System of systems engineering: an emerging multidiscipline

Sousa‐Poza, Andres; Kovacic, Samuel; Keating, Charles B.

doi:10.1504/ijsse.2008.018129

Cited by 79 publications

(18 citation statements)

References 27 publications

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“…An approach for designing, analyzing, operating and transforming metasystems, composed of multiple embedded semiautonomous subsystems [10,13] Complex System Governance An approach based on the design, execution, and evolution of nine metasystem functions. These provide control, communication, coordination, and integration of complex systems…”

Section: System-of-systems Engineeringmentioning

confidence: 99%

“…In response, there are increasing calls for multidisciplinary approaches capable of confronting the elements of ambiguity, emergence, and uncertainty. This research places emphasis on exploring System of Systems Engineering (SoSE) [6][7][8][9][10][11][12][13][14], and evolution of the field to increase effectiveness as a multidisciplinary approach. Our knowledge and developments of the SoSE field lag in the pace of technological innovation [10,15].…”

Section: Introductionmentioning

confidence: 99%

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A Governance Perspective for System-of-Systems

Katina

Keating

Bobo

et al. 2019

Systems

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The operating landscape of 21st century systems is characteristically ambiguous, emergent, and uncertain. These characteristics affect the capacity and performance of engineered systems/enterprises. In response, there are increasing calls for multidisciplinary approaches capable of confronting increasingly ambiguous, emergent, and uncertain systems. System of Systems Engineering (SoSE) is an example of such an approach. A key aspect of SoSE is the coordination and the integration of systems to enable ‘system-of-systems’ capabilities greater than the sum of the capabilities of the constituent systems. However, there is a lack of qualitative studies exploring how coordination and integration are achieved. The objective of this research is to revisit SoSE utility as a potential multidisciplinary approach and to suggest ‘governance’ as the basis for enabling ‘system-of-systems’ coordination and integration. In this case, ‘governance’ is concerned with direction, oversight, and accountability of ‘system-of-systems.’ ‘Complex System Governance’ is a new and novel basis for improving ‘system-of-system’ performance through purposeful design, execution, and evolution of essential metasystem functions.’

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Section: System-of-systems Engineeringmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Governance Perspective for System-of-Systems

Katina

Keating

Bobo

et al. 2019

Systems

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“…Furthermore, given that a characteristic of SoS is the operational and managerial independence of their components, it becomes crucial to complement the disciplinary models with a simulation module (Poza et al, 2008). Compared to the analyses which are typically encountered in MDO and refer to the CS as well as the SS performance, the term "simulation" is herein defined as a process that aims to explore the effects of collaboration between the assets but also the interactions of the entire SoS with its operational environment.…”

Section: System Of Systems Modelingmentioning

confidence: 99%

Design Optimization of Unmanned Aerial Vehicles : A System of Systems Approach

Παπαγεωργίου

2019

Linköping Studies in Science and Technology. Dissertations

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Over the last years, Unmanned Aerial Vehicles (UAVs) have gradually become a more efficient alternative to manned aircraft, and at present, they are being deployed in a broad spectrum of both military as well as civilian missions. This has led to an unprecedented market expansion with new challenges for the aeronautical industry, and as a result, it has created a need to implement the latest design tools in order to achieve faster idea-to-market times and higher product performance. As a complex engineering product, UAVs are comprised of numerous subsystems with intricate synergies and hidden dependencies. To this end, Multidisciplinary Design Optimization (MDO) is a method that can identify systems with better performance through the concurrent consideration of several engineering disciplines under a common framework. Nevertheless, there are still many limitations in MDO, and to this date, some of the most critical gaps can be found in the disciplinary modeling, in the analysis capabilities, and in the organizational integration of the method. As an aeronautical product, UAVs are also expected to work together with other systems and to perform in various operating environments. In this respect, System of Systems (SoS) models enable the exploration of design interactions in various missions, and hence, they allow decision makers to identify capabilities that are beyond those of each individual system. As expected, this significantly more complex formulation raises new challenges regarding the decomposition of the problem, while at the same time, it sets further requirements in terms of analyses and mission simulation. In this light, this thesis focuses on the design optimization of UAVs by enhancing the current MDO capabilities and by exploring the use of SoS models. Two literature reviews serve as the basis for identifying the gaps and trends in the field, and in turn, five case studies try to address them by proposing a set of expansions. On the whole, the problem is approached from a technical as well as an organizational point of view, and thus, this research aims to propose solutions that can lead to better performance and that are also meaningful to the Product Development Process (PDP). Having established the above foundation, this work delves firstly into MDO, and more specifically, it presents a framework that has been enhanced with further system models and analysis capabilities, efficient computing solutions, and data visualization tools. At a secondary level, this work addresses the topic of SoS, and in particular, it presents a multi-level decomposition strategy, multi-fidelity disciplinary models, and a mission simulation module. Overall, this thesis presents quantitative data which aim to illustrate the benefits of design optimization on the performance of UAVs, and it concludes with a qualitative assessment of the effects that the proposed methods and tools can have on both the PDP and the organization. v vi This Ph.D. project was carried out at the division of Machine Design of Linköping Universi...

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“…A closer inspection suggests that traditional 'systems' problems successfully addressed by systems engineering have been relatively well bounded, objectively formulated, technology centric, and subject to rigorous systematic development (for example, the Vee Model, requirements traceability, mathematical optimization, and more). In contrast, SoSE requires the integration of multiple diverse constituent systems, which invokes higher degrees of complexity, ambiguity, and uncertainty (Sousa-Poza et al 2008). The result is emergence of SoSE problems that are ambiguously bounded, subjectively formulated, and resistant to technology first -technology only formulations.…”

Section: Introductionmentioning

confidence: 99%

Systems Theory as a Conceptual Foundation for System of Systems Engineering

Keating¹,

Katina²,

Bradley³

et al. 2016

INSIGHT

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Systems theory (ST) can provide the developing systems of systems engineering (SoSE) field and practice with a strong conceptual foundation. ST is presented as a taken for granted set of axioms and corresponding propositions that explain the phenomena, patterns, and tendencies of complex systems. The results of ST are observable in the behavior and performance of systems. We argue that ST offers a critical grounding for the future development and practice of SoSE. Our exploration examines the necessity, contributions, and implications of ST as an influential conceptual foundation to accelerate and guide SoSE development and practice.

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System of systems engineering: an emerging multidiscipline

Cited by 79 publications

References 27 publications

A Governance Perspective for System-of-Systems

A Governance Perspective for System-of-Systems

Design Optimization of Unmanned Aerial Vehicles : A System of Systems Approach

Systems Theory as a Conceptual Foundation for System of Systems Engineering

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