System of systems engineering

Keating, Charles B.; Rogers, Ralph V.; Unal, Resit; Dryer, David; Sousa‐Poza, Andres; Safford, Robert R.; Peterson, William; Rabadi, Ghaith

doi:10.1109/emr.2008.4778760

Cited by 57 publications

(32 citation statements)

References 4 publications

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“…For example, the light-rail system is part of a metropolitan transportation SoS that includes private vehicles, air transport, buses, and other transportation systems. Thus complex systems that have been conceived, developed, and deployed as stand-alone systems to address a singular function cannot be seen as operating in isolation (Keating et al 2003). …”

Section: System Of Systemsmentioning

confidence: 99%

RUL estimation and maintenance optimization for aircraft engines: a system of system approach

Fornlöf

Galar

Syberfeldt

et al. 2016

Int J Syst Assur Eng Manag

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An aircraft engine is a system of systems with several degrees of complexity. It is important to perform the correct amount of maintenance at each individual maintenance event. A mathematical replacement model is used to ensure that the correct maintenance is performed. The reliability of the results from the mathematical replacement model will be improved if there is a better way to estimate the life length for on-condition engine parts.

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Section: System Of Systemsmentioning

confidence: 99%

RUL estimation and maintenance optimization for aircraft engines: a system of system approach

Fornlöf

Galar

Syberfeldt

et al. 2016

Int J Syst Assur Eng Manag

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“…For our present discussion, we default to our earlier perspective of System of Systems (SoS) (Keating et al, 2003): Downloaded by [New York University] at 12:56 09 June 2015…”

Section: Chief Differences-se and Sosementioning

confidence: 99%

System of Systems Engineering Requirements: Challenges and Guidelines

Keating

Padilla

Adams

2008

Engineering Management Journal

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“…These disparate groups A Model Based Approach to System of Systems Risk Management 20 were also hampered by the lack of a common operating picture, resulting in a limited situational awareness (Townsend, 2006 At this point a command structure could not be established which would have enabled the dissemination of information and co-ordination of the emergency agencies. Despite the lack of control and situational awareness a large-scale search and rescue (SAR) operation was undertaken by the Coast Guard, Urban Search and Rescue Task Forces, the Department of Defence and other Federal agencies.…”

Section: • Risk Managementmentioning

confidence: 99%

A model based approach to system of systems risk management

Kinder

Henshaw

Siemieniuch

2015

2015 10th System of Systems Engineering Conference (SoSE)

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The failure of many System of Systems (SoS) enterprises can be attributed to the inappropriate application of traditional Systems Engineering (SE) processes within the SoS domain, because of the mistaken belief that a SoS can be regarded as a single large, or complex, system. SoS Engineering (SoSE) is a sub-discipline of SE; Risk Management and Modelling and Simulation (M&S) are key areas within SoSE, both of which also lie within the traditional SE domain. Risk Management of SoS requires a different approach to that currently taken for individual systems; if risk is managed for each component system then it cannot be assumed that the aggregated affect will be to mitigate risk at the SoS level.A literature review was undertaken examining three themes: (1) SoS Engineering (SoSE), (2) M&S and (3) Risk.Theme 1 of the literature provided insight into the activities comprising SoSE and its difference from traditional SE with risk management identified as a key activity.The second theme discussed the application of M&S to SoS, providing an output, which supported the identification of appropriate techniques and concluding that, the inherent complexity of a SoS required the use of M&S in order to support SoSE activities.Current risk management approaches were reviewed in theme 3 as well as the management of SoS risk. Although some specific examples of the management of SoS risk were found, no mature, general approach was identified, indicating a gap in current knowledge. However, it was noted most of these examples were underpinned by M&S approaches.It was therefore concluded a general approach SoS risk management utilising M&S methods would be of benefit.In order to fill the gap identified in current knowledge, this research proposed a new model based approach to Risk Management where risk identification was supported by a framework, which combined SoS system of interest dimensions with holistic risk types, where the resulting risks and contributing factors are captured in a causal network.Analysis of the causal network using a model technique selection tool, developed as part of this research, allowed the causal network to be simplified through the replacement of groups of elements within the network by appropriate supporting models.The Bayesian Belief Network (BBN) was identified as a suitable method to represent SoS risk.Supporting models run in Monte Carlo Simulations allowed data to be generated from which A Model Based Approach to System of Systems Risk Management iii the risk BBNs could learn, thereby providing a more quantitative approach to SoS risk management. A method was developed which provided context to the BBN risk output through comparison with worst and best-case risk probabilities.The model based approach to Risk Management was applied to two very different case studies: Close Air Support mission planning and the Wheat Supply Chain, UK National Food Security risks, demonstrating its effectiveness and adaptability.The research established that the SoS SoI is essential for effective SoS risk i...

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System of systems engineering

Cited by 57 publications

References 4 publications

RUL estimation and maintenance optimization for aircraft engines: a system of system approach

RUL estimation and maintenance optimization for aircraft engines: a system of system approach

System of Systems Engineering Requirements: Challenges and Guidelines

A model based approach to system of systems risk management

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