Research Article
Production Quality Control Using the Industry 4.0 Concept
@INPROCEEDINGS{10.1007/978-3-030-78459-1_14, author={Stella Hrehova and Jozef Hus\^{a}r and Lucia Knapč\^{\i}kov\^{a}}, title={Production Quality Control Using the Industry 4.0 Concept}, proceedings={Future Access Enablers for Ubiquitous and Intelligent Infrastructures. 5th EAI International Conference, FABULOUS 2021, Virtual Event, May 6--7, 2021, Proceedings}, proceedings_a={FABULOUS}, year={2021}, month={6}, keywords={Information flow Industry 4.0 Data}, doi={10.1007/978-3-030-78459-1_14} }- Stella Hrehova
Jozef Husár
Lucia Knapčíková
Year: 2021
Production Quality Control Using the Industry 4.0 Concept
FABULOUS
Springer
DOI: 10.1007/978-3-030-78459-1_14
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.
