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Assessment of the Implementation of a 3D Vision Measuring System on the Production Line in Quality Control of Refractory Products

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The article is a case study on improving the production process of refractory products, where the results of the visual inspection processes of the tested product were used to initiate the improvement. The article presents a systemic process approach to measurement problems and its application using a 3D camera in the refractory industry. The article presents the analysis of the nonconformity structure of the tested product, based on which critical nonconformities were identified and corrective actions were initiated. Special attention was paid to the importance of metrological control (quality control plan) over the process of manufactured products. The requirements for measuring equipment according to quality standards were presented and the principles of their effective use in real conditions were discussed. The analyses carried out have shown that by analysing the results of quality control it is possible to reduce the occurrence of quality problems and thus improve the production process. The originality of the research lies in the identification of significant differences in the quality aspects of products. Research results can contribute to more effective and coherent development activities to achieve a stable and competitive advantage in the market by improving the quality and environmental performance of products. The research results and the conclusions drawn from them can be used by scientists and practitioners to shape the target states of companies in a period of growing commitment to the idea of sustainable production.
Słowa kluczowe
Twórcy
  • AGH University of Krakow, Poland
  • AGH University of Krakow Faculty of Management, Poland
Bibliografia
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  • Haverkamp, N., Beauducel, A. (2019). Differences of Type I error rates for ANOVA and Multilevel-Linear-Models using SAS and SPSS for repeated measures designs. Meta-Psychology, 3, Article MP.2018.898.
  • Islam, M., Chowdhury, R. (2017). Analysis of repeated measures data. Springer. DOI: 1.1007/978-981-10-3794-8
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  • Kowalik, K. (2018). FMEA method in quality management theory and practice. Engineering Knowledge Archive, 2/3, 23–25.
  • Król, J. (2020). SPC/MSA, Statistical Process Control and Analysis. Luquam, Cracow.
  • Maurissen, J., Vidmar, T. (2017). Repeated-measure analyses: Which one? A survey of statistical models and recommendations for reporting. Neurotoxicology and Teratology, 59, 78–84.
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  • Niekurzak, M., Lewicki, W., Coban, H.H, Brelik, A. (2023). Conceptual Design of a Semi-Automatic Process Line for Recycling Photovoltaic Panels as a Way to Ecological Sustainable Production. Sustainability, 15(3), 2822. DOI: 10.3390/su15032822
  • Niekurzak, M., Mikulik, J. (2021). Modelling of Energy Consumption and Reduction of Pollutant Emissions in a Walking Beam Furnace Using the Expert Method - Case Study. Energies 2021, 14, 8099.
  • Niekurzak, M., Kubińska-Jabcoń, E. (2021). Production line modelling by the Industry 4.0 concept as an element of process management in the iron and steel industry. Management and Production Engineering Review, 12(4), 3–12.
  • Ostrowska, K. (2004). Quality management system in accordance with ISO 9001:2000 requirements – this is what you need to know, in ISO 9001. An effective way to obtain a quality certificate, edited by Eckhard Kreier, Jacek Łuczak, 1/1, 1, Forum Publishing House Sp. z o.o., Poznan.
  • Pająk, E., Diering, M. (2010). Ongoing evaluation of the usefulness of measurement systems in the manufacturing process. Part I: “Enterprise Management” methodology, 1, 2–13.
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Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-ab3b3720-b608-4662-a252-c9a187f70cd0
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