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The Impact Of Intelligent Technologies In The Context Of Industry 4.0 On The Production Processes Found In The Automotive Industry. A Case Study Of Investment

Author

Listed:
  • Andreea Gabriela Tănase

    (The Bucharest University of Economic Studies, Bucharest, Romania)

  • Daniela Șerban

    (The Bucharest University of Economic Studies, Bucharest, Romania)

  • Cosmin-Octavian Dobrin

    (The Bucharest University of Economic Studies, Faculty of Managements, Management Department, Bucharest, Romania)

  • Viorel - Costin Banța

    (The Bucharest University of Economic Studies, Faculty of Accounting and Management, Information Systems, Management Information Systems Department, Bucharest, Romania)

Abstract

This case study aims to analyse the impact that intelligent technologies have on production processes in the adaptation and adoption context of a series of applications designed to help certain automate steps in the analysed economic processes - supply, production, storage , sale. Intelligent technologies, part of Industry 4.0, have had over the years a significant impact on the companies that use such IT solutions, which have been adapted to the new requirements that came as a result of mankind’s evolution. These intelligent technologies, which are part of Industry 4.0, provide those who use them, the possibility to have a critical perspective, which can have a major impact on innovation and research in the businesses they run. Regarding Industry 4.0, we can discuss a series of technologies that have helped and will help to implement this innovative concept, such as AI (Artificial Intelligence, RPA (Robotic Process Automation), iRPA (Intelligent Robotic Process Automation), IoT (Internet things), ML (Machine learning) or notions such as Big Data, Analytics or Cloud Computing. The case study presented by the authors of this article is intended to provide a suggestive image of the implementation of RPA technologies in a car subassembly production factory, related to the automotive industry, from Romania - the studied is found in the painting of multi-faced sub-assemblies as part of the work area.

Suggested Citation

  • Andreea Gabriela Tănase & Daniela Șerban & Cosmin-Octavian Dobrin & Viorel - Costin Banța, 2023. "The Impact Of Intelligent Technologies In The Context Of Industry 4.0 On The Production Processes Found In The Automotive Industry. A Case Study Of Investment," Annals of University of Craiova - Economic Sciences Series, University of Craiova, Faculty of Economics and Business Administration, vol. 1(51), pages 68-74, August.
    • Handle: RePEc:aio:aucsse:v:1:y:2023:i:51:p:68-74
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    More about this item

    Keywords

    Industry 4.0; ERP; SAP; RPA; AI; ML - Machine Learning; PP – Production Planning; AM - Additive manufacturing; economic development; investments;
    All these keywords.

    JEL classification:

    • C61 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Optimization Techniques; Programming Models; Dynamic Analysis
    • M15 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Business Administration - - - IT Management
    • M41 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Accounting - - - Accounting
    • P41 - Political Economy and Comparative Economic Systems - - Other Economic Systems - - - Planning, Coordination, and Reform

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