Analysis of Safety Decision-Making Data Using Event Tree Analysis

Predicting and analyzing employee safety decision-making is an important component of managing safety in the workplace. This presentation will discuss the process of transforming existing safety decisionmaking data into an event tree pathway. Event tree analysis methodology is utilized to identify contributing factors in complex systems, illustrate interrelationships of the causes of specified events, and to quantify probabilities of occurrence for each pathway of events. Once pathways are constructed and probabilities for each are estimated, safety decision paths with the highest probabilities can be targeted for educational intervention. Thus, the use of safety decision-making data with event tree analysis has great potential for use in the discipline of safety management. Disciplines Agriculture | Bioresource and Agricultural Engineering | Occupational Health and Industrial Hygiene | Systems Engineering Comments The paper, "Analysis of Safety Decision-Making data Using Event Tree Analysis" (Gretchen A. Moser and Nir Keren), as published in the Proceedings of the ATMAE 2011 Conference (2011 ATMAE Annual Conference, Cleveland, OH, November 9–12, 2011)" is a copyrighted publication of ATMAE, the Association of Technology, Management, and Applied Engineering, 1390 Eisenhower Place, Ann Arbor, MI 48108 This paper has been republished with the authorization of ATMAE, and may be accessed directly from the ATMAE website at http://atmae.org/index.php/conference-20#pastconfpaper. This conference proceeding is available at Iowa State University Digital Repository: http://lib.dr.iastate.edu/abe_eng_conf/356