1.4.2 Synthesizing and Specifying Architectures for System of Systems

Kenley, C. Robert; Dannenhoffer, Timothy M.; Wood, Paul; DeLaurentis, Daniel A.

doi:10.1002/j.2334-5837.2014.tb03137.x

Cited by 15 publications

(9 citation statements)

References 14 publications

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“…Kenley et al. [] describe how to evaluate large architectural design spaces of a system of systems by automating the generation of the communication links needed for executable simulation models.…”

Section: Discussionmentioning

confidence: 99%

“…Research in generating executable models from SysML diagrams allows systems engineers to agree on the conceptual model before a simulation is built; Sha Le, and Panchal [2011] demonstrate how to automatically generate agent-based models from SysML diagrams. Kenley et al [2014] describe how to evaluate large architectural design spaces of a system of systems by automating the generation of the communication links needed for executable simulation models.…”

Section: Discussionmentioning

confidence: 99%

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A Systems Design Exploration Approach that Illuminates Tradespaces Using Statistical Experimental Designs

MacCalman

Beery

Paulo

2016

Systems Engineering

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This paper describes an approach that leverages computer simulation models and statistical experimental designs for exploration studies during the early conceptual design of a system. We apply the approach to a naval ship design problem and demonstrate how we can illuminate trade decisions among multiple design decisions and evaluation measures using a dynamic dashboard. After performing experimental designs on a collection of simulation models, we can fit statistical models that act as surrogates to these simulations. These surrogate models allow us to explore a wider variety of system alternatives rather than fixating on a narrow set of alternatives. The purpose of the approach is to simultaneously explore the operational and physical domains using statistical surrogate models in order to illuminate trade decisions between the system's operational effectiveness and physical design considerations.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

A Systems Design Exploration Approach that Illuminates Tradespaces Using Statistical Experimental Designs

MacCalman

Beery

Paulo

2016

Systems Engineering

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“…In this article, we build upon a well‐known process for synthesizing system architectures that was originally articulated by Levis and Wagenhals, enhanced by Buede, and further improved upon for complex system evaluation by Kenley et al This article proposes a holistic architecture design and evaluation methodology that has evolved from these approaches and integrates a design space characterization capability to systematically identify significant decision variables and quantify their impact on the system performance.…”

Section: System Architecture Development Processmentioning

confidence: 99%

System architecting and design space characterization

Raz

Kenley

DeLaurentis

2018

Systems Engineering

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This article provides a process for system architecting that incorporates a holistic approach for architecture design space characterization by integrating decision alternatives in functional, physical, and allocational design spaces and accounting for interactions. System architects are faced with numerous decisions for system form, functions, and operations when defining a system architecture. Systems designers are tasked with selecting design options which provide the necessary functionality in support of the architecture. Since modern systems, especially system-of-systems, are composed of interacting and interwoven functions and elements, it is imperative to holistically evaluate variations in the system architecture and system design, and discover interactions among and between architecture decisions and design decisions. In this article, this design space characterization is made an integral part of the system architecting process and a set-theoretic framework is developed for managing an extensive design space. The design space characterization problem is formulated as identification of the significant decisions variables and quantification of their impact on the system objectives. A Design of Experiments framework-utilizing Analysis of Variation (ANOVA) and Range Tests-is presented to holistically characterize system architecture design space including the interactions between system form, function, operations, and design decisions. K E Y W O R D Sdesign of experiments, design space exploration, system architecting, system-of-systems architecting, trade-off analysis Systems Engineering.

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“…To generate an ABS using the SysML representation, it is important to understand the minimum information required by the ABS. Kenley et al (2014) reviewed ABS approach in the MBSE context and they have defined a dynamics model of an agent as shown in the Figure 2. Thus, the basic components of an ABS can be identified as follows (Macal & North, 2014): 1.…”

Section: Understanding the Link Between Sysml And Agent-based Simulationmentioning

confidence: 99%

Minimum SysML Representations to Enable Rapid Evaluation using Agent‐Based Simulation

Maheshwari

Raz

Dervisevic

et al. 2018

INCOSE International Symp

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The changing operational requirements and demands for new capabilities, often makes it necessary for systems architects to make substantial changes in a system's architecture. However, the traditional systems engineering processes advocate finalization of architecture at early stages of the design process with little or no change at the later stages of the design. The simulation development is often done towards the end of the design phase and thus, the traditional systems engineering approaches do not support a rapid architecture evolution. In this paper, we propose a Model‐Based Systems Engineering (MBSE) process to facilitate rapid evaluation of changes in a system architecture and/or design artifact for complex systems. This process specifies the minimum set of information that needs to be included in system architecture using SysML diagrams with traceability between the diagrams and agent‐based simulation (ABS) models of a complex system. We demonstrate this SysML‐driven analysis approach to perform a rapid evaluation of evolving system architectures using a NASA‐sponsored project to analyze ab initio architectures for the National Airspace System. We also demonstrate how the proposed approach enables early‐on investigation during the architecture development whether an architecture will yield the desired operational benefit.

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1.4.2 Synthesizing and Specifying Architectures for System of Systems

Cited by 15 publications

References 14 publications

A Systems Design Exploration Approach that Illuminates Tradespaces Using Statistical Experimental Designs

A Systems Design Exploration Approach that Illuminates Tradespaces Using Statistical Experimental Designs

System architecting and design space characterization

Minimum SysML Representations to Enable Rapid Evaluation using Agent‐Based Simulation

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