Approach to the selection of strategies for emerging risk management considering uncertainty as the main decision variable in occupational contexts
| Autor: | Francisco Brocal, C. González-Gaya, Nicola Paltrinieri, Genserik Reniers, Miguel A. Sebastián |
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| Přispěvatelé: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal, Acústica Aplicada |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
Risk analysis
Meta learning (computer science) Economics Computer science Process (engineering) 0211 other engineering and technologies Poison control Context (language use) 02 engineering and technology Occupational safety and health Meta-learning Física Aplicada 021105 building & construction Emerging risk 0501 psychology and cognitive sciences Safety Risk Reliability and Quality 050107 human factors business.industry 05 social sciences Public Health Environmental and Occupational Health Uncertainty Human factors and ergonomics Risk characterization Building and Construction Automation Management Risk analysis (engineering) business Engineering sciences. Technology Safety Research Mathematics |
| Zdroj: | Safety science |
| ISSN: | 0925-7535 |
| Popis: | Emerging risk models are still scarce and far from agreed upon. They are currently the focus of increasing interest in the occupational context. Consequently, frameworks that deal with emerging risk management in industrial contexts are very recent or, even still, in the development and maturation stage. Uncertainty should be considered as the main characteristic of emerging risk in this context. It is as such that the main objective of this paper is to develop a qualitative approach inspired by meta-learning lessons to the selection of strategies for emerging risk management, considering uncertainty as the main decision variable in occupational contexts. To this end, uncertainty has been integrated, as a combination of knowledge and understanding, in a theoretical framework on emerging risk. An emerging risk classification scheme has been developed with the results obtained. This scheme makes it possible to estimate the level of emerging risk and management strategies based on the combination of uncertainty and the potential consequences of emerging risk. Such approach has been applied to three case studies with different evolutionary degrees of emerging risk: exoskeletons; nanomaterials; and industrial automation. The proposed approach could be considered primarily as a qualitative tool applicable to the process of pre-assessment and communication of emerging risk. This work was funded by the Spanish Ministry of Economy and Competitiveness, with the title: “Analysis and Assessment of technological requirements for the design of a New and Emerging Risks standardized management SYStem (A2NERSYS)” with reference DPI2016-79824-R. |
| Databáze: | OpenAIRE |
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