[
Alcácer, V. (2019). Scanning the Industry 4.0: A literature review on technologies for manufacturing systems, Engineering Science and Technology, an International Journal 22(3): 899–919.
]Search in Google Scholar
[
Alpar, P. and Schulz, M. (2016). Self-service business intelligence, Business and Information Systems Engineering 58: 151–155, DOI: 10.1007/s12599-016-0424-6.
]Open DOISearch in Google Scholar
[
Borkowski, B., Dudek, H. and Szcz˛esny, W. (2017). Econometrics: Selected Issues, PWN, Warsaw, (in Polish).
]Search in Google Scholar
[
Broy, M. (2010). Cyber-Phisical Systems. Innovation Durch Software-Intensive Eingebettete Systeme, Springer, Munich.
]Search in Google Scholar
[
Chen, W., Li, Y., Xue, W., Shahabi, H., Li, S., Hong, H., Wang, H., Bian, H., Zhang, S., Pradhan, B. and Ahmad, B. (2020). Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods, Science of the Total Environment 701: 134979, DOI: 10.1016/j.scitotenv.2019.134979.
]Open DOISearch in Google Scholar
[
Chomienne, V., Valiorgue, F., Rech, J. and Verdu, C. (2016). Influence of ball burnishing on residual stress profile of a 15-5PH stainless steel, CIRP Journal of Manufacturing Science and Technology 13: 90–96.10.1016/j.cirpj.2015.12.003
]Search in Google Scholar
[
DAT (2016). Kompetenzentwicklungsstudie Industrie 4.0: Erste Ergebnisse und Schlussfolgerungen, Acatech, Munich, https://www.acatech.de/publikation/kompetenzentwicklungsstudie-industrie-4-0-erste-ergebnisse-und-schlussfolgerungen/.
]Search in Google Scholar
[
de Lacalle, L.N., Rodríguez, A., Lamikiz, A., Celaya, A. and Alberdi, R. (2011). Five-axis machining and burnishing of complex parts for the improvement of surface roughness, Materials and Manufacturing Processes 26(8): 997–1003.10.1080/10426914.2010.529589
]Search in Google Scholar
[
Dumitrescu, R., Gausemeier, J. and Kühn, A. (2015). Auf dem Weg zu Industrie 4.0: Erfolgsfaktor Referenzarchitektur, Technical report TR-47, it‘s OWL Clustermanagement GmbH (Hrsg.), Paderborn, https://www.its-owl.de/fileadmin/PDF/Informationsmaterialien/2015-Auf_dem_Weg_zu_Industrie_4.0_Erfolgsfaktor_Referenzarchitektur.pdf.
]Search in Google Scholar
[
Farzaneh, M., Isaai, M., Arasti, M. and Mehralian, G. (2018). A framework for developing business intelligence systems: A knowledge perspective, Management Research Review 41(12): 1358–1374, DOI: 10.1108/MRR-01-2018-0007.
]Open DOISearch in Google Scholar
[
Hassan, A. and Maqableh, A. (2000). The effects of initial burnishing parameters on non-ferrous components, Journal of Materials Processing Technology 102(1–3): 115–121.10.1016/S0924-0136(00)00464-7
]Search in Google Scholar
[
Jaworski, M. (2018). Regression function and noise variance tracking methods for data streams with concept drift, International Journal of Applied Mathematics and Computer Science 28(3): 559–567, DOI: 10.2478/amcs-2018-0043.
]Open DOISearch in Google Scholar
[
Jeehyeong, K., Guejong, J. and Jongpil, J. (2019). A novel CPPS architecture integrated with centralized OPC UA server for 5G-based smart manufacturing, Procedia Computer Science 155: 113–120.10.1016/j.procs.2019.08.019
]Search in Google Scholar
[
Kagermann, H., Wahlster, W. and Helbig, J. (2013). Recommendations for Implementing the Strategic Initiative INDUSTRIE 4.0, Technical report, Acatech, Frankfurt/Main, htthttps://www.din.de/blob/76902/e8cac883f42bf28536e7e8165993f1fd/recommendations-for-implementing-industry-4-0-data.pdf.
]Search in Google Scholar
[
Kowalik, P. (2012). The use of spreadsheets to select response variables using the information capacity index method (Hellwig’s method), in Z.E. Zieliński (Ed), The Role of Informatics in the Economic and Social Sciences: Innovation and Interdisciplinary Implications, Vol. 2, WSH Publishing House, Kielce, pp. 168–178, (in Polish).
]Search in Google Scholar
[
Krupitzer, C., Muller, S., Lesch, V., Zufle, M., Edinger, J., Lemken, A., Schafer, D., Kounev, S. and Becker, C. (2020). A survey on human machine interaction in industry 4.0, ArXiv: abs/2002.01025.
]Search in Google Scholar
[
Meissner, H. and Aurich, J.C. (2019). Implications of cyber-physical production systems on integrated process planning and scheduling, Procedia Manufacturing 28: 167–173.10.1016/j.promfg.2018.12.027
]Search in Google Scholar
[
Mourtzis, D. (2020). Simulation in the design and operation of manufacturing systems: State of the art and new trends, International Journal of Production Research 58(7): 1927–1949.10.1080/00207543.2019.1636321
]Search in Google Scholar
[
Posdzich, M., Stöckmann, R., Witt, M. and Putz, M. (2010). Determination of surface shape deviation by using force-controlled burnishing, Procedia CIRP 93: 1275–1280.10.1016/j.procir.2020.04.095
]Search in Google Scholar
[
Rojas, R., Rauch, E., Vidoni, R. and Matt, D.T. (2017). Enabling connectivity of cyber-physical production systems: A conceptual framework, Procedia Manufacturing 11: 822–829.10.1016/j.promfg.2017.07.184
]Search in Google Scholar
[
Roldán, J., Crespo, E. and Martín-Barrio, A. (2019). A training system for Industry 4.0 operators in complex assemblies based on virtual reality and process mining, Robotics and Computer-Integrated Manufacturing 59: 305–316, DOI: 10.1016/j.rcim.2019.05.004.
]Open DOISearch in Google Scholar
[
Tonelli, F., Demartini, M., Pacella, M. and Lala, R. (2021). Cyber-physical systems (CPS) in supply chain management: From foundation to practical implementation, Procedia CIRP 99: 598–603.10.1016/j.procir.2021.03.080
]Search in Google Scholar
[
Trabesinger, S., Pichler, R., Schall, D. and Gfrerer, R. (2019). Connectivity as a prior challenge in establishing CPPS on basis of heterogeneous IT-software environments, Procedia Manufacturing 31: 370–376.10.1016/j.promfg.2019.03.058
]Search in Google Scholar
[
Tutunea, M. and Rus, R. (2012). Business intelligence solutions for SME’s, Procedia Economics and Finance 3: 865–870.10.1016/S2212-5671(12)00242-0
]Search in Google Scholar
[
Wang, W., Zhang, Y. and Zhong, R. (2020). A proactive material handling method for CPS enabled shop-floor, Robotics and Computer-Integrated Manufacturing 61: 101849, DOI: 10.1016/j.rcim.2019.101849.
]Open DOISearch in Google Scholar
[
Wojnakowski, M., Wiśniewski, R., Bazydło, G. and Popławski, M. (2021). Analysis of safeness in a Petri net-based specification of the control part of cyber-physical systems, International Journal of Applied Mathematics and Computer Science 31(4): 647–657, DOI: 10.34768/amcs-2021-0045.
]Open DOISearch in Google Scholar
[
Yli-Ojanpera, M., Sierla, S., Papakonstantinou, N. and Vyatkin, V. (2019). Adapting an agile manufacturing concept to the reference architecture model Industry 4.0: A survey and case study, Journal of Industrial Information Integration 15: 147–160, DOI: 10.1016/j.jii.2018.12.002.
]Open DOISearch in Google Scholar
