bluuebunny/crossref_metadata_2025 huggingface dataset:
Models, Models Everywhere! A practitioners view on the reality of modeling
Authors: Kemp Duncan , Hoffman Christopher , O'Neil Meaghan
Published: September 2024

This paper addresses three of the most common real‐world challenges to modeling. The INCOSE Vision 2035 correctly states that the future of SE is Digital and Model Based. Achieving this requires significant development of the state of the art in Digital Engineering and Modeling. The focus of this paper is, however, the significant gap between the current potential of today's models and the actual practice. As practitioners each with over 20+ years of industrial experience, the authors describe problems that plague current modeling practice. The paper: describes the different types of models and their uses; provides a high‐level generic model development approach; and addresses some of the real‐world challenges that modelers and their managers need to address.
Empowering Model‐Based Systems Engineering Through Metamodeling
Authors: Wise Richard , Zimmer Rhett
Published: September 2024

A critical enabler for Model‐Based Systems Engineering (MBSE) and Digital Engineering (DE) is the generation of coherent and consistent views of a system‐of‐interest based on information within a system model. In practice, system model development is facilitated through domain‐specific profiles, style guides, reference models, and low‐fidelity meta‐models to create coherent and consistent system information. Each of these approaches are useful but are insufficient for robust and automated verification of system models to an ideal. Furthermore, the expression of domain‐specific concepts and semantics relies on the proliferation of non‐standard, domain‐specific profiles as standard system modeling languages like the Systems Modeling Language (SysML) are general purpose. This paper proposes a novel approach to creating precise, machine‐interpretable metamodels implemented as a lightweight Unified Modeling Language (UML) profile. The profile includes numerous features that allow model architects to quickly specify context and domain‐specific modeling constructs without creating non‐standard stereotypes to apply domain‐specific meaning and usage rules. Three kinds of constraints can be inferred based on the relationships between meta‐model elements: type, multiplicity, and default value. Applications of well‐formed metamodels include a shared understanding of the intended model format and structure, as well as the one‐time programmatic generation of an encompassing suite of validation rules to evaluate a system model against the inferred constraints, thus ensuring consistency. Additional applications include programmatic generation of model analysis metrics, system models from metamodels, metamodels from reference models and element finding queries, and the ability to update a system model based upon the updated metamodel automatically. Use of the approach results in reduced time in system model development and analysis and ensures coherency and consistency of information thus increasing stakeholder use and confidence in the system model.
The Importance of Being Björn – Experiences from Five Age Cohorts of Female Systems Engineers
Authors: Johansson Marianne , Axehill Johanna Wallén , Larsson Åsa Nordling , Cederberg Linda , Chiesi Stephanie Sharo , Palmer Erika
Published: September 2024

This paper gives an overview of the situation for Swedish female systems engineers at an engineering‐dense company (Saab Group) and societal factors of impact for their situation. We have interviewed five age cohorts of female systems engineers and let them share their personal experiences. Some key findings are that the older age cohorts have paved the way for the younger, but that has in many cases been costly for the individuals. Changes in society have in general contributed to better conditions for female engineers, e.g., parental leave compensation and possibility for childcare at a low cost. A remaining problem is the lower proportion of female technical leaders compared to female systems engineers. Females are often encouraged to take roles as project manager or line manager, and therefore technical leadership roles still are heavily male dominated.
Aligning technical and project management through participatory approaches: An industrial case study
Authors: Garza‐Morales Gisela A. , Nizamis Kostas , den Haan Robert‐Jan , Gosselink Guido , Bonnema G. Maarten
Published: September 2024

The importance of managing complexity in innovation has been highlighted both in research and practice, however the question remains: how can this be accomplished? Although there have been answers to this question, the practical alignment of process (project management) and system (technical management) viewpoints remains understudied. We responded to this challenge with an in‐depth case study in high‐tech industry. In this paper we applied Human Centered Design (HCD) and Action Research (AR) principles in a novel context, namely systems engineering. We identified main barriers and key players, essential information elements, and solution requirements. Using co‐design, we iteratively generated solution concepts, out of which we selected and evaluated one candidate concept. We highlight two main areas in our results: 1) how participatory approaches can support solving systems engineering challenges in practice; and 2) how to align the process and system viewpoints. For the first, we discuss the implications, considering aspects like the time and effort investment, along with the benefits of ownership, empathy, democracy, and collective learning. Our insights show potential to further build on the application of participatory approaches in systems engineering to match existing solutions to the practice. For the latter one, we reflect on issues such as information overload, human aspects, and the new relationship between project managers and systems engineers. Considering the current complexity demands, it is crucial to establish a better alignment between these roles and between process and system viewpoints, as they cannot be left undefined and unsupported any longer.
A Systematic Literature Review of Policy Analysis and Modeling in Systems Engineering
Authors: Bhada Shamsnaz Virani , Polojärvi Dana , Palmer Erika
Published: September 2024

The International Council on Systems Engineering (INCOSE) defines systems engineering as “a transdisciplinary and integrative approach to enable the successful realization, use, and retirement of engineered systems, using systems principles and concepts, and scientific, technological, and management methods.” The evolution of engineering practices requires new research in the disciplinary intersections of scientific, technological, and management methods, especially when considering the INCOSE System Engineering Vision of 2035, which identified political, economic, social, technical, environmental, and legal factors as becoming modern tenets of system engineering success. Because vast amounts of research have been performed in multidisciplinary engineering areas, this paper examines the research landscape at the intersection of policy modeling and systems engineering by providing a systematic review of the literature to help guide future research based on trends and various guiding considerations. The results of this study will help identify gaps in the field while clarifying future research needs. We have applied the preferred reporting items for systematic reviews and meta‐analyses (PRISMA) protocol, which yielded 38 peer‐reviewed papers related to policy modeling and systems engineering.
Securing Your Eggs in Multiple Baskets — Assuring a Resilient and Secure Supply Chain
Authors: Hause Matthew , Brooks Mitchell , Kennedy Robert
Published: September 2024

The global supply chain is a complex system of systems made up of and relying on other complex systems of systems (SoS) to achieve its goals. To take a typical example, Enterprise A is supplied essential parts on a regular basis to manufacture its products. To place the order requires global financial systems, integrated email systems, the internet, multiple telecommunications systems, and supply software provided by large companies. To deliver the parts may require air and maritime transportation systems, the rail network, interstate highway systems, road haulage companies, state and local transportation systems and so forth. When any of these complex systems fail, the impact can be global, and the results catastrophic. Recent examples include the shortage of Personal Protective Equipment (PPE) during the COVID pandemic, computer chip shortages delaying the assembly and sales of cars, and, most recently, the baby formula shortage. These were due to disruptions in the supply chain caused by an overreliance on single sourced suppliers who failed to deliver, transportation disruptions, outsourcing of critical parts, supplies, medicines to distant countries, and/or an overreliance on “Just In Time” for inventory management. This is the case of placing too many eggs in too few baskets, and often just one basket. Counterfeit or substandard parts and products can enter the supply chain via graft, breaks in chain of custody, or carelessness. This has included critical mechanical parts on aircraft, chips containing spyware, and substandard or out of date medicines substituted for the real thing resulting in serious illness and death. This complex SoS needs to be examined, studied, and understood in the same way as a mission critical system; threats, vulnerabilities, and risks need to be identified and mitigated and assurance cases defined to ensure a solid and reliable supply chain. This paper will look at the supply chain of an example factory system to determine how some of these problems can be predicted, prevented, mitigated, and solved using the UAF, RAAML and assurance case techniques.
A Method for Human Systems Integration Requirements within Model Based Systems Engineering
Authors: Corl Kenneth , Gallegos Erika
Published: September 2024

The Department of Defense (DoD) employs broad human factors requirements across various applications, resulting in a universal application of the same standards to a multitude of DoD acquisition systems. In unconventional warfare, specifically within missions conducted by US Special Operations Command (USSOCOM), operators face intensified workloads and domain‐specific challenges that current human factors considerations do not adequately address. The objective of this paper aims to introduce a novel framework, the Relational and Technological Capstone (RTC), designed to expand existing Human Systems Integration (HSI) requirements. The objective is to enhance the consideration of human factors in USSOCOM missions by addressing the unique challenges posed by intensified workloads and domain‐specific ontologies. The RTC employs a methodology‐driven approach utilizing both architectural and parametric diagrams. It integrates with Model Based Systems Engineering (MBSE) to improve the design of human‐system interactions, incorporating a Special Operations Task List and Performance Shaping Factors (PSFs) into aggregated parametrics. The results of this paper demonstrate the efficacy of RTC within MBSE, showcasing its value through improved design processes and as a foundation for new programs. The containment tree format aids in developing USSOCOM MBSE and opens possibilities for automation tools. Continual use of RTC contributes to the maturity of MBSE models and diagrams, fostering the evolution of a federation‐of‐models and Program of Record standards. This not only benefits subsequent SOCOM programs and projects but also facilitates cross‐cooperation with other nations in optimizing special operation acquisitions. The ultimate goal is to center the RTC around the operator, ensuring compatibility and optimization across cooperative nations' special operation acquisitions.
Hardware‐in‐the‐Loop with SysML and Cameo Systems Modeler
Authors: Helle Philipp , Schramm Gerrit
Published: September 2024

This paper describes an approach for Hardware‐in‐the‐Loop simulations with SysML models in the Cameo Systems Modeler tool. It is based on a plugin called MQTT Simulation Connector that enables bidirectional communication between the tool and hardware components using the MQTT protocol. The paper presents the applicable requirements and constraints that were considered, describes the MQTT Simulation Connector in detail and shows an example of its use in the form of a Smart Home demonstrator.
Unlocking Synergy: Leveraging SysML and Modelica with Bi‐Directional Transformation and Simulation Integration Standards
Authors: Pepper Brian , Arifin Habibi Husain , Pavalkis Saulius , Matam Jyothi , Kratzke Ronald
Published: September 2024

Both the SysML and Modelica standards are used in the field of Systems Engineering (SE) to model systems from different perspectives, on different abstraction levels. SysML is strong when modeling systems on a functional level because it provides different views. With the capabilities of other simulation specifications, the engineers can simulate the system architecture. On the other hand, an open standard, such as Modelica is a key enabler for representing multi‐physical systems described by differential, algebraic, and discrete equations. With the symbolic manipulation, the dynamics of the systems are represented in state space form, and solved by the numerical integration methods fixed or variable step. However, it is clear that the connection between systems engineering and system simulation, with their respective domain knowledge of the actual equipment in their system, is missing. By seeing these complementary values, the authors demonstrate language interaction to integrate SysML and Modelica to achieve complimentary values through bi‐directional transformation and simulation.
Applied Ideation Methodology Selector Tool
Authors: Lindell Martin , Mansfield Benjamin , Olson Michael , Storey Carson , Wolf Matthew , Wood Emily , Weaver Jonathan
Published: September 2024

In engineering and product development, it is challenging to identify the most promising opportunities to work on, translate those opportunities into well‐defined problem statements, generate many alternative concepts, and select/implement the most promising concepts. Many well‐known tools aim to put structured processes around the ideation or concept generation phase, including, but not limited to, Theory of Inventive Problem Solving (TRIZ), Yilmaz et al. 77 Design Heuristics, Biomimicry, and Brainwriting. Herein, the authors identify thirteen methods specific to concept generation, clearly define and differentiate what these methods excel at, and provide structured reasoning as to why some methods are preferred in various situations over others. Following this reasoning the authors propose a Microsoft Excel‐based tool built off a modified version of Analytic Hierarchy Process (AHP) that with user input will recommend the best set of ideation methodologies for the users' scenario. Seven criteria definitions were established to differentiate and rank each ideation methodology. Multiple test cases demonstrate the results of the selection tool to be predictable and rational. Possible future work includes adding additional ideation methodologies to the Excel based tool, further validation by more users, and expanding it to include tools for both problem definition and concept selection/implementation methodologies. The authors feel that doing great systems engineering must begin with a great architecture/concept, and this tool can facilitate routine development of highly innovative, high‐valued solutions that, when well executed via a rigorous systems engineering process, will create exceptional enterprise value.
Are Electric Vehicles Always Better for the Environment?
Authors: CHIA Eng Seng , YANG Zhe , WANG Han
Published: September 2024

Electric vehicles have been touted for their environmental friendliness, as their carbon emissions are significantly reduced during the usage phase compared to traditional petrol vehicles. However, from a lifecycle perspective, it is necessary to examine how the components of electric vehicles are obtained, constructed, operated, maintained, and disposed to better inform of their impact on the environment. Moreover, the environment's focus is often on the impact of carbon emissions but less on other forms of environmental impact such as ecotoxicity to marine life.

To better study the carbon emission reduction effect of electric vehicles throughout their entire lifecycle and their other environmental impacts, the petrol, and electric versions of the SAIC Roewe i6 MAX vehicles in China will be compared throughout their entire lifecycles, including raw material collection, transportation, manufacturing, usage, and disposal processes. The results for the diesel and hybrid vehicles will also be briefly covered for comparisons purposes.

The study showed that the breakeven point for carbon emission between petrol vehicles and electric vehicles is at about 2.8 years for use in China. This means that electric vehicles produce more carbon emission in the manufacturing/ assembly and only after 2.8 years of usage, that they emit less carbon emissions than petrol cars. As expected, the carbon emissions of diesel and hybrid cars fell in between these two, with hybrid vehicles performing better than diesel vehicles. However, electric vehicles produced the worst marine toxicity, with hybrid cars being second.
Analysis of the Ability of the OSLC Standard to Improve Data Traceability in System Development
Authors: Portenlänger Lukas , Korff Andreas , Schönecker Wolfgang , Zuccaro Claudio
Published: September 2024

The development of systems offers a particular challenge for the interoperability of different tools used by collaborating developers like requirements management, design, or simulation tools. The difficult and time‐consuming process to integrate and exchange data between different systems can lead to data inconsistencies and reduced efficiency in the development process. The integration standard Open Services for Lifecycle Collaboration (OSLC) targets the integration of engineering software applications. Its approach supports loose tool coupling, in which each application autonomously manages its own product data, while providing RESTful web services through which other applications can interact. This paper aims to analyze the suitability of OSLC as an overarching integration mechanism for the complete set of engineering artifacts created during system development. This paper presents use cases for the application of OSLC at the company MAHLE. For these use cases, the employed OSLC based toolchain is assessed. The analysis in this paper confirms that OSLC's capabilities allow users to support traceability and can support the exchange and integrate data according to the defined requirements, but it is not sufficient for sophisticated data processing functionalities, such as safety analysis or simulation. The OSLC integration does correspondingly compare favorably to integration technologies already in use regarding traceability, while transformation of data in domain specific tools is needed to achieve deeper levels of integration.
Risk Management in Project Planning for Life Science R&D: An Integration of the NTCP Framework
Authors: Zhao YangYang , Karlsen Terje Lehn , Craig Timothy K.
Published: September 2024

As with many industries, the early life science R&D drug discovery sector is facing growing pressure and higher demands on products in terms of cost, quality, and time‐to‐market. Additionally, the complexity of involved targets and systems, requirements for rapid, safe, and developable candidates are increasing. The drug discovery market, often regarded as rather conservative, relies more and more on advanced technologies. It is therefore a significant task for suppliers to create good solutions that meet customer requirements. The life science industry has a long tradition of using projects as the preferred method to manage these complex systems developments, such as the production of target proteins, screening of compounds, and follow‐up of hit compounds. When applying the project approach, the level of uncertainty is usually high, and the risk of those uncertainties must be managed starting in the early planning phase. Thus, this paper focuses on the issue of how to manage risks in the early project planning phase. We first review state‐of‐the‐art practices in risk management for complex systems project management and identify an important framework, Novelty‐Technology‐Cost‐Pace (NTCP), and apply it to successful risk management for early life science projects. Through an in‐depth case study in the life science industry, we demonstrate a systemic integration of the NTPC framework into project planning.
Leading in Uncertainty: A Framework to Improve Performance
Authors: Specking Eric , Murrell Andrew , Chang Alexander , Schwenke Robert , Long Donna , Stewart Mikaela , Olmedo Luis Andés
Published: September 2024

We are all leaders in our organizations in some form. As leaders, we often face elements outside our control. As systems engineers, we often think of technical uncertainties, which we attempt to predict, manage, and mitigate, but as leaders many of the uncertainties we experience are not technical in nature. They involve elements, such as people, and incorporate unknown and known unknowns. This work uses academic literature and subject matter experts to develop and propose a framework to provide leaders with a tool to help achieve their goals with the uncertainties they face as leaders. This paper 1) describes our methodology to develop the framework, which is based‐on a semi‐structure literature review and stakeholder analysis and 2) proposes a framework to help leaders overcome uncertainties they face while influencing others.
TRANSLATING THE STPA‐SEC SECURITY METHOD INTO A MODEL‐BASED ENGINEERING APPROACH
Authors: Silawi Ehab , Shaked Avi , Reich Yoram
Published: September 2024

In today's interconnected digital ecosystem, protecting cyber‐physical systems is critical. STPA‐Sec is a systematic method that allows to analyze system designs and identify vulnerabilities in those designs from the onset and throughout the system lifecycle. In this article, we describe a carefully designed metamodel that accommodates the concepts and steps of the method. We translate key concepts from STPA‐Sec into a metamodel, with the intention of facilitating a more structured and disciplined application of STPA‐Sec. We demonstrate the advantage of using the metamodel in two case studies. This article offers a step forward in the rigorous application of STPA‐Sec.
An ontology example in Configuration Management at Airbus
Authors: Amarnath Balachandar Ramachandiya , D'Souza Adriana , Podey Bernd , Reines Javier , Martinez Moises Ramon
Published: September 2024

Today data is increasingly available in our engineering domains but without an ontology to structure it, one might get drowned in the data lake. Configuration Management data being central to maintaining the configuration of the aircraft throughout its life cycle, need to be well described, understood and interpreted appropriately. This paper presents the effort performed at Airbus in the configuration management domain to structure the data through abstract ontology models of processes, tools and workflows. The ontology objects are then implemented and exposed as a data product to be used in digital transformation initiatives. This ontology based approach has encouraged harmonization of digital initiatives across different aircraft programs, and the associated graph style implementation ensures a more efficient exploration of Configuration Management data, leading to shorter lead time for development of data driven initiatives and knowledge ramp up.
LEVERAGING MISSION SOLUTION CONFIGURATION THROUGH MBSE AND TRADESPACE EXPLORATION
Authors: Eldesouky Mohamed , Pessoa Marcus Vinicius Pereira , Stefanovici Vlad
Published: September 2024

Thales is a worldwide leader in innovative radar and mission solution systems used by naval ships. As the demand for personalized products increased through time, Thales shifted from a project‐oriented to a product‐oriented approach. This shift aims to capitalize on variants, minimize customization, and streamline operations. In this context, Thales established a mission solution configuration process (SCP) to facilitate the selection of product variants to compose a system during the bidding phase. However, the current SCP has limitations, constraining exploration and integration with engineering processes and system data. Consequently, the proposed systems sometimes fall short of the most optimal solution the client could get. Therefore, the objective of this work is to develop and validate an improved mission solution configuration process to streamline the creation and selection of product variants at Thales, particularly during the bidding phase, to better meet client needs and operational requirements. This method integrates Model‐Based Systems Engineering (MBSE) and Tradespace Exploration (TSE), utilizing ARCADIA as the methodology and Capella as the tool. A descriptive model is generated for analytical purposes within TSE, employing Multi‐Attribute‐Utility‐Theory (MAUT) and Pareto‐Optimization for evaluating and selecting optimal mission solution variants. Validation was conducted through a Coast Guard mission case study involving 125 solution variants, revealing Pareto‐optimal solutions balancing performance and cost. This method enhances the current configuration process by aligning client and operational needs with Thales's sales and product teams, ensuring accurate interpretation of requirements and minimizing information inconsistencies. The case study results identify technological gaps in variant designs, guiding research and development efforts towards subsystems or components with significant impact on system performance.
MBSE Analysis & Update of U.S. Infrastructure Data Taxonomy (IDT) Using U.S. National Critical Functions (NCFs)
Authors: Adebonojo Anthony A. , Moen Kirk A. , Russell Jennifer L.
Published: September 2024

In this paper, we will demonstrate the application of Model‐Based Systems Engineering (MBSE) tools and techniques we have used to assist the U.S. Department of Homeland Security (DHS) / Cybersecurity Infrastructure Security Agency (CISA) in analysis of open‐source Infrastructure Data Taxonomy (IDT) data to analyze and contribute to the updates required for their IDT. We will show how we have used Functional Analysis, Logical Structure Taxonomies, and MBSE tools to analyze the IDT alongside the DHS National Critical Functions (NCFs) to recommend and improve these updates for their IDT. We have also proposed updates to the NCFs themselves where obvious improvements could be made. Our future recommendations are to continue this effort as a team of INCOSE Critical Infrastructure Protection and Recovery (CIPR) team members, along with other INCOSE Working Groups (WGs), and to explore other use cases based on this model data, as well as inviting other Subject Matter Experts (SMEs) to assist in the enhancements. This modeling effort demonstrated the use of these MBSE tools while working together with other organizations to enable improvements to the Critical Infrastructure (CI) space leveraging systems theory & thought leadership. We will outline further avenues for exploration using this provided MBSE capability in multiple areas that could be useful to the DHS, and will discuss a potential longer‐term engagement with DHS in an annual challenge. This challenge similar to those led by multiple other projects will include collaborations with universities and other CI / CIPR entities interested in this modeling of the CI space. Other opportunities to extend the model further include, but are not limited to security / cybersecurity, operational, and services modeling use cases, involving Industrial Control Systems (ICS) and much more. We have shown how these tools are effective and efficient for use in the water / wastewater sector, but will also yield similar benefits when applied across all identified sectors and across the international community as well (i.e., transportation, telecommunications, etc.). Interestingly we have seen in our initial analyses that the various taxonomies across sectors, subsectors, segments, subsegments, and assets vary slightly between regions and countries internationally for various reasons.
Application of SysMLv1 vs SysMLv2 in the Scope of the MagicGrid Framework
Authors: Aleksandraviciene Aiste , Strolia Zilvinas , Jankauskas Osvaldas
Published: September 2024

This paper aims to assess the impact of the next generation Systems Modeling Language, SysMLv2, on MagicGrid, an established framework for the model‐based systems engineering (MBSE). The research involves the parallel application of SysMLv1 and SysMLv2 to build two models of the problem domain definition by following the steps defined by the framework. The paper compares the modeling concepts of both languages used to create the model, discloses differences, and assesses advantages and disadvantages over each other. While SysMLv2 offers both textual and graphical notations, this study primarily focuses on the graphical representation. The paper concludes with a comprehensive summary of distinctions observed in the application of SysMLv2 versus SysMLv1. As anticipated, SysMLv2 was found a completely fresh modeling language. Significant alterations has been observed in the use case specification and functional analysis. Additionally, the absence of explicit guidelines on the utilization of definitions and usages was identified.
Towards UAF Implementation in SysML V2
Authors: Morkevicius Aurelijus , Krisciuniene Gintare
Published: September 2024

The ongoing transformation in the industry from a document‐based systems engineering to a model‐based systems engineering approach reveals gaps in existing modeling standards. Evolution of standards is inevitable. A de facto standard modeling language, SysML (Systems Modeling Language), is undergoing a major transformation in its evolution, with the introduction of SysML version 2, which is a complete redesign of the language architecture. With the major update of SysML, all related standards need to be redesigned. The Unified Architecture Framework (UAF) is not an exception. UAF version 2 is a future version of the standard to be based on SysML V2. Currently, the development of UAF based on SysML V2 is in the very early stages, and various organizations involved in its development are independently researching the way forward. This paper describes one of the research projects to test the feasibility of SysML V2 to address UAF community needs.
MIGRATING TO ARP4754A: TAILORING OF ARCHITECTURE AND SYSTEMS REQUIREMENTS DEFINITION PROCESSES IN THE ROTORCRAFT INDUSTRY
Authors: Fabbroni Davide , Casella Guido , Ward David
Published: September 2024

Rotorcrafts are very complex systems that require a huge systems engineering effort to design, implement and integrate. A successful aircraft design is a matter of good integration between engineering disciplines and suppliers just as much as it is about finding a good technical solution to the customers' expectations. This issue is well understood within the industry and competent authorities. Companies now face the challenge of transitioning from integrating complex systems to make an aircraft (as per ARP4754) to engineering and collating a complex aircraft system as per ARP4754A: in other words, the focus shifted to a more holistic view to the aircraft development, a game changer in all respects. Leonardo Helicopters is tailoring its internal processes to reflect this change and challenge. While the ideal process can be defined today, the transition takes time and a significant change in culture and organization needs to take place. To support the transition, the authors have developed a hybrid approach to the aircraft architecture and system requirements definition process. This new approach leverages existing expertise at a system level to facilitate the integration between systems and the subsequent migration to bridge the gap with the aircraft engineering activities required by the ARP4754A.
Logical Architecture Optimization via a Markov chain based Hierarchical Clustering Method
Authors: Melani Beatrice , Fabbroni Davide , Manieri Lucrezia , Falsone Alessandro , Prandini Maria
Published: September 2024

Due to the growing complexity of engineering systems, optimization of logical architectures is becoming fundamental in the economy of the Systems Engineering process. Clusters of functions that are highly interacting with each other should be identified, while minimizing dependencies across the resulting modules. To this purpose, one can consider the Design Structure Matrix (DSM) describing relation between functions and permute its rows and columns to recover a block‐diagonal structure with single or double border, with blocks corresponding to clusters of functions and borders to bus‐like elements. This paper proposes a method to achieve this by partitioning the nodes of an undirected graph representation of the DSM. More precisely, starting from the DSM structure, a Markov chain is introduced by associating probabilities to transitions between nodes, which are then clustered based on the similarity among the probability distributions originating from them using a hierarchical clustering scheme. Interestingly, the method does not require any prior knowledge of system structure (e.g. the number of clusters), and it is computationally less demanding than competing algorithms.
Leveraging Large Language Models for Direct Interaction with SysML v2
Authors: DeHart John K.
Published: September 2024

This paper examines the potential integration of Large Language Models (LLMs) with the Systems Modeling Language version 2 (SysML v2), proposing a novel methodology for systems engineering by capitalizing on the enhanced readability and human‐friendly syntax of SysML v2. Given the emergent sophistication of LLMs and the coincidental development of SysML v2—‐an endeavor that presents a pivot toward naturally articulated model interaction—‐we explore the possibilities and implications of such an intersection. Our investigation posits that LLMs can serve not only as an interpretive layer, allowing for the syntactically simplified manipulation of system models, but also as a catalyst for a knowledge‐driven design approach.

We highlight the efficiencies gained by deploying LLMs for SysML v2 interactions, which reduce the dependency on technical expertise traditionally needed for API navigation and model management. Through case studies and analysis, we demonstrate that the conversational engagement with system models facilitated by LLMs can lead to a democratized and accelerated design process. However, this advent is tempered by a critical awareness of potential pitfalls, such as automation bias and overreliance on automated systems—‐underscoring the need for continued human oversight and the examination of ethical considerations.

Emphasizing the chance of SysML v2 being inherently English‐based and the parallel maturation of LLMs, this paper suggests that the collaborative utilization of these concurrent advancements may offer an opportune fusion, potentially revolutionizing the way systems are modeled and managed. Future work involves the empirical validation of these approaches and a deeper investigation into interoperability with existing and future systems engineering ecosystems. The ultimate goal is to ensure that this fusion not only complements human expertise but also propels systems engineering into a new era of innovation and holistic design.
Addressing Cross‐Domain Interoperability between Automotive and Smart Grid Architecture Models
Authors: Gross Jounes‐Alexander , Polanec Katharina , Vereno Dominik , Binder Christoph , Neureiter Christian
Published: September 2024

The rapid advancement and diversification of technical domains, particularly in automotive and smart grid sectors, are pivotal in driving the emerging energy revolution. This evolution is instrumental in governing the future of smart cities, characterized by escalating complexity and diversity within these domains. Such a landscape necessitates seamless collaboration among various domain experts, a task often complicated by the prevalent use of domain‐specific languages and tools tailored to specific engineering needs. This poses a significant challenge towards cross‐domain interoperability.

Addressing this challenge, our research introduces a novel approach leveraging abstraction layers inspired by the Software Platform Embedded Systems (SPES) methodology. This approach aims to enhance the compatibility of domain‐specific frameworks, with a focus on the Smart Grid Architecture Model (SGAM) and the Automotive Reference Architecture Model (ARAM). By applying these SPES‐inspired abstraction layers, our work facilitates the reconciliation of varying levels of detail across different domains.

The paper culminates in a proof of concept that demonstrates the practical implementation of this approach, showcasing a method to achieve effective cross‐domain interoperability. This implementation not only underscores the feasibility of our proposed solution but also illuminates a pathway for managing the intricate interplay of systems in the rapidly evolving landscape of smart cities.
Introducing a Three‐Layer Model Taxonomy to Facilitate System‐of‐Systems Co‐Simulation
Authors: Vereno Dominik , Polanec Katharina , Gross Jounes‐Alexander , Binder Christoph , Neureiter Christian
Published: September 2024

The growing demand for efficient, resilient, and sustainable electricity infrastructure has led to the emergence of smart grids as cyber‐physical systems of systems. Co‐simulation has proven an effective tool for their analysis and validation by coordinating independent subsystem simulations. However, the reuse and integration of diverse models in co‐simulation poses challenges, requiring compatibility and integration efforts. In response, this paper proposes a model taxonomy with the purpose of facilitating co‐simulation; it comprises three layers: concrete‐instance models, abstract‐instance models, and type models. The taxonomy contributes to the creation of independently developed models that can be seamlessly integrated into a coupled co‐simulation. Furthermore, it reflects the emergence of digital twins in smart grid engineering by the explicit distinction of abstract and concrete instances. The three‐layer taxonomy was derived and validated through a case study on co‐simulation of electric‐vehicle charging infrastructure. The research further analyzes and formalizes three modeling‐and‐simulation challenges framed through the lens of the taxonomy: the integration of models across all three layers, the merging of layers, and the consolidation of instance models to craft joint co‐simulation scenarios. Finally, three concrete recommendations for research and industrial practice are given. Thereby, the study contributes to the efficient and effective model‐based validation of cyber‐physical systems of systems using co‐simulation.
Application of Model‐Based Systems Engineering Within the Automotive Industry —‐ a Current State
Authors: Brenk Daniel , Seiffert Sebastian , Rauh Artur
Published: September 2024

Model‐Based Systems Engineering (MBSE) has been utilized within the automotive industry for several years. Increasing complexity due to highly automated, connected vehicles demands methods of coping with this complexity. In most cases, currently, only specific partial aspects or single methods of MBSE are used, which even varies across different companies. This paper aims to examine the current implementation of MBSE based on samples collected from companies acting within the automotive industry. Various aspects are explored, including the scope of application throughout the product life cycle, the use of simulation methods and the collaboration with other disciplines within product development. In the end, an evaluation discusses the reasons for the current state, and recommendations are given.
Implementation of a Technical Peer Review Process: Principles, Policy, and Cultural Change
Authors: Alvarez Francisco , Britt Leslie , Trujillo Jon
Published: September 2024

The complex scientific and engineering work performed at Sandia National Laboratories is supported by a comprehensive system of reviews that include design, gate, and peer reviews. A recent exercise revealed a need to change how technical peer reviews are conducted. Building on industry standards, best practices, current standard internal practices and other previous work, Sandia has developed a continuous improvement process to institutionalize technical peer review in the design lifecycle of products. The approach focuses on translating customer and leadership expectations, utilizing current established practices, simplifying planning and execution, and providing resources to project teams to guide them and ensure that rigorous and consistent technical peer reviews are performed. This paper presents the process used by Sandia to improve the technical peer review process, the factors that affect implementation of a peer review process, the simplified three‐step process implemented, the tools and resources generated, and the sustainment plan adopted to increase the institution‐wide use of peer review as a tool to improve product delivery.
Truly Modular and Open System Design is Difficult
Authors: Hetherington David
Published: September 2024

In the United States, major defense acquisition programs must implement a modular open systems approach (MOSA) as required by U.S. law. (Defense Standardization Program, 2016). Some in the defense community have focused on MOSA as a checklist compliance activity. However, designing economically and operationally competitive system platforms that are truly modular is extremely challenging. Many such modular system platform efforts fail to meet early expectations for convenience, cost, and community uptake. Open standards are challenging as well. If a highly successful, stable, well‐documented, appropriate open standard is available for an interface, then leveraging such a standard can be fairly straightforward. However, often there is no obvious or adequate open standard available and the system platform owners have to organize a community to bring such a standard into existence.

This paper will review three concrete examples of such MOSA efforts. The three cases cover both commercial and defense applications as well as covering both hardware and software. The two systems that focused on hardware modularity did eventually go into production but did not completely fulfill early expectations for their programs. The software system used an out‐of‐the‐box approach and achieved a best‐in‐class result in terms of economic effectiveness, time to market, and stakeholder satisfaction. This paper will discuss underlying challenges that seem to be common to all such efforts, review the results of the three cases, and offer some simple guidelines for increasing the probability of success for such a program.
Context‐Based Systems Engineering
Authors: Bredin Johan
Published: September 2024

This paper proposes an innovative problem/system decomposition approach. Unlike the conventional method, where stakeholder requirements are transformed into system requirements for the system‐of‐interest (SOI), the new approach involves decomposing stakeholder requirements into specifications for modified context subsystems. These subsystems comprise elements from both the SOI and its surrounding context.

The new approach offers two key strengths. Firstly, an enhanced contextual relationship. The approach naturally establishes a relationship between the SOI and its context across various abstraction levels. This contextual linkage fosters modularity and agility within the system. Secondly the new approach enables precise functionality definition. Unlike mere declarations, the new approach allows for explicit functionality definition at all levels. Consequently, we can formulate executable requirements, enabling system simulation across all system levels. Very early integration, verification, and validation become possible as a result.
Systems Perspective Outcomes from Aerospace Failure Investigations
Authors: Matranga Elizabeth , Fong Calvin , DeTurris Dianne , Flumerfelt Shannon
Published: September 2024

Many tools are available for managing complexity in the development of large aerospace systems. Complexity manifests in components, software and so many possible human interactions that all the operational states of the system are not predicted ahead of time. System behaviors are seemingly unexpected, unpredictable, and often unwanted. However, finding these failure modes before they happen can be done by techniques that are qualitative, quantitative, or mixed methods, used situationally, as needed for each particular circumstance. Through studies of failure investigations from NASA and the aerospace industry, recommendations coalesce on using a systems perspective to increase communication and reduce the risk of failure. Overall, a consistent outcome of these investigations is the suggestion to listen to as many value‐added perspectives as possible. Preventing failures in operation is managed by improving collaboration within and among teams, which is an effective way to reveal those perspectives, through both formal and informal communication techniques properly contextualized.
DATA ELEMENT MAPPING AND ANALYSIS (DEMA) TO ENABLE SYSTEMATIC MODEL CREATION USING SYSML
Authors: Ledford Allison , Askew Susan , Huang Edward
Published: September 2024

Data Element Mapping and Analysis (DEMA) represents a new and systematic methodology for the standardized capture, mapping, and analysis of data threads essential for comprehending digital systems and their architecture. This research studies the synergies between DEMA and Systems Modeling Language (SysML). The study aims to enable the systematic creation of digital artifacts using SysML. The results show that DEMA can serve as a complementary tool, enhancing the creation of SysML models by improving knowledge capture and verification processes. The prototype DEMA to SysML framework presented in this work provides the foundation for a systematic methodology to enable the systematic creation of models using SysML.
A Framework to Use Bifurcation Analysis for Insight into Complex Systems Resilience
Authors: Otalvaro Rogelio Gracia , Watson Bryan C.
Published: September 2024

The increasing complexity and integration of systems present challenges in understanding and managing these systems, as highlighted by the INCOSE Systems Engineering Vision for 2035. This complexity risks system failures due to insufficient understanding. Resilience Engineering is a field that focuses on system behavior in the face of disruptions. However, existing methods to measure resilience, such as probability‐based measures and linear recovery models, are limited by the non‐linear and dynamic nature of modern systems. Bifurcation Analysis, a mathematical system dynamics technique, offers a different perspective by examining how systems behave under changing conditions. This approach, developed in ecology and traditionally applied in fields including power systems and neural networks, can provide insights into the resilient characteristics of non‐linear systems. Despite its promise, Bifurcation Analysis is not usually associated with Resilience Engineering. This paper proposes using Bifurcation Analysis to understand system resilience better and support Resilience Engineering practitioners. It aims to bridge the gap between the two fields, offering a framework for integrating both approaches. This framework is then applied to a model system to demonstrate its potential to enhance the understanding of system resilience. Contributions are an overview of current Resilience Engineering and Bifurcation Analysis, a general‐use framework for practitioners, and an application of this framework. Future work will focus on applying the new framework to more cases, allowing for improved Resilience Engineering, and improving the framework to make it more accessible, versatile, and reliable.