Title :
Reducing the risk of heat stress using artificial neural networks based job-combination approach
Author :
Srivastava, Sanjay ; Anand, Yogesh K. ; Soamidas, V.
Author_Institution :
Dept. of Mech. Eng., Dayalbagh Educ. Inst., Agra, India
Abstract :
We design and implement a system to reduce the risk of heat stress, a recognized occupational health hazard (OHH), in two labor intensive industries using a job-combination approach. A novel feature of the system is employing artificial neural networks (ANNs) as model free estimators to evaluate perceived discomforts (PDs) of workers for different job combinations proposed in the work.
Keywords :
hazards; neural nets; occupational health; personnel; risk analysis; ANN; OHH; artificial neural networks; heat stress risk; job-combination approach; occupational health hazard; Artificial neural networks; Firing; Heating; Neurons; Stress; Testing; Training; Artificial Neural Networks; Heat Stress; Occupational Health;
Conference_Titel :
Industrial Engineering and Engineering Management (IEEM), 2010 IEEE International Conference on
Conference_Location :
Macao
Print_ISBN :
978-1-4244-8501-7
Electronic_ISBN :
2157-3611
DOI :
10.1109/IEEM.2010.5674503
