In the context of Industry 4.0, intelligent manufacturing systems are the key to creating higher value-added processes and services that enable product customization. This is made possible by dynamically reconfiguring manufacturing systems based on customer needs. Robotic Process Automation (RPA) in manufacturing should only be implemented after correctly identifying those processes that can be automated. Management support for the implementation of RPA is required at all stages. RPA must be integrated into the company in convergence with the Enterprise Resource Planning (ERP) system in place. The study presents an applied research, the aim of which is a project to integrate advanced technologies for automated manufacturing of three-dimensional (3D) digital model objects into the production process management system of a factory in the automotive industry. The automotive sector needs to enable the use of artificial intelligence in terms of open innovation in both manufacturing and management. Research results show that robotic process automation is a key factor in transforming the business process in an automotive factory. The implementation of RPA in the automotive industry is a decision with a major impact on the efficiency of business processes in the Industry 4.0 era.
Automotive sector, Design of Industry 4.0 architecture, ERP, Additive manufacturing, Artificial intelligence, 3D printer, SAP.
Viorel-Costin BANȚA, Daniela ȚUȚUI, Ioan-Ștefan SACALĂ, Raluca-Florentina CREȚU, Elena Claudia ȘERBAN, "Manufacturing Processes in the Era of Industry 4.0. Case Study: Analysis of a System Architecture in Automotive Industry", Studies in Informatics and Control, ISSN 1220-1766, vol. 33(3), pp. 93-102, 2024. https://doi.org/10.24846/v33i3y202409
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