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Minimizing Musculoskeletal Disorders in Lathe Machine Workers
Aman Sachdeva, B.D.Gupta, Sneh Anand
Pages - 20 - 28     |    Revised - 01-09-2011     |    Published - 05-10-2011
Volume - 1   Issue - 2    |    Publication Date - November / December 2011  Table of Contents
Artificial Intelligence, Expert System, Fuzzy Logic
In production units, workers work under tough conditions to perform the desired task. These tough conditions normally give rise to various musculoskeletal disorders within the workers. These disorders emerge within the workers body due to repetitive lifting, differential lifting height, ambient conditions etc. For the minimization of musculoskeletal disorders it is quite difficult to model them with mathematical difference or differential equations. In this paper the minimization of musculoskeletal disorders problem has been formulated using fuzzy technique. It is very difficult to train non linear complex musculoskeletal disorders problem, hence in this paper a non linear fuzzy model has been developed to give solutions to these non linearities. This model would have the capability of representing solutions for minimizing musculoskeletal disorders needed for workers working in the production units.
CITED BY (7)  
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5 Shavarani, S. M. (2013). Construction of an Expert System for Assessment of Work-Related Musculoskeletal Disorders for VDT Users (Doctoral dissertation, Eastern Mediterranean University (EMU)).
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Mr. Aman Sachdeva
Anand Engineering College - India
Mr. B.D.Gupta
- India
Mr. Sneh Anand
- India