[
Aksu, U., Schunselaar, DMM., Reijers, HA., 2019. Automated prediction of relevant key performance indicators for organizations. BUSINESS INFORMATION SYSTEMS, PT I, Lecture Notes in Business Information Processing, 353, 283-299. DOI: 10.1007/978-3-030-20485-3_22.
]Otwórz DOISearch in Google Scholar
[
Barbieri, N., Barbieri, GDV., Martins, BM., Barbieri, LDV., de Lima, KF., 2019. Analysis of automotive gearbox faults using vibration signal. Mechanical Systems And Signal Processing, 129, 148-163. DOI: 10.1016/j.ymssp.2019.04.028.
]Otwórz DOISearch in Google Scholar
[
Borkowski, S., Ulewicz, R., Selejdak J., Konstanciak, M., Klimecka‐Tatar, D., 2012. The use of 3x3 matrix to evaluation of ribbed wire manufacturing technology. in Proc. 21st Internatonal Conference on Metallurgy and Materials METAL 2012, 1722-1728.
]Search in Google Scholar
[
Borkowski, S., Ingaldi, M., Jagusiak-Kocik, M., 2014. The use of 3×3 matrix to evaluate a manufacturing technology of chosen metal company. Management Systems in Production Engineering, 3(15), 121-125.
]Search in Google Scholar
[
Daryani, SM., Khodaverdi, Y., Rasouli, E., Ehareghi, B., 2012. The importance of knowledge management technologies in performance improvement of organizations. Life Science Journal-Acta Zhengzhou University Overseas Edition, 9(9), 4695-4699.
]Search in Google Scholar
[
Deqiang, S., Zhijun, C., Hajduk-Stelmachowicz, M., Larik, AR.,Rafique, MZ. 2021., The role of the global value chain in improving trade and the sustainable competitive advantage: evidence from china’s manufacturing industry. Frontiers in Environmental Science, 9, 779295. DOI: 10.3389/fenvs.2021.779295.
]Otwórz DOISearch in Google Scholar
[
Di Luozzo, S., Keegan, R., Liolli, R., Schiraldi, MM., 2022. Key activity indicators: critical review and proposal of implementation criteria, International Journal Of Productivity And Performance Management, DOI: 10.1108/IJPPM-01-2022-0023.
]Otwórz DOISearch in Google Scholar
[
Gawlik, R., 2016. Methodological aspects of qualitative-quantitative analysis of decision-making processes. Management And Production Engineering Review, 7(2), 3-11. DOI: 10.1515/mper-2016-0011.
]Otwórz DOISearch in Google Scholar
[
Hren, JA., Michna, S., Michnova, L., 2019. Dependence of mechanical properties on porosity of alsi7mg0.3 alloy during gravity casting. 18th International Scientific Conference Engineering For Rural Development, Engineering for Rural Development, 1001-1006. DOI: 10.22616/ERDev2019.18.N076.
]Otwórz DOISearch in Google Scholar
[
Hristov, I., Chirico, A., The role of sustainability key performance indicators (KPIs) in implementing sustainable strategies, Sustainability, 11(20), DOI: 10.3390/su11205742
]Otwórz DOISearch in Google Scholar
[
Hys, K., 2015. Zjawisko koncentracji i delokalizacji w branży motoryzacyjnej. Handel Wewnętrzny, Instytut Badań Rynku, Konsumpcji i Koniunktur, 5(358), 163-175.
]Search in Google Scholar
[
Hys, K., Hawrysz, L., 2012. Corporate social responsibility reporting. China-USA Business Review, David Publishing Company, Inc., 11(11). DOI:10.17265/1537-1514/2012.11.009.
]Otwórz DOISearch in Google Scholar
[
Ingaldi, M., 2014. Use of the SWOT ANALYSIS and 3x3 matrix to determine the technological posistion of the chosen metal company. Acta Metall. Slovaca – Conf. 4, pp. 207–214. DOI: 10.12776/amsc.v4i0.248.
]Otwórz DOISearch in Google Scholar
[
Joppen, R., von Enzberg, S., Gundlach, J., Kuhn, A., 2019. Key performance indicators in the production of the future. 52nd Cirp Conference On Manufacturing Systems (Cms), Procedia CIRP, 81, 759-764. DOI: 10.1016/j.procir.2019.03.190.
]Otwórz DOISearch in Google Scholar
[
Kim, J., Oh, I., 2022. Adoption of emerging technologies and growth of manufacturing firms: the importance of technology types and corporate entrepreneurship. Technology Analysis & Strategic Management, DOI: 10.1080/09537325.2022.2149393
]Otwórz DOISearch in Google Scholar
[
Klimecka-Tatar, D., Ingaldi, M., 2020. Assessment of the Technological Position of a Selected Enterprise in the Metallurgical Industry. Materials Research Proceedings, 17, 72-78. DOI: 10.21741/9781644901038-11.
]Otwórz DOISearch in Google Scholar
[
Korzyński, M., Pacana A., 2010. Centreless burnishing and influence of its parameters on machining effects. Journal of Materials Processing Technology, 210, I:9, 1217-1223. DOI: 10.1016/j.jmatprotec.2010.03.008.
]Otwórz DOISearch in Google Scholar
[
Ligarski, MJ., Rozalowski, B., Kalinowski, K., 2021. A study of the human factor in industry 4.0 based on the automotive industry. Energies, 14(20), 6833. DOI: 10.3390/en14206833.
]Otwórz DOISearch in Google Scholar
[
Lyp-Wrońska, K., Wolniak, R., Sulkowski, M., 2018. determinant of quality in metalworking enterprises. 27th International Conference On Metallurgy And Materials (Metal 2018), 2029-2035.
]Search in Google Scholar
[
Makarova, I., Mukhametdinov, E., Gabsalikhova, L., Shepelev, V., Galiev, S., Buyvol, P., Drakaki, M., 2021. Ensuring reliability of the gearbox during operation stage. Proceedings Of The 7th International Conference On Vehicle Technology And Intelligent Transport Systems (Vehits), 768-774. DOI: 10.5220/0010530707680774.
]Otwórz DOISearch in Google Scholar
[
Maszke, A., Dwornicka, R., Ulewicz, R., 2018. Problems in the implementation of the lean concept at a steel works - Case study. MATEC Web of Conferences, 183.
]Search in Google Scholar
[
Manzano-Ibarra, M., Zamora-Sanchez, R., Medina-Chicaiza, P. 2019. Methodological proposal for generation of key performance indicators supported on information technology. 3C Tecnologia, 8(1), 10-28. DOI: 10.17993/3ctecno/2019.v8n1e29/10-29.
]Otwórz DOISearch in Google Scholar
[
Miskinis, GV. 2021. Transformation of the modern foundry. International Journal Of Metalcasting, 15(4), 1118-1128. DOI: 10.1007/s40962-021-00645-0.
]Otwórz DOISearch in Google Scholar
[
Murad, Ma., Thomson, JD., 2011. The importance of technology diffusion in Malaysian Manufacturing SMEs, Information And Financial Engineering. ICIFE 2011, International Proceedings of Economics Development and Research, 12, 81-85.
]Search in Google Scholar
[
Pacana, A., Czerwińska, K., Bednarova, L., 2019. Comprehensive improvement of the surface quality of the diesel engine piston. Metalurgija, 58 (3-4), 329-332.
]Search in Google Scholar
[
Pacana, A., Czerwińska, K., 2020. Improving the quality level in the automotive industry. Production Engineering Archives, 26(4), 162-164. DOI: 10.30657/pea.2020.26.29.
]Otwórz DOISearch in Google Scholar
[
Pietraszek, J., Radek, N., Goroshko, AV., 2020. Challenges for the DOE methodology related to the introduction of Industry 4.0. Production Engineering Archives, 26(4), 190-194. DOI: 10.30657/pea.2020.26.33.
]Otwórz DOISearch in Google Scholar
[
Pietraszek, J., Skrzypczak-Pietraszek, E., 2014. The optimization of the technological process with the fuzzy regression. Terotechnology, Advanced Materials Research, 874, 151+. DOI: 10.4028/www.scientific.net/AMR.874.151.
]Otwórz DOISearch in Google Scholar
[
PN-EN 1706:2011, Aluminum and aluminum alloys Castings. Chemical composition and mechanical properties, 2011, Warszawa: PKN.
]Search in Google Scholar
[
PN-EN 15341:2007, Maintenance – Maintenance Key Performance Indicators. 2007, Warszawa, PKN.
]Search in Google Scholar
[
Siegfanz, S., Gietler, A., Michels, W., Krupp, U., 2013. Influence of the microstructure on the fatigue damage behaviour of the aluminium cast alloy AlSi7Mg0.3, Materials Science and Engineering A-Structural Materials Properties Microstructure And Processing, 565, 21-26. DOI: 10.1016/j.msea.2012.12.047.
]Otwórz DOISearch in Google Scholar
[
Ulewicz, R., Czerwińska, K., Pacana, A., 2022. A Rank Model of Casting Non-Conformity Detection Methods in the Context of Industry 4.0. Materials 2023, 16, 723, DOI: 10.3390/ma16020723.
]Otwórz DOISearch in Google Scholar
[
Ulewicz, R., Mazur, M., 2019. Economic aspects of robotization of production processes by example of a car semi-trailers manufacturer. Manufacturing Technology, 19(6), 1054–1059
]Search in Google Scholar
[
Werner, MJE., Yamada, APL., Domingos, EGN., Leite, LR, Pereira, CR., 2021. Exploring organizational resilience through key performance indicators. Journal Of Industrial And Production Engineering, 38(1), 51-65, DOI: 10.1080/21681015.2020.1839582
]Otwórz DOISearch in Google Scholar
[
Wolniak, R., Szeptuch, A., Ziecina, G. 2017. Analysis of behavior of management in an international metallurgical company. using Cameron and Quinn typology, E-mentor, 2, 60-69.
]Search in Google Scholar
[
Zimmermann, G., Sturz, L., 2007. Microstructure formation in AlSi7Mg alloys directionally solidified in a rotating magnetic field, Steel Research International, 78(5), 379-385. DOI: 10.1002/srin.200705907.
]Otwórz DOISearch in Google Scholar
