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Multi-Criteria Decision Analysis On Aircraft Stringer Selection.pdf

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Preview of Multi-Criteria Decision Analysis on Aircraft Stringer Selection
🔗 Source: alysongwilson.github.io
📊 Size: 143 KB
📄 Pages: 10 pages
⬇️ Downloads: 119

Summary

The approach involves five MCDA algorithms that account for uncertainty in decision criteria and weights, using probability scoring and Bayesian modeling. A case study is used to demonstrate the application of the method, which ranks three stringer designs based on five decision criteria: cost, cycle time, labor hours, rework rate, and Technical Readiness Level (TRL). The approach is compatible with other "winning" measures and can handle missing observations and uncertain weights.

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Description

The approach involves five MCDA algorithms that account for uncertainty in decision criteria and weights, using probability scoring and Bayesian modeling.

Technical Information

  • File Format: PDF
  • File Size: 143 KB
  • Pages: 10
  • Language: EN
  • Total Downloads: 119
  • Last Updated: 1 week ago

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This PDF document about Multi-Criteria Decision Analysis on Aircraft Stringer Selection provides comprehensive information and guidance. Whether you're a beginner or advanced user, this resource offers valuable insights into Multi-Criteria Decision Analysis on Aircraft Stringer Selection.

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Multi-Criteria guideMulti-Criteria tutorialDecision guideDecision tutorialAnalysis guideAnalysis tutorialAircraft guideAircraft tutorialStringer guideStringer tutorialSelection guideSelection tutorial

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