Advancing Systems Engineering in the Age of Digital Transformation

A special issue of Systems (ISSN 2079-8954). This special issue belongs to the section "Artificial Intelligence and Digital Systems Engineering".

Deadline for manuscript submissions: 15 December 2026 | Viewed by 2314

Editors


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Guest Editor
Sustainable Manufacturing Lab, Free University of Bozen-Bolzano, 39100 Bolzano, Italy
Interests: system-of-systems engineering; transdisciplinary systems engineering; model-based systems engineering (MBSE); multidisciplinary design optimization; sustainability development; resilience; digital engineering; multi-agent systems

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Guest Editor
Center of Excellence in Systems Engineering, Entrepreneurship and Innovative Design Accelerator, Purdue University Fort Wayne, Fort Wayne, IN 46805, USA
Interests: systems engineering; sustainable enterprise system design and leadership; manufacturing system design; model-based systems engineering (MBSE); digital thread; digital twin application development

Special Issue Information

Dear Colleagues,

The simultaneous pursuit of green and digital transformations presents both an unprecedented opportunity and a significant challenge for systems engineering (SE). While the green transition aims to ensure environmental sustainability and resilience, the digital transition focuses on leveraging emerging technologies to transform how systems are conceived, developed, and operated. Ideally, these two transitions reinforce one another; however, they can also lead to conflicting requirements, trade-offs, and unintended consequences.

To address these challenges, systems engineering approaches must evolve beyond their traditional boundaries. There is a growing need for transdisciplinary systems engineering (TSE) approaches that not only integrate insights across disciplines, but that also consider the broader environmental, social, and technological ecosystems in which systems operate. In an increasingly interconnected and uncertain world, addressing multifaceted complexity requires methods and tools capable of embracing both systemic interdependencies and contextual impacts.

This Special Issue invites original and innovative scientific contributions that advance the application of systems engineering in the context of the ongoing green and digital transitions. We particularly welcome research and practice-oriented submissions on SE, model-based systems engineering (MBSE), and multidisciplinary design optimization (MDO), with an emphasis on methods that adopt a system-of-systems perspective to address both interdisciplinary integration and transdisciplinary requirements.

Submissions may include methodological advancements, theoretical insights, or practical applications that respond to the complex, adaptive challenges of modern engineered systems, especially those promoting resilience, sustainability, and transdisciplinary thinking. This Special Issue aims to foster dialogue between academics and practitioners to collectively progress the state-of-the-art and state-of-the-practice in systems engineering.

We especially encourage contributions that address the following topics:

  • Transdisciplinary thinking;
  • System-of-systems engineering;
  • Enterprise systems engineering;
  • Systems engineering;
  • Model-based systems engineering (MBSE);
  • Agile systems engineering;
  • Systems engineering decision patterns;
  • Knowledge-based decision making in SE;
  • Project/program management and SE integration;
  • Artificial intelligence for SE and SE for artificial intelligence;
  • Multidisciplinary design optimization;
  • Resilience;
  • Adaptability;
  • Sustainability;
  • Digital engineering (digital models, digital shadows, and digital twins);
  • Green and digital transformation;
  • Requirements engineering;

Dr. Ali Asghar Bataleblu
Prof. Dr. David Cochran
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized 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

  • system-of-systems engineering
  • transdisciplinary systems engineering
  • model-based systems engineering (MBSE)
  • resilience
  • adaptability
  • sustainability
  • AI4SE and SE4AI
  • digital engineering

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Published Papers (2 papers)

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Research

26 pages, 3879 KB  
Article
Formalization of Requirements and Context Parameters for Model-Based Testing of Patient-Specific Medical Systems: Demonstration Using a Suture Anchor Use Case
by Franziska Wieja, Georg Jacobs, Philipp Waigand, Kathrin Boelsen and Thilo Zerwas
Systems 2026, 14(5), 540; https://doi.org/10.3390/systems14050540 - 10 May 2026
Viewed by 342
Abstract
The development of patient-specific medical systems poses challenges for requirements engineering and their traceable integration into system models, as regulatory frameworks require transparent and traceable links between stakeholder needs and product requirements. Document-based approaches lack the formal structure required to derive verifiable product [...] Read more.
The development of patient-specific medical systems poses challenges for requirements engineering and their traceable integration into system models, as regulatory frameworks require transparent and traceable links between stakeholder needs and product requirements. Document-based approaches lack the formal structure required to derive verifiable product requirements and integrate patient-individual parameters into testing processes. This study investigates how Model-Based Systems Engineering (MBSE) can formalize user needs, user requirements, and patient context parameters to enable a traceable, model-based testing of patient-specific systems. A SysML-based formalization approach is developed that extends the motego method. New stereotypes for user needs and user requirements are introduced and linked via SysML relations to stakeholders, use scenarios, and product requirements. A patient context model is proposed to represent patient-individual parameters and integrate them into a model-based test framework. The approach is demonstrated using an exemplary use case by instantiating representative user needs, user requirements, and patient context parameters and linking them to functions, solutions, and domain model elements within the test framework. An exemplary use case demonstrates the integration and transfer of context parameters. The results show a traceable chain between stakeholders and product requirements, as well as the consistent transfer of context parameters into domain model elements. The simulation is used exclusively as an executable component to demonstrate data integration and model consistency; no validation of physical accuracy is performed. Full article
(This article belongs to the Special Issue Advancing Systems Engineering in the Age of Digital Transformation)
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41 pages, 4656 KB  
Article
Exploring Transdisciplinarity in Systems Engineering to Develop Transdisciplinary Integration Capability and Process Meta-Level Conceptual Models
by Ali Asghar Bataleblu, John Arthur Poirier and Julia Taylor
Systems 2026, 14(5), 516; https://doi.org/10.3390/systems14050516 - 6 May 2026
Viewed by 1000
Abstract
Key challenges for the future Systems Engineering (SE) include practically converting concepts into actions that solve complex problems and implementing formalized Transdisciplinary Integration (TDI) approaches to achieve this. This paper starts with a literature review, which exposes specific gaps: Transdisciplinarity in SE as [...] Read more.
Key challenges for the future Systems Engineering (SE) include practically converting concepts into actions that solve complex problems and implementing formalized Transdisciplinary Integration (TDI) approaches to achieve this. This paper starts with a literature review, which exposes specific gaps: Transdisciplinarity in SE as a mindset is not well established and Transdisciplinary Integration Processes (TDIP) are not formalized and rigorously applied. Challenges are collected with a focus on “Transdisciplinarity in SE” as a meta-discipline in supporting TDI meta-model development. To this end, a TDI conceptual capability model comprising ends, ways, and means that coalesce transdisciplinary knowledge, methods, and stakeholder perspectives, and a TDIP model applicable across wide-ranging problem spaces and dimensions are proposed. A Disciplinarity Index (DI) is introduced to analyze a spectrum from Intra- to Alter-Disciplinarity; determine proportionality of problem dimensions, factors, and bounding aspects; and define a solution approach. The models are validated by applying the DI to four socio-technical problem domains ranging in scope and scale. This study concludes that the diverse challenges are approachable using the proposed conceptual foundation and models, which are unique in establishing a mechanism to blend disciplines, meet the challenges, and achieve Transdisciplinarity in the SE community while forming relations in the broader systems and transdisciplinary communities. Full article
(This article belongs to the Special Issue Advancing Systems Engineering in the Age of Digital Transformation)
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