Title :
A Neural Network Model for Human Performance Optimization in the Workplace
Author :
Ghaffari, Masoud ; Genaidy, Ashraf M.
Author_Institution :
Dept. of Mechanical, Industrial & Nucl. Eng., Cincinnati Univ., OH
Abstract :
The work compatibility is an integrated work design criterion that improves different aspects of human performance in a workplace. A neural network model has been developed for the work compatibility matrix. Operating zones have been established in which an employee can perform with a good performance and sustainability. A survey has been conducted and an application example has been provided to demonstrate the applicability of the human performance optimization model
Keywords :
biology computing; ergonomics; neural nets; human performance; human performance optimization; integrated work design criterion; neural network model; sustainability; work compatibility; workplace; Employment; Engines; Humans; Intelligent networks; Neural networks; Occupational safety; Optimization; Product safety; Productivity; Psychology;
Conference_Titel :
Neural Engineering, 2005. Conference Proceedings. 2nd International IEEE EMBS Conference on
Conference_Location :
Arlington, VA
Print_ISBN :
0-7803-8710-4
DOI :
10.1109/CNE.2005.1419708
