Special Issue "Monitoring and Control of Processes in the Context of Industry 4.0"

A special issue of Processes (ISSN 2227-9717). This special issue belongs to the section "Process Control and Supervision".

Deadline for manuscript submissions: 28 February 2023 | Viewed by 79

Special Issue Editors

Prof. Dr. Ján Piteľ
E-Mail Website
Guest Editor
Department of Industrial Engineering and Informatics, Technical University of Kosice, 080 01 Presov, Slovakia
Interests: modelling; simulation and control of machines and processes
Special Issues, Collections and Topics in MDPI journals
Prof. Dr. Ivan Pavlenko
E-Mail Website
Guest Editor
Department of Computational Mechanics named after V. Martsynkovskyy, Faculty of Technical Systems and Energy Efficient Technologies, Sumy State University, 40007 Sumy, Ukraine
Interests: numerical simulation and experimental research of hydrodynamic; heat and mass transfer processes
Special Issues, Collections and Topics in MDPI journals
Dr. Sławomir Luściński
E-Mail Website
Guest Editor
Department of Production Engineering, Kielce University of Technology, Faculty of Management and Computer Modelling, Aleja Tysiąclecia Państwa Polskiego 7, 25-314 Kielce, Poland
Interests: computer modeling and simulation in production and logistics; Industry 4.0
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue, titled “Monitoring and Control of Processes in the Context of Industry 4.0”, aims to highlight the novel advances in process monitoring and control according to Industry 4.0 requirements. The real-time monitoring of processes and their advanced control using soft computing require a full digitalization of processes, resulting in their digital twins which are connections between the real and virtual world. Online digital twins require a reliable connection with the real processes and therefore technologies such as smart sensors and smart metering, IoT and signal processing play an important role. Vision systems, clouds and data mining are of great importance for data acquisition, storage and processing for quality control purposes. Topics will include, but are not limited to:

  • The real-time monitoring of processes;
  • Advanced control of processes using soft computing;
  • Digitalization of processes, interfaces and digital twins;
  • Smart sensors and smart metering in processes and signal processing;
  • Vision and measuring systems for quality control;
  • Data acquisition, storage and processing;
  • Virtual, augmented and mixed reality in processes;
  • Predictive maintenance and forecasting in processes.

Prof. Dr. Ján Piteľ
Prof. Dr. Ivan Pavlenko
Dr. Sławomir Luściński
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Processes is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • monitoring
  • process control
  • digital twin
  • quality control
  • Industry 4.0

Published Papers

This special issue is now open for submission.
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