Work-related injuries and musculoskeletal disorders among factory workers in a major city of China

Wang, Yu; Yu, Ignatius Ts; Li, Zhimin; Wang, Xiaorong; Sun, Trevor; Lin, Hui; Wan, Sabrina; Qiu, Hong; Xie, Shao-Hua

doi:10.1016/j.aap.2012.03.001

Cited by 70 publications

(53 citation statements)

References 28 publications

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“…The study identified the severe musculoskeletal discomfort allies with production assembly line. This finding is consistent with findings of past studies by (Farioli et al, 2014;Roquelaure, 2016;Yu et al, 2012), which showed that musculoskeletal disorders are main causes of work disability among the employees and also can give very serious effects on employee's health and efficiency. Furthermore, this study was pointed to noticeable assembly performance interference due to musculoskeletal discomfort among participants.…”

Section: Discussionsupporting

confidence: 83%

G3-4　Musculoskeletal Discomforts among Assembly Team Members performing Assembly Welding Task

Aziz

Ghazalli

Mohamed

et al. 2017

The Japanese journal of ergonomics

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Work in the automotive assembly plant is physically strenuous and assembly team members are particularly at risk for developing symptoms of musculoskeletal discomforts (MSDs) compared to other sectors. The main aim of this study was to determine the prevalence rate of musculoskeletal discomforts based on the frequency, severity and performance interference among production assembly team members in an automotive component assembly plant. A cross-sectional study was carried out among the production assembly team members who performed manual assembly welding task. The Cornell Musculoskeletal Disorders Questionnaire (CMDQ) data sheets were used in interview with the assembly team members to obtain the prevalence of MSDs. The prevalence of pain in the upper back, lower back, right shoulder and right wrist have been reported to be higher in comparison with pain in other parts of the body. The current study identified the severe musculoskeletal discomfort allies with production assembly line. Assembly team member's lines 4 were reported high mean frequency discomfort, severely discomfort and interfered assembling task performance. It has been discovered; nonetheless, that assembly team member's assembling task performance has interfered with lower back pain. MSD's survey appeared to be very helpful to screen the production assembly team member's health,well-being and performance. The results are also useful for assessing the ergonomics risks factors in the future study.

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Section: Discussionsupporting

confidence: 83%

G3-4　Musculoskeletal Discomforts among Assembly Team Members performing Assembly Welding Task

Aziz

Ghazalli

Mohamed

et al. 2017

The Japanese journal of ergonomics

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“…In our study, sewing machine operators had the highest 12 months prevalence of neck, lower back, shoulder, and upper back problems. The prevalence of symptoms in each body region in the present study is higher than in previous findings among Chinese industrial workers (15.5−28.0%) 12) , Malaysian palm plantation workers (7.0−40%) 13) , Thai sugarcane farmers (26.8−58.7%) 15) , and Turkish machine operators (23.9−50.5%) 30) . The high rates of symptoms are likely to relate to constrained postures dictated by both the visual and manual aspects of their tasks, as their chairs and sewing machine desks were in a fixed position.…”

Section: Discussioncontrasting

confidence: 55%

“…Previous international studies found similarly high rates of musculoskeletal symptoms in the garment manufacturing industry, with rates of 91.0, 75.0, and 65.0% in New York, Sweden and Turkey, respectively 28−30) . The prevalence of musculoskeletal symptoms in the current study is higher than that found among other factory workers (50.0%) 12) , and palm plantation work- ers (58.3%) 13) , although it issimilar to the prevalence in Thai sugarcane farmers (88.7%) 15) , surgical healthcare workers (90.0%) 31) , and computer mouse users (89.0%) 32) . The difference may be related to differences in work characteristics, working conditions, and workplace organizations in the each of the occupations.…”

Section: Discussioncontrasting

confidence: 47%

“…The difference may be related to differences in work characteristics, working conditions, and workplace organizations in the each of the occupations. Various studies have confirmed that a high prevalence of musculoskeletal symptoms is related to low-quality working conditions, poor workstation and tool design, high workload, mental stress, and biomechanical factors when working 5,12,33) . In the present study, most workers had worked with poor posture due to prolonged sitting or standing for around 10 to 12 hours per day.…”

Section: Discussionmentioning

confidence: 99%

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Prevalence of musculoskeletal symptoms among garment workers in Kandal province, Cambodia

Van

Chaiear

Sumananont

et al. 2016

Journal of Occupational Health

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Prevalence of musculoskeletal symptoms among garment workers in Kandal province, Cambodia: Leap Van, et al. Department of Community Medicine, Faculty of Medicine, Khon Kaen University, Thailand Objective The main objectives of this cross‐sectional descriptive study were to identify the prevalence of musculoskeletal symptoms and workstation biomechanical risk levels for garment workers in Kandal Province, Cambodia. Methods This cross‐sectional descriptive study used multistage sampling techniques to select 714 workers from three garment factories among 22 medium‐size factories (250−1,000 workers). Face‐to‐face interviews and direct observation using the rapid upper limb assessment scale (RULA) were used to collect data. Results The response rate was 98.3% (702/714), and the majority (89.3%) of the respondents were female. Ninety‐two percent (95% CI=90.0−94.0) of the workers reported musculoskeletal symptoms in at least one body region in the previous 12 months and 89.0% (95% CI=86.7−91.3) of the workers reported such symptoms in the past seven‐day period. The neck, shoulder, and lower back were the most affected body regions. In addition, the RULA data showed that 81.2% of the workers’ postures were rated as action level 3, indicating that investigation and change were required soon, and that 7.5% their postures were rated as action level 4, indicating that investigation and change were required immediately. Conclusions Cambodian garment workers reported a high prevalence of musculoskeletal symptoms in upper body regions, and their workplaces were rated as high risk ergonomically.

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“…OHSAS 18001, health and safety incidents, standardized health and safety conditions and health and safety practices are the identified sub-criteria for this main criterion (Ghadimi et al, 2015). In studies conducted in China (W. Yu et al, 2012;Yuan et al, 2012), the importance of selecting suppliers that consider safety-related behaviours and safety standards in their workspaces is emphasized due to a significant increase in industrial accidents and work-related injuries (Thornton et al, 2013).…”

Section: Health and Safety (Social)mentioning

confidence: 99%

Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

Ghadimi

Dargi

Heavey

2017

Computers & Industrial Engineering

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With the global awareness of sustainability issues, sustainable development is being increasingly recognized by governments and industries. In addressing these issues, organizations worldwide have taken initiatives in adopting sustainability practices in their supply chain transferring it to sustainable supply chain management. In order to establish a responsible sustainable supply chain management, an effective way would be to make sure that the potential suppliers for procuring required components are precisely assessed and evaluated based on sustainable criteria. Therefore, this paper proposes a practical decision making approach to evaluate and select the most sustainable suppliers for an automotive spare part manufacturer licensed under a France-based automotive organization. Firstly, a requirement gathering approach, the audition check-list approach, is designed to facilitate the process of data gathering for supplier evaluation based on three pillars of sustainability. Next, the gathered data are processed using a proposed fuzzy inference system to remove impreciseness and vagueness in the gathered sustainability related data. The strength of this model falls into its applicability in data gathering phase which helps decision makers in manufacturing company to perform a fast audition of a typical supplier. Secondly, the final sustainable ranking of suppliers using the proposed fuzzy inference system provide a precise and less uncertain sustainability performance scoring which makes the developed approach a reliable system for making sustainable sourcing decisions. Comparison and sensitivity analysis are performed to evaluate the proficiency of the developed approach. Finally, theoretical and managerial implications together with conclusions of the study are presented.

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Work-related injuries and musculoskeletal disorders among factory workers in a major city of China

Cited by 70 publications

References 28 publications

G3-4　Musculoskeletal Discomforts among Assembly Team Members performing Assembly Welding Task

G3-4　Musculoskeletal Discomforts among Assembly Team Members performing Assembly Welding Task

Prevalence of musculoskeletal symptoms among garment workers in Kandal province, Cambodia

Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

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Work-related injuries and musculoskeletal disorders among factory workers in a major city of China

Cited by 70 publications

References 28 publications

G3-4 Musculoskeletal Discomforts among Assembly Team Members performing Assembly Welding Task

G3-4 Musculoskeletal Discomforts among Assembly Team Members performing Assembly Welding Task

Prevalence of musculoskeletal symptoms among garment workers in Kandal province, Cambodia

Sustainable supplier performance scoring using audition check-list based fuzzy inference system: A case application in automotive spare part industry

Contact Info

Product

Resources

About

G3-4　Musculoskeletal Discomforts among Assembly Team Members performing Assembly Welding Task

G3-4　Musculoskeletal Discomforts among Assembly Team Members performing Assembly Welding Task