The analysis and management of unsafe acts and unsafe conditions. Data collection and analysis
| Autor: | Serena Bosca, Gabriele Baldissone, Salvina Murè, Lorenzo Comberti |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Data collection
Unsafe Acts Unsafe conditions HFACS Fuzzy Logic Computer science 05 social sciences 0211 other engineering and technologies Public Health Environmental and Occupational Health 02 engineering and technology Building and Construction Near miss Fuzzy logic Work environment Risk analysis (engineering) Occupational accident 021105 building & construction Management system Application procedure 0501 psychology and cognitive sciences Safety culture Safety Risk Reliability and Quality Safety Research 050107 human factors |
| Zdroj: | Safety Science. 119:240-251 |
| ISSN: | 0925-7535 |
| DOI: | 10.1016/j.ssci.2018.10.006 |
| Popis: | The present work deals with the development of an Accident Precursors Management System, aimed at analysing the accident precursors (unsafe act & conditions and near misses) in order to identify the preventive actions needed to avoid them and the accidents that could descend from the analysed events. The methodology is developed starting from the HFACS taxonomy for the collection and classification of the observed events and the Fuzzy Application Procedure – FAP, already devised for the occupational accident risk analysis in the industrial domain. The methodology proposed is thus made of: a data collection procedure, to be carried out in situ based on the observation of the workshop, and a data analysis tool, based on the Fuzzy Logic Approach, that allows to obtain the suitable preventive measures to cope with the accident precursors analysed. The methodology described is generally applicable and does not depend on a specific working site environment. On the contrary, the measures to be applied to prevent accident precursors and their effectiveness are strongly dependent on the work environment, the safety culture and the operational procedures and praxis. The method has been tested in a real industrial workplace and the results obtained are here described and discussed. |
| Databáze: | OpenAIRE |
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