.50]). The study proposed a model to size the cooling capacity of residential rooms. The model is capable of providing results comparable to that of human professionals in the application area. It is simple and can find its usefulness among building consultants/professionals and home owners.

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Section: Materials and Methods 21 Fuzzy Logicmentioning

confidence: 99%

Modelling Room Cooling Capacity With Fuzzy Logic Procedure

Adeyemi¹,

Jagun²,

Giwa³

et al. 2016

Nig. J. Tech.

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“…Quick Exposure Check (QEC), Rapid Entire Body Assessment (REBA) and Rapid Upper Limb Assessment Method (RULA) were the three techniques used for the postural analysis of workrelated musculoskeletal risk factors [2,17,[23][24][25][26][27]. The data were collected by analyzing some basic postures of the machine operators as shown in Appendices 1 -3.…”

Section: Risks and Postural Analysesmentioning

confidence: 99%

“…Thus, improving productivity at work has been identified among development alternatives and achieving organizational goals [15] and it would be difficult to achieve these goals without considering properly, the effects of ergonomics in reducing MSDs [16] and lower the physical demands of workers in industries [17,18]. According to a study conducted by Abarqhouei and Nasab (2011) [19] that compared the use of integrated ergonomics model and work conditions before the ergonomic model, the study showed improved productivity, better job quality and reduced MSDs after the ergonomic model was adopted.…”

Section: Introductionmentioning

confidence: 99%

Risk, Postural and Physical Strain Assessment of Sawmill Workers in Nigeria

Ajayeoba

2019

JERA

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Work-related Musculoskeletal Disorders (WMSDs) have been seen as major health problems that have direct impacts on workers’ physical/psychosocial well beings, health, and productivity. Thus, the assessment of Musculoskeletal Disorders (MSDs) in sawmills will lead to a suitable platform for development and execution of proper ergonomic intervention programmes to achieve desirable workplaces. This research focused on determining the prevailing factors associated with MSDs and establishment of exposure’s level of sawmill workers to MSDs, based on risk and postural analyses using Quick Exposure Check (QEC), Rapid Entire Body Assessment (REBA) and Rapid Upper Limb Assessment Method (RULA); and physical strain assessment using relative Cardiovascular Load (% CVL), Cardiovascular Strain (% CVS) and Relative Heart Rate (%RHR) equations. Six hundred and sixty – three (663) male and thirty – three (33) female workers participated in the research survey and the participants were classified into two groups: machine operators’ classification (which included: Band-saw Operators (BOs), Circular-saw Operators (COs) and Planer Operators (POs)) and sawmill workers’ classification (which included: Machine Operators (MOs), Mill Workers (MWs), Dust Parkers (DPs); and Machine Maintenance Personnel (MMPs)). Ninety – six (96) workers each from each machine operators’ classification group (making 288 MOs), 240 MWs, 96 DPs, and 72 MMPs were considered for this study. Two cities were considered in each six Southwestern States of Nigeria, namely: Ekiti, Lagos, Ogun, Ondo, Osun, and Oyo States and a minimum of two sawmills were used in each city. The results of the postural analysis using QEC, REBA, and RULA show that an appreciable number of workers were working above the secured limit. Physical strain assessment results showed that not less than 60% of the workers were operating under high or very high-level discomfort and 61.8% of the workers were subjected to either heavy or very heavy work intensity.

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