Citation

Sadeghi S, Sadeghi L, Tricot N, Mathieu L. Int. J. Occup. Safety Ergonomics 2017; 23(4): 457-471.

Affiliation

Automated Production Research Laboratory (LURPA) , ENS Cachan , 61 Av. du Président WILSON, 94235 Cachan Cedex, France , Telephone number, E-mail: luc.mathieu@ens-cachan.fr.

Copyright

(Copyright © 2017, Centralny Instytut Ochrony Pracy - Państwowy Instytut Badawczy, Publisher Informa - Taylor and Francis Group)

DOI

10.1080/10803548.2016.1231785

PMID

27687235

Abstract

Accident reports are published in order to communicate the information and lessons learned from accidents. An efficient accident recording and analysis system is a necessary step towards improvement of safety. However, currently there is a shortage of efficient tools to support such recording and analysis. In this study we introduce a flexible and customizable tool that allows structuring and analysis of this information. This tool has been implemented under TEEXMA®. We named our prototype TEEXMA®SAFETY. It provides an information management system to facilitate data collection, organization, query, analysis and reporting of accidents. A predefined information retrieval module provides ready access to data which allows the user to quickly identify the possible hazards for specific machines and provides information on the source of hazards. The main target audience for this tool includes safety personnel, accident reporters and designers. The proposed data model has been developed by analyzing different accident reports.

Language: en