Modeling the influence of individual and employment factors on musculoskeletal disorders in fabrication industry-Reference-Cited by-同舟云学术

Modeling the influence of individual and employment factors on musculoskeletal disorders in fabrication industry

Published:2017-03 Issue:2 Volume:27 Page:116-125
ISSN:1090-8471
Container-title:Human Factors and Ergonomics in Manufacturing & Service Industries
language:en
Short-container-title:Hum. Factors Man.

Author:

R. R Mahesa.¹,Vinodkumar M. N.¹,Neethu V.¹

Affiliation:

1. Cochin University of Science and Technology; Kerala India

Publisher

Wiley

Subject

Industrial and Manufacturing Engineering,Human Factors and Ergonomics

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/hfm.20696/fullpdf

Reference55 articles.

1. Abugad , A. H. 2009 September 25). The economic burden of work-related injuries and descriptive profile of the current situation in the Kingdom of Saudi Arabia http://ipac.kacst.edu.sa/edoc/

2. Association between shift working and musculoskeletal disorder symptoms among nursing personnel;Attarchi;Iranian Journal of Nursing and Midwifery Research,2014

3. Barcelona , N. L. 2009 Work-related injuries, illnesses claims millions of lives, dollars yearly http://www.bulatlat.com/main/

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