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

• Published in: Analele Universitatii din Craiova. Seria stiinte economice Vol. 1; no. 51; pp. 68 - 74
• Main Authors: Andreea Gabriela Tănase, Daniela Șerban, Cosmin-Octavian Dobrin, Viorel - Costin Banța
• Format: Journal Article
• Language: English
• Published: Universitatea din Craiova 01-08-2023
• Subjects: am - additive manufacturing; economic development; erp; industry 4.0; investments; ml - machine learning; pp – production planning; rpa; sap
• ISSN: 1223-365X; 1843-3723

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.