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RESEARCH PRODUCT

Managing Human Factors to Reduce Organisational Risk in Industry

Fortunato CarpitellaSilvia CarpitellaJoaquín IzquierdoAntonella CertaJulio Benítez

subject

Bottling processDEMATEL02 engineering and technologylcsh:QA75.5-76.95Multi-criteria decision-makingHuman behaviour0202 electrical engineering electronic engineering information engineering0501 psychology and cognitive sciencesInference engineSet (psychology)050107 human factorsRisk managementOrganisational riskbusiness.industryApplied Mathematicslcsh:T57-57.97lcsh:Mathematics05 social sciencesRank (computer programming)General EngineeringMultiple-criteria decision analysislcsh:QA1-939Risk evaluationComputational MathematicsIntervention (law)Risk analysis (engineering)lcsh:Applied mathematics. Quantitative methods020201 artificial intelligence & image processingBusinesslcsh:Electronic computers. Computer scienceRisk assessmentMATEMATICA APLICADA

description

[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.

yearjournalcountryeditionlanguage
2018-10-25
10.3390/mca23040067https://doi.org/10.3390/mca23040067