Abstract
Recently, the production organizations and their suppliers have been facing big pressure concerning an increase in their performance, minimization of costs and, finally yet importantly, meeting of their customers’ needs. In order to keep up the pace with the requirements, the production organizations are using various tools and methods of their improvement. Recently, the application of Industry 4.0 elements has become a key tool for them, and they are based on the need of automation application within production processes. Despite that, there are several activities and processes, which cannot be fully replaced with automation elements, and for their functioning, it is necessary to use a human-machine interface. Because of that, the activities and processes present the risks that do not have to be foreseeable in advance and their late identification and management are combined from discordant product generation, which automatically leads to a loss of competitiveness, or drop of the company profit.
This article is oriented on the risk analysis as an influence value of non-conformity, which originated by the manual placing of components in the process of production organization operating within the automotive area. Using the quality tools, the causes of the non-conformity origination were identified, and system solutions for its elimination were proposed. In line with the strategy Industry 5.0, training, as well as investment into the operators´ training program, created a part of the latter solutions within the context of a significant influence of human factor in the human-machine system.
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References
Sinay, J., Pačaiová, H., Glatz, J.: Bezpečnosť a riziká technických systémov. Košice: TU, 246 s (2009). ISBN 978-80-553-0180-8
Sinay, J., KamenickĂ˝ L.: VzĹĄah medzi kvalitou produkcie a posudzovanĂm chĂ˝b zamestnanca vo vĂ˝robnom procese/Juraj Sinay, Lukáš KamenickĂ˝ - 2013. In: Novus Scientia 2013: 12. roÄŤnĂk medzinárodnej vedeckej konferencie doktorandov strojnĂckych fakĂşlt technickĂ˝ch univerzĂt a vysokĂ˝ch škĂ´l, Košice: TU, S. 1-4. (2013). ISBN 978-80-553-1381
Tsou, J.-C., Chen, W.-J.: The impact of preventive activities on the economics of production systems: modeling and application. Appl. Math. Model. 32(6), 1056–1065 (2008). https://doi.org/10.1016/J.APM.2007.03.005
Lazarevic, M., Mandic, J., Sremcev, N., Vukelic, V.D., Debevec, M.A.: Systematic literature review of poka-yoke and novel approach to theoretical aspects. Strojniški vestnik J. Mech. Eng. 454–467 (2019). https://doi.org/10.5545/sv-jme.2019.6056
Mateides, A.: Manažérstvo kvality – história, koncepty, metódy (2006). ISBN 80-8057-656-4
Ready for Industry 5.0?: Furniturk Industry (2020). https://furniturkonline.com/2018/08/06/ready-for-industry-5-0/
Juhászová, D.: Application of SPC in short run and small mixed batch production: case of bakery equipment producer. Qual. Innov. Prosper. 22(3), 55–67 (2018). https://doi.org/10.12776/QIP.V22I3.1174
Bravi, L., Murmura, F., Santos, G.: The ISO 9001:2015 quality management system standard: companies’ drivers, benefits and barriers to its implementation. Qual. Innov. Prosper. 23(2), 64–82 (2019). https://doi.org/10.12776/QIP.V23I2.1277
Zgodavova, K., Bober, P., Sutoova, A., Lengyelova, K.: Supporting sustainable entrepreneurship in injection molding of plastic parts by optimizing material consumption. Przem. Chem. 98(3), 399–408 (2019). https://doi.org/10.15199/62.2019.3.9
Girmanova, L., et al.: Application of six sigma using DMAIC methodology in the process of product quality control in metallurgical operation. In: Acta Technologica Agriculturae. Roč. 20, č. 4 (2017), pp. 104–109 (2017). ISSN 1338-5267 https://doi.org/10.1515/ata-2017-0020
Zgodavova, K., Sutoova, A., Cicka, M.: Launching new projects in industry 4.0: best practices of automotive suppliers. In: Proceedings of the 4th International Conference on the Industry 4.0 Model for Advanced Manufacturing, (Švajčiarsko), pp. 183–191. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-18180-2_14
Acknowledgement
This contribution is the result of the implementation of VEGA project No. 1/0121/18 “Development of methods of implementation and verification of complex security solution in Smart Factory as part of Industry Strategy 4.0”.
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Nagyova, A., Kotianova, Z., Glatz, J., Sinay, J. (2020). Human Failures on Production Line as a Source of Risk of Non-conformity Occurrence. In: Arezes, P., Boring, R. (eds) Advances in Safety Management and Human Performance. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1204. Springer, Cham. https://doi.org/10.1007/978-3-030-50946-0_14
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