2023/10/25 → 11:07 → [[EM.411]] [[meeting]] →
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System Engineering with Eric Rebentisch

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Selecting among design options

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Matrices

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Weighted matrix

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Analytic hierarchy process

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Maybe Fibonacci weighting would make sense

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Trade study

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Explores the solution space

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Process

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Study rules

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Includes choosing evaluation criteria and their relative importance

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This feels similar to setting up the matrices

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Sample

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Test

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Could be back off the envelope, or a contractor deliverable

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Tradespaces

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Pareto front is essentially about ROI

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Which is essentially about opportunity cost

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Relationship of attribute to utility

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Multi-Attribute Tradespace Exploration

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Cost is often used to represent the combined attributes

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Single attribute

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Probably best to segment by highest connectivity and highest sensitivity architectural decisions

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Feels like evaluation criteria for trade studies, attributes for tradespace and matrices are really the operative work. These different methods are essentially different ways of data visualization

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Multiple stakeholders

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Arrow’s impossibility theorem

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In general there is no optimal solution to a problem where stakeholders have conflicting needs

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Design vector

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The vector representation of the Architectural Decisions

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Made up of design variables

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Design-value matrix

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Attributes vs design variables

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Are these 1-1?

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No

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