Acquisition System Development: A Complex System Governance Perspective

Keating, Charles B.; Katina, Polinpapilinho F.; Jaradat, Raed; Bradley, Joseph; Gheorghe, Adrian V.

doi:10.1002/j.2334-5837.2017.00395.x

Cited by 7 publications

(2 citation statements)

References 9 publications

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“…Principles for the governance of systems of systems (Keating et al, 2003;Keating, Katina, Jaradat, Bradley, & Gheorghe, 2017) x (Griffin, 2010;Madni, 2018;Watson, 2019a, b; x x x (Continues) would be an answer to. For completeness, the right hand column reports the corresponding philosophical category representing that type of knowledge.…”

Section: Amentioning

confidence: 99%

A vision for advancing systems science as a foundation for the systems engineering and systems practice of the future

Rousseau

2019

Syst Res Behav Sci

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In this paper, I argue that the fragmented state and uneven maturity of current systems science will render it increasingly inadequate for meeting the future needs of the engineering and practice disciplines depending on it. I explain that it is not the case that System Science is a holistic discipline in contrast with the reductionism of classical science, but that Systems Science has both reductionistic and holistic dimensions, dealt with respectively by two “movements” within systems science, which I will designate as “Complexity Science” and “Systems Research”. I argue that in many situations the internal workings of a system can be satisfactorily addressed with the mainly reductionistic methods of Complexity Science, whereas when external factors play a significant role, the mainly holistic methods of Systems Research are brought to the fore. This suggest that Complexity Science and Systems Research are not really as disjunct as often portrayed, but represent special cases under a wider conception that would hold across a spectrum of ratios between ‘internal complexity’ and ‘external complexity’ of the system of interest, and that would entail a differential emphasis on reductionistic and holistic methods based on contextual factors. Such a wider conception could not only help to unify systems science, but would also support analysis and intervention in the ‘middle ground’ between these polar types. This is relevant for Systems Engineering and Practice because as the world's complexity grows engineers and practitioners will increasingly have to deal with situations that are complex both internally and externally. This suggests an increasingly urgent need for the development of the envisioned ‘wider conception’ of systems in which we can deal in an elegant and principled way with shifts in the balance between internal and external complexity. In this paper I propose that a scientific general theory of systems could provide such a wider conception, and that it could serve as a basis for the unification of systems science, provide support for the scientific maturation of the discipline, and extend the capability and utility of systems science in important ways. I present approaches and frameworks that would support the development of such a theory, present wide‐ranging evidence suggesting that we are in a favourable position for developing one, and indicate important areas to focus on in future research.

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Section: Amentioning

confidence: 99%

A vision for advancing systems science as a foundation for the systems engineering and systems practice of the future

Rousseau

2019

Syst Res Behav Sci

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“…The conditions and circumstances that mark this might be captured by several dominant characteristics. Following previous articulations of this domain (Jaradat & Keating, ; Keating, Katina, & Bradley, ; Keating, ; Keating & Katina, ; Keating, Katina, Jaradat, Bradley, & Gheorghe, , Keating, Bradley, Katina, & Jaradat, ), Table summarizes these characteristics.…”

Section: Introductionmentioning

confidence: 99%

Complex system governance: Concept, utility, and challenges

Keating

Katina

2019

Syst Res Behav Sci

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Complex system governance (CSG) is an emerging field focused on design, execution, and evolution of (meta)system functions that produce control, communications, coordination, and integration of a complex system. Ultimately, CSG explains system performance, prospects for continued system viability (existence), and future system sustainability. This paper explores three primary perspectives for CSG. First, following a brief introduction, a CSG overview is provided. Three underlying fields (systems theory, management cybernetics, and system governance), the derived model for CSG, and essential distinctions of CSG are developed. Second, the role and nature of CSG pathologies as aberrations from normal or healthy system conditions are developed. Pathologies are grounded in systems theory, and requisite variety is used to explain pathologies in complex system design, execution, or development impacting system performance. Third, challenges for balanced evolution of the CSG field are suggested. The paper concludes with suggestion for simultaneous development of science, engineering, and practice for CSG.

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Systems Engineering Principles and Hypotheses

Watson¹

2019

INSIGHT

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The INCOSE Systems Engineering Principles Action Team has put forth a set of principles and hypotheses to articulate the basic concepts that guide systems engineering. The team based this work on a review of various sources of systems postulates, principles, and hypotheses identified in literature. They focused on the multi‐year work of the NASA Systems Engineering Research Consortium looking at the work of Ludwig Boltzmann and his postulates on gas distributions as an early example of how to characterize the interactions of complex systems. The INCOSE Systems Engineering Principles Action Team review has distilled the earlier works to the 15 principles and three hypotheses stated in this article. The principles define the domain of systems engineering as well as the system aspects and system influences that are of concern to the systems engineer. The hypotheses contain some of the seeds of a holistic mathematical basis for systems engineering.

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Acquisition System Development: A Complex System Governance Perspective

Cited by 7 publications

References 9 publications

A vision for advancing systems science as a foundation for the systems engineering and systems practice of the future

A vision for advancing systems science as a foundation for the systems engineering and systems practice of the future

Complex system governance: Concept, utility, and challenges

Systems Engineering Principles and Hypotheses

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