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Industry 4.0 solution for safety and quality optimization in manufacturing

Yi Ouyang

Industry 4.0 solution for safety and quality optimization in manufacturing.

Rel. Micaela Demichela. Politecnico di Torino, Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo), 2020

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Due to different levels of tasks and working conditions, workers in the industrial production process are faced with various unavoidable risks. Unfortunately, the death, injury, and disease caused by work have become too common, and with the emergence of more and more safety problems, it not only seriously damages the physical and mental health of workers but also brings unpredictable economic consequences to production plants. This paper analyzes the safety hazards in the industrial production process and identifies the possible risk factors in the production process according to the definition of the Customized Risk Assessment matrix. After that, based on the technical background of industry 4.0, several possible advanced technologies are proposed to monitor and control these variables in the process of risk assessment, and it is assumed that wireless sensors technology and other technologies are used to collect the data and for subsequent calculation. Finally, these results are integrated into the existing risk matrix to assessing the risk severity of each work position through analysis of these variables flexibly and more reliably, to further reducing risk events and optimizing product quality.

Relators: Micaela Demichela
Academic year: 2020/21
Publication type: Electronic
Number of Pages: 61
Corso di laurea: Corso di laurea magistrale in Automotive Engineering (Ingegneria Dell'Autoveicolo)
Classe di laurea: New organization > Master science > LM-33 - MECHANICAL ENGINEERING
Aziende collaboratrici: UNSPECIFIED
URI: http://webthesis.biblio.polito.it/id/eprint/16383
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