Designing Engineered Resilient Systems Using Set-Based Design

Wade, Zephan; Parnell, Gregory S.; Goerger, Simon R.; Pohl, Edward A.; Specking, Eric

doi:10.1007/978-3-030-00114-8_10

Cited by 10 publications

(10 citation statements)

References 2 publications

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“…This is essentially how you define the sets, which is difficult since every point contains an option from each decision variable. A set is "a group of design alternatives classified by sharing one or more, but not all, specified design choice(s)" [29]. This means that the selected decision variables are more important decisions than the other decision variables.…”

Section: Methodsmentioning

confidence: 99%

“…SBD explores sets of alternatives, while PBD explores a few alternatives. A set is "a group of design alternatives classified by sharing one or more, but not all, specified design choice(s)" [29]. Wade et al [29] provides a motivation for SBD, seen in Figure 4.…”

Section: Set-based Designmentioning

confidence: 99%

“…A set is "a group of design alternatives classified by sharing one or more, but not all, specified design choice(s)" [29]. Wade et al [29] provides a motivation for SBD, seen in Figure 4. well-documented in the literature [17][18][19][20][21][22][23][24][25][26][27].…”

Section: Set-based Designmentioning

confidence: 99%

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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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Section: Methodsmentioning

confidence: 99%

Section: Set-based Designmentioning

confidence: 99%

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

Specking

Parnell

Pohl

et al. 2018

Systems

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“…Figure 1. Comparison of PBD and SBD (Wade et al, 2018) First, for a complex system design with an infinite tradespace, the probability that systems designers can intuitively identify a finite number of PBDs on the Pareto frontier is zero. Second, for complex systems, the multiple performance measures, the system constraints, and the life cycle cost model are usually nonlinear.…”

Section: Motivation For Set-based Designmentioning

confidence: 99%

“…In this paper, we define Point-Based Design (PBD) as a design that has one choice for each design parameter under consideration. Likewise, we define Set-Based Design (SBD) as the set of designs with one or more choices (but not all) made for each design parameter under consideration (Wade et al, 2018). We refer to the most important design decisions as the set drivers.…”

Section: Introductionmentioning

confidence: 99%

Using Set‐Based Design to Inform System Requirements and Evaluate Design Decisions

Parnell

Specking

Goerger

et al. 2019

INCOSE International Symp

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Set‐Based Design (SBD) is a concurrent engineering technique for system design and systems analysis and an alternative to Point‐Based Design (PBD). System analysts perform Tradespace Exploration in early system design to assess requirements and identify affordable designs that meet complex stakeholder requirements. This paper demonstrates the use of SBD to inform system requirements and evaluate design options. We use an Unmanned Aerial Vehicle (UAV) case study with an integrated Model‐Based Engineering framework with SBD to identify potential designs, assess design feasibility, inform requirements, and evaluate feasible designs displayed in sets with common design choices. We use SIP Math from Probability Management© to explore 100,000 potential systems design concepts and architectures in near real‐time. Using our integrated framework with 47 physics‐based models and 11 requirements, we found that only 2.5% of the potential designs were feasible. We validate that SBD finds the efficient frontier in the value versus cost tradespace. We use SBD to inform systems requirements by identifying the number of potential feasible designs in the tradespace for each requirement or combination of requirements. Relaxing the requirements can increase the percentage of feasible designs. Constraining or relaxing 4 of the 11 requirements significantly affected the feasible design space. We also use SBD to evaluate design options, which provides useful information for system designers. We conclude that SBD provides a more comprehensive tradespace exploration than PBD and useful insights into requirement development.

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Challenges and Opportunities in Trade‐off Analytics for Systems of Systems

Monahan

Jacobs

Markina‐Khusid

et al. 2018

INSIGHT

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Increasingly the systems engineering community recognizes that success of many of today's enterprises depends on our ability to effectively reason about and harness Systems of Systems (SoS) capabilities. This paper specifically addresses the challenges in conducting trade‐off analysis for SoS, approaches that help to alleviate these challenges, and identifies opportunities for further development. For large SoS the use of lightweight analysis approaches provides a way to manage the complexity and identify promising options for more detail trade‐off analysis approaches.

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Designing Engineered Resilient Systems Using Set-Based Design

Cited by 10 publications

References 2 publications

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

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

Using Set‐Based Design to Inform System Requirements and Evaluate Design Decisions

Challenges and Opportunities in Trade‐off Analytics for Systems of Systems

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