Managing Human Factors to Reduce Organisational Risk in Industry
| Autor: | Fortunato Carpitella, Silvia Carpitella, Joaquín Izquierdo, Antonella Certa, Julio Benítez |
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| Přispěvatelé: | Silvia Carpitella, Fortunato Carpitella, Antonella Certa, Julio Benítez, Joaquín Izquierdo |
| Jazyk: | angličtina |
| Rok vydání: | 2018 |
| Předmět: |
Bottling process
DEMATEL 02 engineering and technology lcsh:QA75.5-76.95 Multi-criteria decision-making Human behaviour 0202 electrical engineering electronic engineering information engineering 0501 psychology and cognitive sciences Inference engine Set (psychology) 050107 human factors Risk management Organisational risk business.industry Applied Mathematics lcsh:T57-57.97 lcsh:Mathematics 05 social sciences Rank (computer programming) General Engineering Multiple-criteria decision analysis lcsh:QA1-939 Risk evaluation Computational Mathematics Intervention (law) Risk analysis (engineering) lcsh:Applied mathematics. Quantitative methods 020201 artificial intelligence & image processing Business lcsh:Electronic computers. Computer science Risk assessment MATEMATICA APLICADA |
| Zdroj: | RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia instname Mathematical and Computational Applications Volume 23 Issue 4 Mathematical and Computational Applications, Vol 23, Iss 4, p 67 (2018) |
| DOI: | 10.3390/mca23040067 |
| Popis: | [EN] Human factors are intrinsically involved at virtually any level of most industrial/business activities, and may be responsible for several accidents and incidents, if not correctly identified and managed. Focusing on the significance of human behaviour in industry, this article proposes a multi-criteria decision-making (MCDM)-based approach to support organizational risk assessment in industrial environments. The decision-making trial and evaluation laboratory (DEMATEL) method is proposed as a mathematical framework to evaluate mutual relationships within a set of human factors involved in industrial processes, with the aim of highlighting priorities of intervention. A case study related to a manufacturing process of a real-world winery is presented, and the proposed approach is applied to rank human factors resulting from a previous organisational risk evaluation from which suitable inference engines may be developed to better support risk management. This research was funded by Universitat Politècnica de València: 114417. |
| Databáze: | OpenAIRE |
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