Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Fuzzy Logic-Based Rapid Upper Limb Assessment: A Novel Approach to Evaluate the Postural Risk of Dumper Operators
https://orcid.org/http://orcid.org/0000-0002-3431-3211
It is proved that the accuracy of the standard Rapid Upper Limb Assessment (RULA) method for evaluating the risk of work-related musculoskeletal disorders (WRMSDs) is often poor. In this paper, a fuzzy logic-based RULA system was developed to address this issue using the MATLAB software package. To evaluate the developed system, 15 dumper operators working in the surface iron ore mine were randomly selected. Video footage of their driving postures was recorded while they were performing different job cycles, such as loading, full-load travel, unloading, and empty travel. The video footage was examined to identify the most frequent driving postures. From this posture, the range of motion of both the axial and appendicular body parts was measured. The measured data were used as input parameter for the fuzzy model to calculate the fuzzy RULA score. The result revealed that 20% of the driving postures adopted by the dumper operators correspond to the medium risk of WRMSDs. Furthermore, the interquartile range of the fuzzy RULA score during dynamic operations was found to be small. This indicates that the fuzzy RULA score remained consistent throughout the dynamic operations. In contrast, the interquartile range exhibited large magnitude in the static operations, thus indicating a greater level of variation in fuzzy RULA score. The correlation test and Bland–Altman analysis were performed to compare the standard and fuzzy RULA scores. This analysis proved that the fuzzy logic-based method is a reliable alternative to the standard method for assessing RULA scores among dumper operators.
Fuzzy Logic-Based Rapid Upper Limb Assessment: A Novel Approach to Evaluate the Postural Risk of Dumper Operators
https://orcid.org/http://orcid.org/0000-0002-3431-3211
It is proved that the accuracy of the standard Rapid Upper Limb Assessment (RULA) method for evaluating the risk of work-related musculoskeletal disorders (WRMSDs) is often poor. In this paper, a fuzzy logic-based RULA system was developed to address this issue using the MATLAB software package. To evaluate the developed system, 15 dumper operators working in the surface iron ore mine were randomly selected. Video footage of their driving postures was recorded while they were performing different job cycles, such as loading, full-load travel, unloading, and empty travel. The video footage was examined to identify the most frequent driving postures. From this posture, the range of motion of both the axial and appendicular body parts was measured. The measured data were used as input parameter for the fuzzy model to calculate the fuzzy RULA score. The result revealed that 20% of the driving postures adopted by the dumper operators correspond to the medium risk of WRMSDs. Furthermore, the interquartile range of the fuzzy RULA score during dynamic operations was found to be small. This indicates that the fuzzy RULA score remained consistent throughout the dynamic operations. In contrast, the interquartile range exhibited large magnitude in the static operations, thus indicating a greater level of variation in fuzzy RULA score. The correlation test and Bland–Altman analysis were performed to compare the standard and fuzzy RULA scores. This analysis proved that the fuzzy logic-based method is a reliable alternative to the standard method for assessing RULA scores among dumper operators.
Fuzzy Logic-Based Rapid Upper Limb Assessment: A Novel Approach to Evaluate the Postural Risk of Dumper Operators
https://orcid.org/http://orcid.org/0000-0002-3431-3211
It is proved that the accuracy of the standard Rapid Upper Limb Assessment (RULA) method for evaluating the risk of work-related musculoskeletal disorders (WRMSDs) is often poor. In this paper, a fuzzy logic-based RULA system was developed to address this issue using the MATLAB software package. To evaluate the developed system, 15 dumper operators working in the surface iron ore mine were randomly selected. Video footage of their driving postures was recorded while they were performing different job cycles, such as loading, full-load travel, unloading, and empty travel. The video footage was examined to identify the most frequent driving postures. From this posture, the range of motion of both the axial and appendicular body parts was measured. The measured data were used as input parameter for the fuzzy model to calculate the fuzzy RULA score. The result revealed that 20% of the driving postures adopted by the dumper operators correspond to the medium risk of WRMSDs. Furthermore, the interquartile range of the fuzzy RULA score during dynamic operations was found to be small. This indicates that the fuzzy RULA score remained consistent throughout the dynamic operations. In contrast, the interquartile range exhibited large magnitude in the static operations, thus indicating a greater level of variation in fuzzy RULA score. The correlation test and Bland–Altman analysis were performed to compare the standard and fuzzy RULA scores. This analysis proved that the fuzzy logic-based method is a reliable alternative to the standard method for assessing RULA scores among dumper operators.
Fuzzy Logic-Based Rapid Upper Limb Assessment: A Novel Approach to Evaluate the Postural Risk of Dumper Operators
J. Inst. Eng. India Ser. C
Kar, Mohith Bekal (Autor:in) / Aruna, Mangalpady (Autor:in) / Kunar, Bijay Mihir (Autor:in)
Journal of The Institution of Engineers (India): Series C ; 104 ; 1047-1055
01.10.2023
9 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Postural analysis of dumper operators and construction workers – a case study
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