在永續發展與節能需求日益提升的趨勢下，反射式液晶顯示器（Reflective LCD, RLCD）因具備低功耗、無藍光刺激及類紙張閱讀等優勢，逐漸成為戶外可視顯示與穿戴式裝置之重要顯示技術。然而，RLCD之整體光學特性受到反射率、對比度、色彩飽和度與白點偏差等多項指標影響，且各光學特性間常存在設計取捨，使得傳統單因子或試誤式最佳化方法難以兼顧整體視覺品質，並可能造成產品開發週期延長與實驗成本增加。因此，本研究旨在建立一套兼具科學分析與人因視覺感受之 RLCD 光學多目標最佳化流程，以提升光學設計效率與產品品質。
本研究首先利用層級分析法（Analytic Hierarchy Process, AHP）整合四項光學指標，建立綜合光學評估指標 Y_overall，作為後續多目標最佳化分析之依據。接著，根據文獻探討與實際製程分析歸納九項製程因子，並採用 2^(9-4) 解析度IV部分因子實驗設計搭配變異數分析（Analysis of Variance, ANOVA）進行關鍵因子篩選。結果顯示，Cell間距為最顯著之影響因子，而色阻厚度亦具有顯著影響。後續再以反應曲面法（Response Surface Methodology, RSM）進行建模，並透過最陡上升法（Path of Steepest Ascent, PSA）與中央複合設計（Central Composite Design, CCD）建立二階迴歸模型，以獲得較佳之參數組合。
研究結果顯示，本研究建立之二階反應曲面模型具有良好之統計顯著性，且Lack of Fit未達顯著，顯示模型可有效描述RLCD光學特性與製程因子間之關係。透過本研究所建立之多目標最佳化流程，可有效整合反射率、對比度、色彩飽和度及白點偏差等多項光學特性，並獲得兼顧各項光學特性之最佳設計條件。整體方法除可降低傳統試誤法所耗費之時間與成本外，亦可作為RLCD新產品開發與製程參數設定之系統化決策工具，提供顯示器光學最佳化設計之參考依據。

Reflective Liquid Crystal Display (RLCD) technology has attracted considerable attention because of its low power consumption, paper-like readability, and reduced blue-light emission. However, optimizing multiple optical characteristics, including reflectance, contrast ratio, color saturation, and white-point chromaticity, remains challenging because of the trade-off relationships among these characteristics. Therefore, this study proposes a systematic multi-objective optimization methodology for RLCD optical design by integrating the Analytic Hierarchy Process (AHP), Design of Experiments (DOE), and Response Surface Methodology (RSM).
First, AHP was employed to integrate multiple optical characteristics into a comprehensive performance index based on expert visual preferences. Subsequently, a 2^(9-4) Resolution IV fractional factorial design (FFD) combined with Analysis of Variance (ANOVA) was applied to identify the significant process factors affecting optical performance. The results indicated that Cell Gap and Color Resist Thickness were the primary influencing factors. RSM, the Path of Steepest Ascent (PSA), and Central Composite Design (CCD) were then employed to establish a second-order regression model. Based on the developed model, Numerical Optimization was performed to determine the optimal process conditions.
Experimental verification confirmed that the optimized process conditions simultaneously improved reflectance, contrast ratio, and color saturation while reducing white-point chromaticity deviation. The proposed optimization methodology provides a systematic approach for RLCD optical design and process parameter optimization while reducing development time and experimental effort.

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