META II Complex Systems Design and Analysis (CODA)

Murray, Brian T; Pinto, Alessandro; Skelding, Randy; Weck, Olivier de; Zhu, Haifeng; Nair, Sujit; Shougarian, Narek; Sinha, Kalyan B.; Bopardikar, Shaunak D.; Zeidner, Larry

doi:10.21236/ada552676

Cited by 10 publications

(8 citation statements)

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“…mation-based methods are good for measuring the size, heterogeneity, and uncertainty aspects of system complexity, they do not capture the effect of topology of interactions and dynamical behavior of the system. Murray et al (2011) propose the concept of dynamic complexity that combines information entropy and topology of interactions in a single measure. This marks an important step in moving towards a comprehensive system complexity measure.…”

Section: Measuring Complexity Of Engineering Systemsmentioning

confidence: 99%

“…Several improvements were made to the state-of-the-art during the Meta program, which have taken us closer towards a comprehensive metric for complexity. Murray et al (2011) combines an information-theoretic measure with a topology measure to create a combined measure of system complexity. However, their topology measure does not account for the directivity of interactions, which is an important aspect for capturing the coupling between the components.…”

Section: Measuring Complexity Of Engineering Systemsmentioning

confidence: 99%

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Managing Complexity in Model‐Based Conceptual Design

Tamaskar¹,

Neema²,

DeLaurentis³

2014

INSIGHT

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Section: Measuring Complexity Of Engineering Systemsmentioning

confidence: 99%

Section: Measuring Complexity Of Engineering Systemsmentioning

confidence: 99%

Managing Complexity in Model‐Based Conceptual Design

Tamaskar¹,

Neema²,

DeLaurentis³

2014

INSIGHT

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“…The META II Complex Systems Design and Analysis (CODA) project 4 investigated new design techniques relying on engineering software models for early design activities. Key components of the META design process include deliberate use of layers of abstraction, development and use of a component model library (C2M2L), and virtual verification and validation processes.…”

Section: Introductionmentioning

confidence: 99%

Interactive Models as a System Design Tool: Applications to System Project Management

Grogan

Weck

Ross

et al. 2015

Procedia Computer Science

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Frequent and significant cost and schedule overruns in large aerospace and defense projects are hypothesized to be attributed to limitations on designers' perception of complex systems. New design methods and tools to improve perception could reduce design effort. This paper extends an existing model of system project management to incorporate new methods for collaborative modeling and rapid sensitivity analysis using web-and browser-based technologies. A JavaScript-based API and model implementation in the system dynamics formalism replicate previous model results. Performance benchmarks demonstrate model execution in around 100 milliseconds on consumer hardware. Data storage and remote model execution services compose and query model results across executions. Browser-based user interfaces and visualizations allow users to interact with model components and provide batch model execution, tradespace exploration, sensitivity analysis, and time series comparison.

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“…73 describes a model-based approach and the benefits to be gained through "what-if" interactive planning models. A systems dynamics model prototype, developed by de Weck 74 in prior DARPA work explored the potential for an interactive project planning environment. An open area of research is to build on the prototype with exploratory extensions for planning.…”

Section: Introductionmentioning

confidence: 99%