Technique to identify and characterize new and emerging risks: A new tool for application in manufacturing processes
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http://hdl.handle.net/10045/77116
Títol: | Technique to identify and characterize new and emerging risks: A new tool for application in manufacturing processes |
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Autors: | Brocal, Francisco | González, Cristina | Sebastián Pérez, Miguel Ángel |
Grups d'investigació o GITE: | Acústica Aplicada |
Centre, Departament o Servei: | Universidad de Alicante. Departamento de Física, Ingeniería de Sistemas y Teoría de la Señal | Universidad de Alicante. Instituto Universitario de Física Aplicada a las Ciencias y las Tecnologías |
Paraules clau: | TICHNER (Technique to Identify and CHaracterize NERs) | New and emerging risks | Manufacturing process |
Àrees de coneixement: | Física Aplicada |
Data de publicació: | de novembre-2018 |
Editor: | Elsevier |
Citació bibliogràfica: | Safety Science. 2018, 109: 144-156. doi:10.1016/j.ssci.2018.05.005 |
Resum: | The application of advanced automation technology in manufacturing process has increased manufacturing flexibility tremendously. The reasons to automate manufacturing processes include increased quality and efficiency demands, as well as improve the occupational safety and health. However, the fast pace of innovation and the rapid roll-out of new technologies and new products, as well as the creation of new jobs or modification of traditional jobs, requiring new skills, mean that a wider working population faces new risks. Thus, besides traditional occupational risks, automated manufacturing processes can generate others, referred to as “new and emerging risks” (NERs). These NERs may be linked either to the manufacturing process as a whole (system) or to specific components. This connection presents at least two complex problems in the field of occupational safety and health. Firstly, there is currently no technique aimed at identifying and characterizing these risks in order to explain the features that confer them the status of new and/or emerging. Secondly, it is not possible to study the complex interrelations between the features of the system NERs and its components. With the aim of resolving these problems, with the present work a technique in order to identify and characterize the NERs generated by a system and its components has been developed. This technique has been applied to a case study in the context of automated manufacturing processes. |
Patrocinadors: | 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. |
URI: | http://hdl.handle.net/10045/77116 |
ISSN: | 0925-7535 (Print) | 1879-1042 (Online) |
DOI: | 10.1016/j.ssci.2018.05.005 |
Idioma: | eng |
Tipus: | info:eu-repo/semantics/article |
Drets: | © 2018 Elsevier Ltd. |
Revisió científica: | si |
Versió de l'editor: | https://doi.org/10.1016/j.ssci.2018.05.005 |
Apareix a la col·lecció: | INV - Acústica Aplicada - Artículos de Revistas |
Arxius per aquest ítem:
Arxiu | Descripció | Tamany | Format | |
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2018_Brocal_etal_SafetySci_final.pdf | Versión final (acceso restringido) | 568,82 kB | Adobe PDF | Obrir Sol·licitar una còpia |
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