Multi-Attribute Tradespace Exploration for Survivability

Ross, Adam M.; Stein, David B.; Hastings, Daniel E.

doi:10.2514/1.a32789

Cited by 19 publications

(9 citation statements)

References 45 publications

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“…Wade et al. () found that only two of the reviewed papers, Ross, Stein, and Hastings () and Sitterle, Freeman, Goerger, and Ender (), considered a large number of alternatives, multiple system performance measures, the use of modeling and simulation techniques, and affordability analysis to compare cost versus value. Ross et al.…”

Section: Engineering Resilience Quantification Literaturementioning

confidence: 99%

“…Ross et al. () described resilience as one of the three types of survivability and developed an eight‐phase methodology. They also suggested that “[s]urvivability may be incorporated more effectively at the architecture level rather than as an additive feature to a baseline system concept” and a tradespace analysis comparing cost, utility, and survivability may be useful to analyze alternatives.…”

Section: Engineering Resilience Quantification Literaturementioning

confidence: 99%

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Assessing Engineering Resilience for Systems with Multiple Performance Measures

et al. 2019

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Recently, efforts to model and assess a system's resilience to disruptions due to environmental and adversarial threats have increased substantially. Researchers have investigated resilience in many disciplines, including sociology, psychology, computer networks, and engineering systems, to name a few. When assessing engineering system resilience, the resilience assessment typically considers a single performance measure, a disruption, a loss of performance, the time required to recover, or a combination of these elements. We define and use a resilient engineered system definition that separates system resilience into platform and mission resilience. Most complex systems have multiple performance measures; this research proposes using multiple objective decision analysis to assess system resilience for systems with multiple performance measures using two distinct methods. The first method quantifies platform resilience and includes resilience and other "ilities" directly in the value hierarchy, while the second method quantifies mission resilience and uses the "ilities" in the calculation of the expected mission performance for every performance measure in the value hierarchy. We illustrate the mission resilience method using a transportation systems-of-systems network with varying levels of resilience due to the level of connectivity and autonomy of the vehicles and platform resilience by using a notional military example. Our analysis found that it is necessary to quantify performance in context with specific mission(s) and scenario(s) under specific threat(s) and then use modeling and simulation to help determine the resilience of a system for a given set of conditions. The example demonstrates how incorporating system mission resilience can improve performance for some performance measures while negatively affecting others.

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Section: Engineering Resilience Quantification Literaturementioning

confidence: 99%

Section: Engineering Resilience Quantification Literaturementioning

confidence: 99%

Assessing Engineering Resilience for Systems with Multiple Performance Measures

et al. 2019

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“…The Integrated Trade-Off Analysis Framework provides a means to perform a tradespace exploration. This framework can use single objective (also called attribute) or multiple objective tradespace exploration (also known as multi-attribute tradespace exploration-MATE [14]).…”

Section: Tradespace Explorationmentioning

confidence: 99%

Early Design Space Exploration with Model-Based System Engineering and Set-Based Design

Specking

Parnell

Pohl

et al. 2018

Systems

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Adequately exploring the tradespace in the early system design phase is important to determine the best design concepts to pursue in the next life cycle stage. Tradespace exploration (TSE) often uses trade-off analysis. Set-based design (SBD) methods, compared to traditional point-based design, explore significantly more designs. An integrated framework with model-based system engineering (MBSE) and a life cycle cost model enables design evaluation in near real-time. This study proposes an early design phase SBD methodology and demonstrates how SBD enabled by an integrated framework with MBSE and life cycle cost provides an enhanced TSE that can inform system design requirements and help decision makers select high performing designs at an affordable cost. Specifically, this paper (1) provides an overview of TSE and SBD, (2) describes the Integrated Trade-off Analysis Framework, (3) describes a methodology to implement SBD in the early design phase, and (4) demonstrates the techniques using an unmanned aerial vehicle case study. We found that the Integrated Trade-off Analysis Framework informs requirement development based upon how the requirements affect the feasible tradespace. Additionally, the integrated framework that uses SBD better explores the design space compared to traditional methods by finding a larger set of feasible designs early in the design process.

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“…It has been used as a standard technique in several applications in research and real-world problems, such as the airline industry [114], nuclear energy [115], earthquake projects [116] and farming systems [117]. MAUT has been incorporated in the multi-attribute trade-space exploration (MATE) paradigm for generating a multitude of system designs and identifying the optimal ones, [118], [119], [120] and [121]. It was also applied in establishing the requirements' specification of commercial aircraft [122], in evaluating space system designs for the telecommunications and deep-space observation missions [103], and the development of satellite value models [123].…”

Section: Multi-attribute Utility Theorymentioning

confidence: 99%

Development and application of a value driven design assessment framework to an unmanned air system design

Papageorgiou

2018

2018 Advances in Science and Engineering Technology International Conferences (ASET)

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The work presented in this thesis concerns the development of a value driven engineering design assessment framework and its application to the conceptual design of an Unmanned Air System (UAS) to be utilised in a defence application. This research demonstrates the implementation of the value driven design philosophy in this framework, identifying value enhancing designs, with value not converted to monetary worth and as perceived by all stakeholders involved. A multi-criteria and multi-stakeholder decision making analysis is adopted to address their preferences as well as to study their interacting strategic choices. The ultimate objective of this framework is to convert engineering design to a decision making analysis with multiple conflicting objectives of multiple stakeholders considered.This framework is capable of providing a product definition and estimation of all performance and cost related attributes for the conceptual phase. However, instead of pertaining to a single aircraft concept, a broad range of combinations of UAS configurations and geometries is generated by systematically searching alternative concepts and design configurations through a novel parameterization of the aircraft geometric topologies.Value, related to the designed system's capabilities or performance and lifecycle cost, is used to compare different alternatives in the decision making of engineering design through the appropriate value model. Following a valuefocused approach, a novel multi-attribute value model is introduced for objectively capturing the stakeholder's preferences and expectations. Furthermore, a more sophisticated multi-attribute utility model, based on standard Multi-attribute Utility Theory, is employed in the evaluation.Game Theory as an optimization tool is used to develop a novel hybrid cooperative/non-cooperative non-zero sum, complete information game among all involved stakeholders as players. This game successfully addresses the stakeholders' preferences in a functional outcome-focused way, resolving the high indeterminacy of the alternative designs through a cooperative game. At the same time, their strategic interactions are captured in a process-focused non-cooperative game. Hence, the optimal design is identified through the simultaneous employment of the Nash bargaining solution and the Nash equilibrium.i

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Multi-Attribute Tradespace Exploration for Survivability

Abstract: Multi-Attribute Tradespace Exploration for

Cited by 19 publications

References 45 publications

Assessing Engineering Resilience for Systems with Multiple Performance Measures

Assessing Engineering Resilience for Systems with Multiple Performance Measures

Early Design Space Exploration with Model-Based System Engineering and Set-Based Design

Development and application of a value driven design assessment framework to an unmanned air system design

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