Development of Learning Factory Directory - DoLF

Hegedić, Miro; Gregurić, Petar; Golec, Matija; Gudlin, Mihael

doi:10.1109/infoteh53737.2022.9751321

Cited by 2 publications

(2 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To accelerate directory development, it was decided that it would be developed using no-code tools selected to meet the required criteria. Selection process and technical details of selected no-code tools are explained in detail by Hegedić et al in [13]. Statistical analysis of the data entered in the directory determined the current state of learning factories in order to identify which technologies and areas of learning are most represented.…”

Section: Methodsmentioning

confidence: 99%

Design and Establishment of a Learning Factory at the FMENA Zagreb

Hegedić

Gudlin

Štefanić

et al. 2022

Teh. glas. (Online)

Self Cite

View full text Add to dashboard Cite

Accelerated technology developments caused by Industry 4.0 create problems in its implementation. One of the most important factors that hinder the transition of companies is ignorance and, therefore, the fear of new technologies present among employees. Learning factories have proven to be one of the best solutions for introducing employees to the technologies of Industry 4.0. Croatia is significantly behind in implementing the features of Industry 4.0, especially compared to more developed countries. To facilitate the transition of the Croatian industry to Industry 4.0, it is necessary to acquaint existing and future employees with its technologies through learning factories. There is currently only one learning factory in Croatia, which is too few. This paper presents the process of design and establishment of a learning factory at the Faculty of Mechanical Engineering and Naval Architecture in Zagreb, which facilitates research work and education of students and employees with Industry 4.0.

show abstract

Section: Methodsmentioning

confidence: 99%

Design and Establishment of a Learning Factory at the FMENA Zagreb

Hegedić

Gudlin

Štefanić

et al. 2022

Teh. glas. (Online)

Self Cite

View full text Add to dashboard Cite

show abstract

“…The development of a simulation platform for the application of mobile robotics is carried out by Hegedić et al [22]. This platform makes it possible to test different scenarios and evaluate the performance of mobile robots in a virtual environment.…”

Section: Agv Systemsmentioning

confidence: 99%

Digital Twin and Simulation Analyses for Process Optimization of an Automated Guided Vehicle System

Schulze,

2024

Teh. glas. (Online)

View full text Add to dashboard Cite

Development in industrial companies aims to digitize processes, ensure traceability and advance automation. Systems with automated guided vehicles (AGVs) can help meet these objectives. A core element of these systems is the higher-level system controller. When an AGV system is operated, some dynamic aspects appear. It is then to identify, that the previous specified rules for scheduling and routing of vehicles are not always proper and practical, which may result in waiting time of AGVs. That means the static performance requirements and the specifications based on them often lead to suboptimal results. A methodical problem-solving approach is to develop a digital twin as a reflection of reality and to carry out strategy analyses using simulation. For this purpose, a digital twin of the concerned AGV system with five vehicles and its technological environment is created using software of plant simulation. Various simulation scenarios are developed to simulate material flows by using different routing and scheduling rules and strategies. Drawing from the insights gained through the digital twin and simulation analyses, this study identifies novel scheduling and routing rules for the AGV system. These rules improve the overall efficiency and effectiveness of the system operations by easing traffic congestion, reducing transit time, and minimizing production downtime.

show abstract

Development of Learning Factory Directory - DoLF

Cited by 2 publications

References 8 publications

Design and Establishment of a Learning Factory at the FMENA Zagreb

Design and Establishment of a Learning Factory at the FMENA Zagreb

Digital Twin and Simulation Analyses for Process Optimization of an Automated Guided Vehicle System

Contact Info

Product

Resources

About