隨著半導體產業加速邁入 More-than-Moore 時代，產品價值結構由晶體管微縮優勢轉向系統整合能力、異質整合介面與供應鏈協同效率。對後段設備製造商而言，先進封裝對精度、產能配置、流程穩定度與跨廠協作的要求已逼近前段製程，使企業必須同時面對技術複雜度上升、需求波動加劇與交期風險擴大的多重挑戰。然而現行管理仍以部門經驗與局部指標為主，缺乏能從組織全域視角揭露關鍵瓶頸、量化數位轉型投資的優先程度與支撐策略決策的分析架構，形成多數後段設備廠數位轉型不易落地的根本原因。
本研究從企業營運目標出發，構建一套兼具分析深度與管理可操作性的數位轉型架構。首先，將組織營運分解為品質、生產力與供應鏈三大功能領域，並以描述、診斷、預測、處方與智能化五類分析能力建立數位成熟度指標，用以量化現行資料基礎、流程整合度、模型能力與自動化潛力之能力缺口。其次，本研究導入簡易多屬性評等技術（SMART），結合營收、風險、資源與報酬等 4R 決策構面，將高階主管的策略優先度與現場系統成熟度整合，使企業能同時掌握「現況差距」與「投資效益」兩個核心軸度。藉由交叉比對成熟度與管理重要性，本研究得以辨識真正影響營運績效的關鍵模組，作為轉型推動路徑與資源配置的依據。
本研究以國內後段半導體設備製造商為實證案例，透過實際評估資料、跨部門訪談與決策工作坊，驗證本架構在揭露數位落差、指認瓶頸環節與形成轉型藍圖方面的可行性與產業效益。實證顯示，本架構可有效將原本碎片化的資料系統與經驗導向之管理行為轉化為可量化的決策依據，協助企業明確界定短中期應投入之模組（例如排程優化、載能管理、品質追溯、供應鏈協同等），並評估各數位轉型模組對營收、交期、資源效率與風險管理等管理目標的重要性，進而支持可持續的智慧製造推動策略。
本研究的貢獻在於：（1）提出一套貼合 More-than-Moore 生態與後段設備產業特性之數位轉型量化架構，補足現行文獻缺乏跨功能決策視角的限制；（2）整合數位成熟度與 SMART 管理權重，提供企業可用以辨識關鍵投資模組的量化決策機制；（3）透過實證驗證，展示本架構在企業轉型推動、營運瓶頸診斷與投資策略制定上的實務價值，為後段設備廠提升營運韌性、縮短交期與強化國際競爭力提供具體可落地之數位轉型藍圖。

As the semiconductor industry advances toward the More-than-Moore paradigm, competitiveness increasingly depends not on device scaling but on heterogeneous integration, system-level functionality, and responsive supply-chain coordination. For backend equipment vendors, this transition amplifies the complexity of maintaining product quality, manufacturing productivity, and supply-chain resilience under fluctuating demand and shortened product lifecycles. Traditional approaches for performance assessment are insufficient to capture the multidimensional requirements of digital transformation and often fail to provide actionable insights for strategic planning.
This study proposes a structured digital transformation framework that decomposes corporate objectives into three functional domains including yield, productivity, and supply chain, and evaluates them through five analytical dimensions representing descriptive, diagnostic, predictive, prescriptive, and cognitive intelligence. A quantitative digital maturity assessment is developed to measure current capabilities and identify structural gaps. In parallel, Simple Multi-Attribute Rating Technique (SMART) is employed to quantify managerial priorities from revenue, risk, resource, and return perspectives. By integrating technical maturity with managerial weighting, this research identifies critical transformation gaps and derives a coherent roadmap that aligns digital investments with operational and financial objectives.
An exploratory case study involving a semiconductor backend equipment vendor is conducted to validate the practical applicability of the proposed framework. The results highlight high-impact modules with substantial improvement potential. The contributions of this research are threefold: (1) establishing a quantitative and domain-structured framework for digital transformation within the More-than-Moore ecosystem, (2) integrating digital maturity evaluation with SMART-based managerial prioritization to support strategic decision making, and (3) providing a practicable transformation roadmap tailored for backend equipment vendors pursuing intelligent manufacturing.

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