Thesis topics
Development of an Industry 4.0-based manufacturing process in a laboratory environment
title
Development of an Industry 4.0-based manufacturing process in a laboratory environment
institution
doctoral_school
supervisor
discipline
description
Industrial digitalization, similar to previous industrial revolutions, emerges at different speeds across
various industries. Due to technological diversity, digitalization must be viewed as an ongoing
process that now affects not only field devices (e.g., CNC machines, robots) but increasingly also the
domain of production management.
The goal of the research is to create a production management system within a laboratory
environment. It should be capable of addressing the diversity of industrial equipment and providing
decision support that simultaneously optimizes multi-level objectives, such as individual machine
performance, production line efficiency, and system-level energy efficiency. The optimization should
be done on the base of adequate level of automation and the proper flexible manufacturing cells.
Decision-making support of production management utilizes not only manufacturing technologies but
also logistics and information technology, making this a truly multidisciplinary field.
The research freely crosses the boundaries between ERP, MES, and machine-level systems to support
suitable structures for micro- and small-sized enterprises.
Current devices: Availability of a laboratory environment with CNC machines, a welding
robot, and an assembly production line (Festo).
Applied technologies: UPC UA or other communication protocols, SQL/NoSQL Database,
R/Python (or other languages)
various industries. Due to technological diversity, digitalization must be viewed as an ongoing
process that now affects not only field devices (e.g., CNC machines, robots) but increasingly also the
domain of production management.
The goal of the research is to create a production management system within a laboratory
environment. It should be capable of addressing the diversity of industrial equipment and providing
decision support that simultaneously optimizes multi-level objectives, such as individual machine
performance, production line efficiency, and system-level energy efficiency. The optimization should
be done on the base of adequate level of automation and the proper flexible manufacturing cells.
Decision-making support of production management utilizes not only manufacturing technologies but
also logistics and information technology, making this a truly multidisciplinary field.
The research freely crosses the boundaries between ERP, MES, and machine-level systems to support
suitable structures for micro- and small-sized enterprises.
Current devices: Availability of a laboratory environment with CNC machines, a welding
robot, and an assembly production line (Festo).
Applied technologies: UPC UA or other communication protocols, SQL/NoSQL Database,
R/Python (or other languages)
student count limit
2
location
Szombathely, Budapest
deadline
2026-05-31