Digital Twin Strategies for Systems Engineering
A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Systems Engineering".
Deadline for manuscript submissions: closed (29 February 2024) | Viewed by 571
Special Issue Editors
Interests: model-based systems engineering; cyber-physical systems; digital quality control; engineering education
Special Issues, Collections and Topics in MDPI journals
Interests: human systems engineering; re/manufacturing; systems simulation & automation; supply chain; engineering education
Interests: model-based systems engineering; enterprise transformation; digital engineering
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
Dear Colleagues,
Digital twins (DT) are defined as virtual models of systems where a combination of sensor-based data, advanced analytics, and modeling and simulation techniques are used to replicate the behavior and performance of a system in real-time. When integrated into a systems engineering framework, digital twins can support complex systems across their lifecycle. A digital replica of a system supports the design, analysis, development, and management of tasks, including achieving the desired performance requirements, understanding uncertainty, and optimizing their overall performance.
This integration of digital twins technology and systems engineering processes is evolving across various industries, such as manufacturing, aerospace, and healthcare, for system conceptualization, model verification, validation, maintenance, and product lifecycle management. This Special Issue summarizes these advances to inform the systems engineering community. Interested topics for submission to be considered in this Special Issue include, but are not limited to, the following:
- DT for system conceptualization and modeling;
- DT for dystem performance and diagnosis;
- Strategies for promoting traceability;
- DT strategies for system maintenance, testing, verification, and validation;
- Strategies and lessons learned for integrating digital twin technology across the SE lifecycle;
- DT for system visualization in its operational environment;
- Integration of model-based systems engineering (MBSE) methods;
- Models capturing functional and non-functional aspects of systems;
- Integration of simulation tools and sensors to extend system performance.
Dr. Aditya Akundi
Dr. Faisal Aqlan
Dr. Sergio Luna
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
- digital twins
- systems engineering
- MBSE
- digital engineering
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