2.1.3 Engineering Enterprises Using Complex‐System Engineering

Kuras, Michael L.; White, Brian E.

doi:10.1002/j.2334-5837.2005.tb00666.x

Cited by 28 publications

(12 citation statements)

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“…Opportunity Opportunity Unknown Un-assessable Uncertainty Figure 1. Relative Importance of Opportunity and Risk at Distinct Engineering Scales, Acknowledging Other Kinds of Uncertainty A previous paper (Kuras and White 2005) offered some definitions of system, SoS, and enterprise in the context of Complex-System Engineering (CSE). Three additional definitions of systems engineering (SE), ESE, and CSE are offered to help clarify the use of these terms in this paper: SE: An iterative and interdisciplinary management and development process that defines and transforms requirements into an operational system.…”

Section: Riskmentioning

confidence: 99%

“…The Regimen MITRE's Mike Kuras has developed a "regimen" for CSE (Kuras and White 2005) Opportunities and Risks in "Establish Rewards". The venture capital system of rewarding for results, and an entrepreneur's incentives for working within this outcome space, is a specific example of what is indicated here.…”

Section: System System Of Systems and Enterprise Opportunity Managementioning

confidence: 99%

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Enterprise Opportunity and Risk*

White¹

2010

Enterprise Systems Engineering

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In traditional systems engineering (TSE) environments, and particularly in recent years, many are concerned about risk management. So much so that risks are identified early and often, and mitigation techniques are aggressively pursued. In contrast one does not hear as much about opportunity management. What about enterprise systems engineering (ESE) environments? Do traditional methods of handling risk and opportunity carry over, or should we be concerned about potential changes in the way we view the problem? Assuming there are new perspectives to bring to bear on this topic, what are they, and what principles might be discovered and applied to the enterprise to better deal with opportunity and risk? This paper offers some answers to these questions • There is duality in treating risks and opportunities.• In ESE, be aggressive with opportunity and accepting of risk.• The greatest enterprise risk may be in not pursuing enterprise opportunities.

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Section: Riskmentioning

confidence: 99%

Section: System System Of Systems and Enterprise Opportunity Managementioning

confidence: 99%

Enterprise Opportunity and Risk*

White¹

2010

Enterprise Systems Engineering

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“…The US economy is substantially healthier today than it was in 1980. 1 These limits are not examined in this short paper. 2 The use of the word velocity to refer to a rate will be awkward for many engineers.…”

Section: Origins Of the Hypothesismentioning

confidence: 91%

The Velocity of Information

Kuras

Semy

Surer

2006 IEEE/SMC International Conference on System of Systems Engineering

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How can the health (or the robustness) of a complex information processing system be quantitatively scored? This question applies to both subjective and quantified assessments of health. Given that subjective assessments are routine, how can such assessments be quantified? This paper presents an approach, based on an analogy drawn between economies and complex information systems. The motivation for and the reasoning leading to this analogy is summarized. The paper continues by presenting a mechanism to test this hypothesis within a military decision-making system (the Air and Space Operations Center). This paper concludes with a summary and areas for future research.

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“…The existence of 'systems of systems' and other complex systems has raised issues that challenge traditional methods of systems engineering, or 'good old traditional systems engineering' (GOTSE). These large complex systems tend to include people as well as machines; to cross organization boundaries; to include multiple disciplines; to be less predictable, less deterministic, sometimes more chaotic, more autonomous, less centrally controlled, and more self organized and adaptive [1], [2], [3], [4], [5], [6].…”

Section: Introductionmentioning

confidence: 99%

Using models and abstraction to extend and unify systems

Hybertson

2006 IEEE/SMC International Conference on System of Systems Engineering

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Systems engineering is in a transition period. The existence of 'systems of systems' and other complex systems has raised issues that challenge traditional methods of systems engineering. This paper describes selected high level aspects of a comprehensive systems engineering method called model oriented systems engineering (MOSE) that is intended to address the full scope of both traditional and complex systems. The method supports similarities as well as differences of these system types. The modeling approach regards both scientific theories and engineering artifacts, such as concepts of operations, requirements specs, and architecture descriptions, as models of systems. The paper describes relations between models and systems, including the conceptualization of a model as a region of systems.

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2.1.3 Engineering Enterprises Using Complex‐System Engineering

Cited by 28 publications

References 0 publications

Enterprise Opportunity and Risk*

Enterprise Opportunity and Risk*

The Velocity of Information

Using models and abstraction to extend and unify systems

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