1. Developing a method to improve safety management systems based on accident investigations: The SAfety FRactal ANalysis.
- Author
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Accou, Bart and Reniers, Genserik
- Subjects
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INDUSTRIAL safety management , *ACCIDENT investigation , *SYSTEMIC risk (Finance) , *SOCIOTECHNICAL systems , *SUSTAINABILITY - Abstract
Highlights • Provides a method to systematically investigate accidents in relation to analyzing elements of the SMS. • A socio-technical approach is adopted. • A graphical representation of the method is given. Abstract The concept of a safety management system (SMS) to control the risks of operational activities has been introduced in high-risk industries already some decades ago. SMS requires accidents/incidents to be reported and analysed and measures to be taken to prevent future events. Additionally, national investigating bodies have been given the role of independently investigating serious events, with the same goal. The current practice in accident and incident investigation however, does not provide a systematic approach to analyse elements of SMS. As a direct consequence, the opportunity to use these investigations for introducing sustainable system changes is often missed. The paper describes the SAfety FRactal ANalysis (SAFRAN) method that is developed to guide investigators to explore the composing elements of an SMS in a natural and logic way, starting from the findings close to operations that explain the occurrence – being the elements accident investigators are first confronted with. The paper further informs on the application of the SAFRAN method to review a selected set of published railway accident investigations, all reporting on occurrences related to over-speeding, possibly resulting in a (lethal) derailment. The depth and focus of the performed investigations is assessed and compared with a reference mode of expected findings that would result from an analysis that is applying the SAFRAN logic. This demonstrates the need, in order to introduce sustainable changes, to focus accident analysis on an organisation's capability of managing the variability that might put successful process performance at risk. [ABSTRACT FROM AUTHOR]
- Published
- 2019
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