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題名:供應鏈績效評估與最適標竿之選擇
作者:戴文禮
作者(外文):Wen-Li Dai
校院名稱:國立成功大學
系所名稱:工業與資訊管理學系碩博士班
指導教授:利德江
學位類別:博士
出版日期:2008
主題關鍵詞:供應鏈績效評估資料包絡分析敏感度分析最適標竿類神經網路支援向量機Supply chain performance estimationData Envelopment AnalysisSensitivity analysisRobust benchmarksNeural networkSupport Vector Machine
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供應鏈是隨時間與環境而變的動態系統,一個供應鏈體系內的績效不但會因一個企業的加入或退出而影響,也會因評量因子之不同而有影響。要提高供應鏈的競爭力與營運效率,需要靠有效的供應鏈績效評估方法,以提供改善的建議。不同於一般只探討單一績效的衡量模式,本研究使用資料包絡分析的方法,客觀及完整地研究供應鏈管理的績效。本研究亦應用支援向量機與類神經網路來驗證行業分類,以讓營運績效表現比較不好的公司得以參考該行業表現比較好的公司之經營經驗作為標竿管理的對象。本研究經由詳細探討其績效敏感度的過程,得以找到該行業表現穩定最佳標竿公司以作為參考管理的對象。
Supply chains are considered dynamic systems nowadays and will change with time and environment. Thus, the performance of a supply chain system will not only be influenced by the determined measuring factors but also by a joining or withdrawing of enterprises. To successfully enhance the supply chain competitiveness and business operation efficiency needs, an effective supply chain performance appraisal method to precisely determine the improving strategy is proposed. Different from methods that only probe into the measurement of a single business, this study uses the Data Envelopment Analysis method to objectively and completely study the performance of supply chains within an industry. This study also employs the Support Vector Machine and Neural network methods to verify businesses group classify. Using sensitivity analysis method to measure supply chain collaborative performance and found the benchmark companies. The objective of this approach is to find a specific cluster of businesses that can be directly employed as benchmark companies for closely related companies having inferior performance. This approach principally aims at finding: (1) an effective collaborative performance evaluation method that can cover the measuring factors admitted by all chain members; (2) the robust benchmark companies for closely related chain members. The results of this research clearly show the expected study target that will benefit chain members in performance improvement.
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