From real – time manufacturing to IoT digital technologies

Elisabeta Mihaela Ciortea
Additional contact information
Elisabeta Mihaela Ciortea: Faculty of Engineering Sciences, “1 Decembrie 1918” University of Alba Iulia, RO

Technium, 2020, vol. 2, issue 4, 13-20

Abstract: The paper deals with several aspects of Petri networks, their implications in the modeling, analysis, synthesis and implementation of systems in the field of manufacturing. Since these aspects are being analyzed based on discrete events systems and because everything is done in real time, it is recommended that digital technology is accessed using IoT devices. For the chosen manufacturing system, we will only model and analyze the sectors in which the importance of the component systems can be highlighted in real time. Even though Petri networks are no longer secret in use, they are easy to use in simulation and modeling, and the resulting diagrams are easy to interpret. The synthesis and implementation proposed in this paper are considered cloud-based because the security of information is much more complex. The tracking and control system is proposed to be managed using IoT systems and all levels to provide the most accurate security of the manufacturing process. This system can be used in enterprises that adopt the implementation of IoT systems, implement digital technology. The system can only be applied to manufacturing sectors, and should not cover the whole system from supply to disposal.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
https://techniumscience.com/index.php/technium/article/view/793 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:tec:techni:ojs:793

DOI: 10.47577/technium.v2i4.793

Access Statistics for this article

Technium is currently edited by Scurtu Ionut Cristian

More articles in Technium from Technium Science
Bibliographic data for series maintained by Ana Maria Golita ().