 Web-based expert system prototype: applications for workplace improvementTauno Kekale, Kongkiti Phusavat, Bordin Rassameethes and Prachuab Klomjit International Journal of Innovation and Learning, 2010, vol. 8, issue 1, 78-89 Abstract: The purposes of this research are to extend the existing guidelines for manual lifting tasks and to evaluate the impacts from the web-based and interactive features on workers' preference. This web-based tool, the ML-Expert System was designed to address the safety and health of workers. A comparison was made between the two groups, in accordance with the National Institute for Occupational Safety and Health (NIOSH) and the ML-Expert system, over a period of five months. The overall result indicates the need to extend the existing basic guidelines for manual-lifting work by adapting to a unique working environment. Finally, the web-based and interactive features of the ML-Expert appeared to help increase satisfaction and workplace learning. Keywords: manual handling; lifting tasks; workplace improvements; expert systems; prototypes; workers; workforce; National Institute for Occupational Safety and Health; NIOSH; ML-Expert; machine learning; working environments; interactive training; job satisfaction; workplace learning; Thailand; factories; online learning; e-learning; electronic learning; internet; world wide web; knowledge acquisition; web-based learning; innovation. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijilea:v:8:y:2010:i:1:p:78-89 Access Statistics for this article More articles in International Journal of Innovation and Learning from Inderscience Enterprises Ltd |
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