Digital Engineering Strategies of Smart Production Systems
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Engineering".
Deadline for manuscript submissions: 31 January 2026 | Viewed by 991
Special Issue Editors
Interests: industry 4.0; industrial design; modelling of complex production systems; digital manufacturing and design of cyber-physical systems (CPS); algorithms and computational tools for enhanced manufacturing; machine learning algorithms for controlling of operations; digital twins
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Smart production systems are an emerging discipline that addresses a wide range of research issues related to the modelling, design, and deployment of digitized manufacturing systems. These include the design of advanced CPS, the deployment of IIoT networks for data collection, predictive algorithms, intelligent control systems, operational flexibility, the integration of mobile robots, methods to support a successful digital transition, the incorporation of human and environmental dimensions, cybersecurity, the integration of AI tools in process optimization, autonomous systems, cloud computing and, finally, the new skills required for this industrial revolution. For many of these challenges, new solutions are now possible thanks to remarkable advances in computing, communications, software, and robotics over the past decades. These advances provide industrial systems researchers and practitioners with a host of new and exciting problems and challenges to address.
This special issue seeks contributions that provide a scientific basis for the engineering of intelligent production systems. Contributions are invited from researchers and practitioners in various fields related to digitalized industry. Papers are sought in the following areas:
- Smart production systems research and practical applications.
- Integration framework.
- Digital production systems modeling methods.
- Multi-scale modeling of manufacturing systems.
- Distributed architectures for smart production systems.
- Simulation, optimization, and planning of production operations.
- Design and integration of cybersecurity methodology.
- Data, sensors, and analytics for IIoT modeling and management
- Data management and decisions.
- Applications of knowledge representation and reasoning (AI).
- Applications of machine learning (ML).
- Design and management methods of smart production.
- Design et integration of Digital twin systems.
- Cyber-physical systems modeling.
Prof. Dr. Khaled Benfriha
Dr. Esma TALHI
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. Systems 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 2400 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
- smart production system
- digital transition strategy
- digitalization methods
- integration technologies methods
- data-driven control
- cloud manufacturing
- IIoT systems cyber–physical production systems
- industrial distributed systems
- smart manufacturing control systems
- digital twin
- mobile manipulators
- state of research on digital engineering strategies
- smart production features
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