Issue |
MATEC Web of Conferences
Volume 172, 2018
3rd International Conference on Design, Analysis, Manufacturing and Simulation (ICDAMS 2018)
|
|
---|---|---|
Article Number | 05005 | |
Number of page(s) | 6 | |
Section | Industrial Engineering | |
DOI | https://doi.org/10.1051/matecconf/201817205005 | |
Published online | 12 June 2018 |
Musculoskeletal & Risk Assessment during Threshing of Rice-grains
School of Mechanical Engineering, KIIT, Bhubaneswar, Odisha, India
* Corresponding author : suchismitasatapathy9@gmail.com
In the present study 25 farmers of five villages of South Odisha in India were considered to assess their musculoskeletal disorders (MSD) during threshing of crops. A “Standardized Nordic Questionnaire” was prepared to collect MSD data considering harvesting characteristics, socio-demographic characteristics, economical characteristics about the requirements, and work setting characteristics, by using a five point rating scale i.e. (1 = Very less, 2 =Less, 3 = Nil, 4 = Strong, 5 = Very Strong) for a period of 2 years i.e. from 2015 to 2017. Socio-demographic characteristics and Work setting characteristics of farmers were illustrated to depict the MSD level in different body parts like neck, shoulder, upper back, lower back, elbow, wrist/hand, thigh, knees and ankles, respectively. Factor analysis was performed for threshing characteristics, and economical characteristics, and different parameters under different dominant factors were grouped accordingly. To illustrate the linkage and linear relationship between important parameters, Pearson correlation coefficient matrix was generated for the threshing characteristics of farmers. Also the regression analysis was done to obtain the best-fit linear regression equations for the economic characteristics of farmers. Finally posture analysis was performed for different postures in threshing activities by using the Ovako Working-Posture Analysis System (OWAS) & Rapid Entire Body Assessment (REBA) technique.
© The Authors, published by EDP Sciences, 2018
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.