隨著 5G 通訊、電動車（EV）及高效能運算（HPC）等應用快速發展，電子產品對高散熱、高可靠度之需求日益提升，使 IMS MCPCB（絕緣金屬基印刷電路板）成為關鍵材料之一。然而，在全球供應鏈受國際貿易政策變動與地緣政治風險影響下，供應商選擇不僅涉及成本因素，更需同時考量品質、交期、技術能力及供應穩定性等多重準則，增加企業決策之複雜性。 本研究以 S 公司為個案，運用層級分析法（Analytic Hierarchy Process， AHP）建構 IMS MCPCB 供應商評選模型。首先透過文獻探討與專家訪談，建立包含品質、成本、交期、技術、服務及公司治理六大構面之評選架構，並發放問卷蒐集專家意見。經一致性檢定後，採用幾何平均法整合專家判斷，計算各構面與次準則之相對權重與整體權重。 研究結果顯示，在六大構面中，以品質構面權重最高（0.437），為供應商評選之最關鍵因素，其次依序為成本、技術、交期、服務及公司治理。在次準則分析中，出貨品質穩定度、出貨品質良率及進料 IQC 管理為最重要之評估指標，顯示 IMS MCPCB(絕緣金屬基印刷電路板)產業具高度品質導向特性。此外，本研究透過三家實際供應商進行可行性驗證，結果顯示 AHP 評選結果與企業實際選擇一致，驗證本模型具備良好之可行性與實務應用價值。 綜合而言，本研究所建構之 IMS MCPCB 供應商評選模型，能有效整合多準則因素並提供系統化決策依據，不僅可協助企業提升供應商選擇之客觀性與一致性，亦可作為後續供應商管理與策略規劃之參考;With the rapid development of 5G communication， electric vehicles， and high-performance computing， electronic products increasingly require high reliability and efficient thermal management. IMS MCPCB has become a key material due to its superior heat dissipation and structural stability. Under this trend， supplier selection has become more complex and requires consideration of multiple criteria beyond cost. This study develops a supplier selection model for IMS MCPCB using the Analytic Hierarchy Process (AHP). Based on literature review and expert interviews， six main criteria are identified: quality， cost， delivery， technology， service， and corporate governance. Expert questionnaires are collected， tested for consistency， and used to calculate the weights of each criterion. The results show that quality is the most important factor， with the highest weight (0.437)， followed by cost， technology， delivery， service， and corporate governance. At the sub-criteria level， shipment quality stability， yield rate， and incoming quality control (IQC) are ranked as the most critical factors， indicating a strong quality-oriented characteristic in the IMS MCPCB industry. A feasibility validation using three actual suppliers confirms that the AHP model results are consistent with the company’s actual supplier selection. This demonstrates that the proposed model is practical and can serve as a useful tool for supplier selection and management.
