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Assessment of Production Process Capability in the Serial Production of Components for the Automotive Industry

”. Measurement , vol. 96, pp. 24-33, Jan. 2017. [4] P. Bozek, P. Pokorny, J. Svetlik, A. Lozhkin and I. Arkhipov. “The calculations of Jordan curves trajectory of the robot movement”. International Journal of Advanced Robotic Systems , vol. 13, Oct. 2016. [5] D. de-Felipe and E. Benedito. “Monitoring High Complex Production Processes Using Process Capability Indices”. International Journal of Advanced Manufacturing Technologies , vol. 93, pp. 1257-1267, Oct. 2017. [6] J. Dobránsky, A. Panda and D. Manduľák. Quality Monitoring in Production of the Parts in

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Possibilities of Pressure Die Casting of Iron Alloys

continuous casting of steel In: Ironmaking & Steelmaking , 2013, pp. 304-309 [9] Bialy, W., Ruzbarsky, J.: Breakdown cause and effect analysis. Case study, In: Management Systems in Production Engineering , Vol. 26, Issue: 2, 2018, pp. 83-87 [10] Gaspar, S., Pasko, J.: Technological Aspects of Returnable Material Introducing within Die Casting Technology. In: Tem journal-technology education management informatics , Vol. 5, Issue: 4, 2016, pp. 441-445 [11] Dobransky, J., Ruzbarsky, J., Mandulak, D. et al.: Monitoring of the Production Process in Mass

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The method of improvement of quality of life of older people as users and maintainers of technical means in Smart City

.utrzymanieruchu.pl . Data odczytu: 1.02.2008. [Accessed 1 February 2008]. Brodny, J., Tutak, M. (2019). Analysing the Utilisation Efectiveness of Mining Machines Using Independent Data Acquisition Systems: A Case Study. Energies, 12, 13 (2505), pp. 1-15 Brodny, J., Tutak, M. (2018). Analysis of Methane Hazard Conditions in Mine Headings. Published on HRČAK: Tehnički vjesnik – Technical Gazette, 25(1), February 2018, pp. 271-276. Brodny, J., Tutak, M. (2018). Determination of the Zone with a Particularly High Risk of Endogenous Fires in the Goaves of a Longwall with

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CRM influence on organisational performance — the moderating role of IT reliability

. Navimipour N. J. 2018 The impact of the customer relationship management on the organization performance Journal of High Technology Management Research 29 237 246 Tsou, H. T., & Huang, Y. W. (2018). Empirical Study of the Affecting Statistical Education on Customer Relationship Management and Customer Value in Hitech Industry. Eurasia Journal of Mathematics , Science and Technology Education , 14 (4), 1287–1294. Tsou H. T. Huang Y. W. 2018 Empirical Study of the Affecting Statistical Education on Customer Relationship Management and

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Integration of digital technologies in the field of construction in the Russian Federation

governments to provide better public services to citizens. However, the impact of the use of digital technologies depends on improvements of the business climate, the efficiency of the education and healthcare systems and the existing management practices. These circumstances contribute to changes in roles performed by each participant of economic relations, including the state, in the process of economic transformation ( World Development Report, 2016 ). In 2017, Russia took action to form and develop the information society at the federal level, within the framework of

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Effect of Steel Cord Tension During the Lapping on Steel Cord Straightness After Lapping

REFERENCES Bely, V. D. and Goncharenko N. K. (1971), Issledovaniye NDS kanatov seriynogo izgotovleniya posle predvaritel’noy deformatsii [SSS research of serial production ropes after preliminary deformation] «Stal’nyye kanaty», vol. 8 - K., Tekhnika. p. 310; Blazhej, R. Jurdziak, L. Kozlowski, T. Kirjanow A. (2018), The use of magnetic sensors in monitoring the condition of the core in steel cord conveyor belts. Tests of the measuring probe and the design of the DiagBelt system, Measurement, Volume 123, pp. 48-53; Bobarikin, Yu. L. and

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Operationalising Responsible Research and Innovation – tools for enterprises

Technology Studies Business Ethics / CSR Philosophy of Management Innovation and Technology Management Systemic dimension micro meso macro Sectoral dimension Industry/Business Public Administration/Policy Bodies Universities and Research Institutions Organisational dimension Micro (individuals in an organisation) Meso (teams) Macro (organization as a whole) Place in innovation ecosystem Input Throughput Output Innovation type Low-tech innovation High-tech innovation Source: author’s elaboration on

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Development of intelligent agents through collaborative innovation

paper also presents some research questions, the answers to which are based on the preliminary qualitative study. Finally, conclusions are offered. 1 BVA in Business Interactions Research on Artificial Intelligence concerns any device that perceives its environment and takes actions to maximise its chances to successfully achieve its goals ( Russell and Norvig, 2009 ). Contemporary Artificial Intelligence is a discrete system that performs selected functions in one of three areas: interactions based on natural language, image recognition, biometrics and learning

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