Abstract
Industry 4.0 is an application of the network concept of digital objects interconnection and the collection, exchange, analysis and distribution of data among them in industrial enterprises. For this purpose, other technologies belonging to the Industry 4.0 concept are also used. By appropriate application of these technologies, companies can obtain relevant information about the ongoing level of quality of the production process. Improving quality will significantly increase the profitability of the product and will act as a key strategic factor in the market. Many manufacturing companies use traditional manual techniques to assess product quality control. They take a sample from one batch at random and check the quality of the product at different points on the line. However, such an approach has its limitations and does not allow active intervention in the production process. A possible solution is to use the Internet of Things approach, which allows manufacturers to analyse product data that is generated from devices and thus they are informed about the quality of the production process in real time. Product data can be further used to remotely diagnose of the product and reduce the time it takes to process customer service requests.
It this paper will be described some technologies, which can help to achieve these aims and there will be also designed a possible information flow to get appropriate data.
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Acknowledgments
This work was supported by the Slovak Research and Development Agency under the contracts No. APVV-19-0590 and also by the projects VEGA 1/0700/20, KEGA 055TUKE-4/2020 granted by the Ministry of Education of the Slovak Republic.
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Hrehova, S., Husár, J., Knapčíková, L. (2021). Production Quality Control Using the Industry 4.0 Concept. In: Perakovic, D., Knapcikova, L. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2021. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 382. Springer, Cham. https://doi.org/10.1007/978-3-030-78459-1_14
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