Assessment of Work Related Musculoskeletal Disorders in Manufacturing Industry

2018 ◽  
Vol 08 (03) ◽  
Author(s):  
Yousaf Ayub ◽  
Zahid Abbas Shah
Author(s):  
Jerzy Grobelny ◽  
Rafał Michalski

This research concerns the workplace design methodology, involving digital human models, that prevents work-related musculoskeletal disorders (WMSDs). We propose an approach that, in conjunction with one of the classic WMSD risk assessment methods, allows one to simplify simulations in a three-dimensional digital environment. Two real-life workstations from a manufacturing industry were modelled in a 3D Studio Max environment by means of an Anthropos ErgoMax system. A number of simulations show that, for the examined cases, classic boundary mannequins’ approaches can be replaced by using 50th percentile of a population individual, with a minimal impact on the WMSD risk. Although, the finding might not be suitable in all situations, it should be considered, especially where compromise solutions are being sought due to other criteria.


2019 ◽  
Vol 64 (2) ◽  
pp. 152-164 ◽  
Author(s):  
Stephen Bao ◽  
Ninica Howard ◽  
Jia-Hua Lin

Abstract Objectives Varied work-related musculoskeletal disorders (WMSDs) claim rates were found between companies even when they were in the same sectors with similar sizes. This study aimed to (i) identify common risk factors for back, shoulder, hand/wrist, and knee WMSDs among manufacturing jobs, and (ii) characterize the biomechanical exposures in jobs and work organizational practices between high and low WMSD claim rate companies so that more focused, industry-specific intervention strategies may be developed. Methods Using historical workers’ compensation data, manufacturing companies were divided into two paired groups (low and high in the lower 25%ile and higher 75%ile, respectively). On-site job evaluations were conducted in 16 companies to determine job biomechanical risk levels. Management and workers’ representatives in 32 paired companies were interviewed to identify possible differences between management strategies and management/worker relationships. A total of 39 injured workers were also interviewed to gather information of self-reported injury causes and suggested preventive measures. Results Analyses of 432 job evaluations showed that more jobs had higher risk levels of prolonged standing and heavy lifting in the high back WMSD claim rate companies than the low claim rate ones. No high biomechanical risk factors were found to be associated with jobs in high shoulder claim rate companies. High repetition, pinch force, and Strain Index were associated with high hand/wrist WMSD claim rate companies. High work pace and job stress were common among high knee WMSD claim rate companies. There were no statistically significant differences for the organizational factors between high and low WMSD claim rate companies. Heavy lifting, fast work pace, high hand/wrist repetition, high hand force, and awkward shoulder postures were identified as major contributing factors by the injured workers. Conclusions High WMSD claim rate companies appeared to have more high biomechanical exposure jobs than low WMSD claim rate companies. Available job evaluation methods for the low back and hand/wrists are satisfactory in quantifying job risk levels in the manufacturing industry. Research into more sensitive job evaluation methods for the shoulder and knee are needed.


2014 ◽  
Vol 592-594 ◽  
pp. 2552-2556 ◽  
Author(s):  
K.R. Balasubramanian ◽  
S.P. Sivapirakasham ◽  
Nanda Naik Korra ◽  
Kranti Kumar Dhruw

Manufacturing industries were considered among the sectors with the considerable level of lost work days due to work related musculoskeletal disorders. The aim of the study is to find out the different parts of body affected due to discomfort while operating machines in manufacturing industry. In this study work-related body-part discomfort was assessed in 51 male operators by using a body map and ranking procedure, while operating different types of machines viz, lathe, drilling and grinding machines. The study showed that out of 51 operator’s, 45 reported discomfort in shoulder and neck, 34 in lower back, 32 in upper back, 46 in arm, and 23of the operators reported discomfort in the leg. Correlations between the discomfort level and different postures at different working conditions were higher. Except at the start of the shift, operators felt musculoskeletal discomfort in various body parts throughout the shift, and were highest at the end of the shift. The middle age group operators reported higher levels of discomfort. Keywords: Discomfort; Injury; Pain; Body map; Discomfort assessment; Questionnaire; Musculoskeletal disorders.


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