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Quality Loss Functions for Optimization Across Multiple Response Surfaces

Quality Loss Functions for Optimization Across Multiple Response Surfaces. 指導教授： 童超塵 作者 ： ALLAN E. AMES NEIL MATTUCCI GEZA SZONYI DOUGLAS M. HAWKINS 主講人 ：林揚承 06/10/23. Introduction.

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Quality Loss Functions for Optimization Across Multiple Response Surfaces

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  1. Quality Loss Functions for Optimization Across Multiple Response Surfaces 指導教授： 童超塵 作者 ：ALLAN E. AMES NEIL MATTUCCI GEZA SZONYI DOUGLAS M. HAWKINS 主講人 ：林揚承 06/10/23

  2. Introduction • Most manufactured products have multiple quality criteria, while traditional RSM optimizes just a single criterion • Loss functions provide a conceptual framework for combining different criteria into a single objective function

  3. Extension of the Loss Function to Multiple Responses

  4. The Process Related Quality Loss Function (GQLP)

  5. Process Development with GQLP & QLP

  6. Minimizing QLP

  7. Example 1:Thermal Imaging Product Design

  8. Example 2:Tire Tread Compound

  9. 結論與心得 • 主要是提出了一個新的且具有效力的方法來處理一個在製造複雜產品常遇到的問題，流程必需滿足各種要求的標準來達到所謂高品質產品。 • 這基本的策略就是利用反應群面實驗來獲得多項式中，再使用已知或要求的目標值來結合到單一的loss function。 • Minimizing the loss function來讓流程能到最好的操作狀態。

  10. 謝謝大家

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