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contributor authorRobert Taylor, J.
date accessioned2022-02-04T23:04:12Z
date available2022-02-04T23:04:12Z
date copyright3/1/2020 12:00:00 AM
date issued2020
identifier issn2332-9017
identifier otherrisk_006_01_011006.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4276037
description abstractOrganizational and management errors and failures represent a very significant causal influence in industrial accidents. A method, organizational failure analysis (OFA) is described for in-depth identification of organizational deficiencies and failures that can lead to accidents. The method was developed on the basis of an extensive data collection from safety management audits, accident and incident investigations, and emergency training exercises led by the author over a period of 26 years. From these data, a number of models of organizational performance and management behavior are derived. The models allow a semi-automated application of the method, which is important for the application to large organizations. The method is described with examples, and the results of several studies aimed at validating the method are given.
publisherThe American Society of Mechanical Engineers (ASME)
titleOrganizational Failure Analysis for Industrial Safety
typeJournal Paper
journal volume6
journal issue1
journal titleASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg
identifier doi10.1115/1.4044945
journal fristpage011006-1
journal lastpage011006-17
page17
treeASCE-ASME J Risk and Uncert in Engrg Sys Part B Mech Engrg:;2020:;volume( 006 ):;issue: 001
contenttypeFulltext


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