隨著兩岸政策的開放，金融業面臨著瞬息萬變、倍速成長、地域競爭的經營環境，如何能迅速回應環境與組織的變遷以及提升全球化競爭的能力，儼然已成為金融業者經營方針的重要議題。企業追求獲利、永續經營的理念建構於良好的企業營運績效管理，而企業資源規劃(ERP)具有整合平臺、彈性的作業流程、即時資訊彙總的功能，能夠提供企業做為營運管理、決策分析與提升競爭優勢管理工具，因此已成為眾多企業導入的選擇。 個案公司導入ERP系統的效益希望能提升營運績效整合與資訊分析的能力，因此，本研究對個案公司導入ERP系統時著重於各項關鍵研究議題：願意「改變」的決心、員工的配合心態、現行作業流程的差異程度、具體化功能規格的敘述、資訊分析維度的細度決定、外圍系統資訊流介接能力等構面，本研究希望能將ERP系統導入決策過程、供應商遴選與導入期間各項關鍵問題的發現暨解決方案等研究結果，逐一實踐在個案公司的導入專案。

在全球化競爭的條件之下，企業之專業分工漸趨精細，企業為了發展自己本身的核心能力，選擇將非核心能力委外給專業的第三方，以求獲得更佳的服務品質且為企業減少成本支出。其中物流相關費用占企業營運費用約5%~35%，物流在整體企業營運扮演重要角色，近年來供應鏈管理的興起，企業更加重視與上下游廠商間協調關係，物流管理受到重視，物流關係到整體供應鏈的穩定度，因此在選擇物流委外供應商時，企業需審慎的評估供應商各方面的能力，以選出最適物流委外供應商。 　　過去評選物流委外供應商，多數藉由專家主觀判斷，本研究提出一套完整的物流委外供應商評選模式，以客觀的角度評選物流委外供應商。過去文獻中多數假設評估準則間關係獨立，此假設與現實狀況不符，評估準則通常存在相互關聯。企業在評選過程中，針對特定評選準則會有限定標準，若單以績效值評估，不符企業之需求，本研究將其納入考量，建立出更加完整的物流委外供應商評選模式。此評選模式可給予參與評選之候選廠商改善建議，為雙方建立良好的關係，創造雙贏的局面。 　　本研究透過決策實驗室法建立指標之網路關係，以網路程序分析法計算指標之權重，於評分處理部份，針對企業特定評選指標，透過田口品質損失函數轉換成與目標之損失值，最後藉由VIKOR排序法評選出最佳物流委外供應商。受限於成本考量，本研究透過系統動態學模擬運送情形，藉由所獲得之營運資料驗證此評選模式。 / Under the global competitive conditions, enterprises become more sophisticated division of labor. Enterprises want to develop their own core competencies. Enterprises choose to outsource non-core capabilities to third-party professional,because of better service quality and reducing costs for enterprises. In recent years, enterprises pay more attention to coordination with the relationship between upstream and downstream firms. The logistics in the overall business operations play an important role. Therefore, in the choice of logistics outsourcing providers, enterprises evaluate all aspects of supplier's abilities to select the most suitable supplier of logistics outsourcing. 　　This study provides a complete model to evaluate logistic service providers. Enterprises in the selection process, selection criteria will be qualified for a particular standard. Selection criteria usually have interrelationship. Under the condition, this study use DEMATEL and ANP to create criteria relationship and compute criteria weights. Taguchi loss function is used to calculate some criteria loss value, which is the distance between enterprise’s target values. Finally, VIKOR combines loss value with performance value to select the best logistics service providers. These models also give candidates some suggestions to improve their performance.

關於供應商評選模式的探討與研究，是現今於供應鏈管理中非常重要的議題，而對於國內外供應商評選的相關性研究中，往往只考量供應商本身績效，而缺乏整體性的考量，有鑑於此，當企業在評選供應商時，不僅是針對單一供應商績效的考量，而對於供應商本身上下游廠商的整體績效的考量，也是相當重要的評選因素。本研究運用資料包絡分析法(Data Envelopment Analysis, DEA)與簡易多屬性評等技術(Simple Multi-Attribute Rating, SMART)，以建構較完整的供應商評選模式，協助企業的決策者選擇最適的供應商。 在進行供應商與供應商所屬的供應鏈之績效評估時，利用資料包絡分析法中的交叉模式計算供應商與供應商所屬的供應鏈之平均效率，再藉由平均效率值以排序供應商與供應商所屬的供應鏈之優先順位，但因兩者之順序會產生不一致的情形，利用SMART法中的排序加總法計算兩者之權重值，最後以加總法計算綜合效率值，依據綜合效率值加以排序以評選最適的供應商，而此兩種方法的結合， 則需透過驗證的方式以確定運用之正確性，利用系統動力學(System Dynamics, SD)以建構供應鏈之整體廠商的經營環境，模擬供應鏈整體廠商之績效評估模式，以產生模擬驗證排序，最後再將綜合排序與驗證排序，利用Spearman等級相關係數驗證其相關性，而最終證明兩排序具有高度相關性，也證實本研究所提出的供應商評選模式富有參考價值。 / The research of supplier selection model is a very important issue in supply chain management (SCM). Even though the research on supplier selection is abundant, the most works usually only consider the performance of the supplier. This situation can result in a lack of integral deliberation. Therefore, the decision-maker wants to select his vendor in the company, it is important that the decision-maker not only focus on the business unit but also add to the overall organization of the supply chain. In this paper the Data Envelopment Analysis (DEA) and the Simple Multi-Attribute Rating (SMART) are developed to construct the effective supplier evaluation model depends upon the constituent parts of the supply chain, which may be helpful for selecting the appropriate vendor. When evaluating the performance of the supplier and the supplier’s supply chain, the cross-efficiency model of DEA is applied to compute average efficiency both the supplier and the supply chain. According to average efficiency, we can arrange the priority order that may be have the inconsistent order for the suppliers and their supply chains. The rank sum weighting of SMART is employed to determine the weights of suppliers and their chains and then the weighted method is used to calculate overall efficiency that ranking of the suppliers is obtained. Above of two methods, we must be verify the model. The System Dynamics (SD) is designed to implement the whole components of the supply chain for business environment and simulate the performance model. Based on this performance model, we can acquire a confirmation list. In the end, the Spearman’s rank correlation coefficient is provided to testify the correlation between the overall order and the confirmation list. The result of the statistic analysis is illustrated the strength of the association. The model can be tailored and applied by firms that are making decisions on supplier selection.