吳復強952221E238014

吳復強952221E238014

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1 行政院國家科學委員會補助專題研究計畫成果報告 非線性多重動態品質特性之穩健設計 Robust Design of Nonlinear Multiple Dynamic Quality Characteristics 計畫編號: NSC 95 2221 E 238 014 執行期間: 95 8 1 日至 96 7 31 主持人:吳復強 萬能科技大學工業管理系 中文摘要 在靜態與動態品質特性問題上,穩 健設計是以最低成本來減少變異 與改善產品或製程效率的重要方 法之一。而在靜態多重品質特性之 最佳化方法中,渴望函數是最常被 建議使用的方法,然而在渴望函數 中,其忽略了變異與品質特性之間 的相關性,但是變異的減少卻是田 口穩健設計的重要概念。在文獻 中,大部分的穩健設計研究都侷限 於靜態與線性動態品質特性的問 題上。在本研究中,擬提出修正後 的雙指數渴望函數來解決非線性 多重品質特性的問題,並利用溫度 控制迴路的範例來闡述所提方法 的應用與有效性。 關鍵詞:穩健設計、靜態品質特性、動態 品質特性、雙指數渴望函數 Abstract Robust design is an important method to reduce variation and to improve the performance of products or processes at low cost including static and dynamic quality characteristics. For the static multiple quality characteristics optimization problem, the most popular method for simultaneous quality characteristics optimization is the desirability function approach. However, the variation and correlation between quality characteristics are usually ignored in this approach. The variation reduction through robust design introduced by Taguchi is a major concept. Most of the robust design research in the literature focused on problems with static and linear dynamic quality characteristics. In this research we present a method to optimize the nonlinear multiple dynamic quality characteristics based on the modified double-exponential desirability function. The example of a temperature control circuit example is provided to demonstrate the implementation and usefulness of the proposed method. Keywords: Robust design, Static quality characteristic, Dynamic quality characteristic, Double-exponential desirability function 1. INTRODUCTION There are several methods to reduce the effect of noise factors and unit-to-unit variation in order to improve the performance of products and processes. Among these methods, the robust design proposed by Taguchi [19] is a particularly cost-effective approach for helping manufacturers to design their products or processes, leading to higher customer satisfaction and operational performance. The robust design problem is classified as a static problem if the desired output of the system has a fixed target and as a dynamic problem if the desired output of the system is a function of a signal factor setting.
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吳復強952221E238014

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