Thesis supervisor: Andrea Kő
co-supervisor: Gábor András Nick
Location of studies (in Hungarian): Budapesti Corvinus Egyetem Abbreviation of location of studies: BCE
Description of the research topic:
The Industry 4.0 paradigm includes IT solutions to support the manufacturing and logistics processes, a combination of hardware and software tools, and their use in the network. This is the key to the competitiveness of manufacturing and logistics.
Today's state-of-the-art simulation and data analysis software, as well as readily available computing capacities, allow for detailed examination and optimization of highly complex production systems. In the field of manufacturing and logistics, discrete, event-based simulation modelling and the related detailed data analysis offer many opportunities to optimize the company's processes, both in terms of volume and the quality parameters. The development and use of the company's digital twin model have become a strategic factor in everyday practice. Its implementation is not trivial, and it requires cooperation and continuous data-based interaction between IT, business, and the production departments.
The research aims to produce simulation models for production systems and/or logistic networks, examine these models and related methods, analyze their practical utilization, and identify the benefits and challenges.
Number of students who can be accepted: 2
Deadline for application: 2021-04-30
2024. IV. 17. ODT ülés Az ODT következő ülésére 2024. június 14-én, pénteken 10.00 órakor kerül sor a Semmelweis Egyetem Szenátusi termében (Bp. Üllői út 26. I. emelet).
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