Technique to identify and characterize new and emerging risks: A new tool for application in manufacturing processes

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Título: Technique to identify and characterize new and emerging risks: A new tool for application in manufacturing processes
Autor/es: Brocal, Francisco | González, Cristina | Sebastián Pérez, Miguel Ángel
Grupo/s de investigación o GITE: Acústica Aplicada
Centro, Departamento o Servicio: 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
Palabras clave: TICHNER (Technique to Identify and CHaracterize NERs) | New and emerging risks | Manufacturing process
Área/s de conocimiento: Física Aplicada
Fecha de publicación: nov-2018
Editor: Elsevier
Cita bibliográfica: Safety Science. 2018, 109: 144-156. doi:10.1016/j.ssci.2018.05.005
Resumen: 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.
Patrocinador/es: 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
Tipo: info:eu-repo/semantics/article
Derechos: © 2018 Elsevier Ltd.
Revisión científica: si
Versión del editor: https://doi.org/10.1016/j.ssci.2018.05.005
Aparece en las colecciones:INV - Acústica Aplicada - Artículos de Revistas

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