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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/71515


    Title: 在語言偏好和不完全訊息下兩種供應鏈管理績效評估;Two Supply Chain Management Performance Evaluation Considering Linguistic Preference and Incomplete Information
    Authors: 蘇春美;Su,Chun-mei
    Contributors: 企業管理學系
    Keywords: 供應鏈績效;模糊理論;可持續的供應鏈管理;決策性實驗室法;模糊決策性實驗室方法;灰色理論;Supply chain performance;fuzzy set theory;decision making trial and evaluation laboratory;DEMATEL;Grey theory;sustainable supply chain management
    Date: 2016-07-27
    Issue Date: 2016-10-13 13:10:34 (UTC+8)
    Publisher: 國立中央大學
    Abstract: 供應商績效評估一直都是供應鏈管理重要的課題,企業中的採購部門必須定期的評估供應商的績效,以期望供應商能達到企業的需求。在進行供應商評估時,必須同時考慮多個指標及決定指標的權重,由於指標間具有相依及回饋的情形,故權重的決定也較為複雜,此外由於績效指標有互相影響的情形,也因此供應鏈管理在創造競爭優勢中扮演著的重要角色。如何增進供應鏈績效(SCP)及可持續的供應鏈管理(SSCM)也因此受到關注。在電子產業中,由於其供應鏈的複雜性,相對於供應鏈績效(SCP)更是關鍵的必要因素;然而,在目前文獻中對於一套完整的相關因素尚未被確認且在這些相互交錯關係的因素裡也尚未被充份檢試。
    傳統上,決策性實驗室法(DEMATEL)沒有辦法解決其階層性的結構,並關係到分析方法中的不完整的資訊;然而,灰色理論補充了不完整的資訊。本研究目的是運用模糊決策性實驗室方法(fuzzy DEMATEL )來檢試在不確定的情況下的階層結構之間的相互關係屬性中因素。本研究將有助於探索供應鏈發現決定因素。在研究結果顯示可持續的供應鏈管理(SSCM)應優先結合科技資訊(IT)以增強供應鏈績效(SCP)。在電子產業中應該考慮升級,並實際整合科技資訊(IT),鼓勵合作,包括在管理作業活動中,開發新市場,並回應客戶們需求。再則本研究結果呈現廠商利用再循環、再利用及減少選項來作為增加應用材料的節省途逕,也是對於供應廠商最好的規範的工具。本研究的結論是分層分析方法為未來的學術和實踐的研究奠定了堅實基礎。
    ;Supply chain management plays an important role in creating competitive advantage; hence, supplier performance evaluation of supply chain management has always been an important issue. Companies’ purchasing department must regularly evaluate supplier performance to expect suppliers to achieve business goals.Therefore, how to effectively enhance supply chain performance (SCP) and sustainable supply chain management (SSCM) is receiving increasing attention. For the electronics industry, due to the complex nature of its supply chain, knowledge of attributes that are critical for SCP is imperative. However, a complete set of relevant attributes has not been identified in the literature and there has been no thorough examination of the interrelationships among these attributes. Traditionally, the decision-making trial and evaluation laboratory method does not address a hierarchical structure and involves incomplete information within its analytical method. However, the grey theory compensates for incomplete information. The purpose of this study is therefore to identify the interrelationships among attributes and hierarchal structure under conditions of uncertainty by employing fuzzy decision-making trial and evaluation laboratory methods. The SSCM results show that information technology (IT) and collaboration should be prioritized in order to enhance SCP. This study indicates that firms in the electronics industry should consider upgrading and integrating IT in their practice, encourage collaboration, including in operational activities, develop new markets and be responsive to their customers. The results present the recycle/reuse/reduce option as a tool to increase the material savings percentage, which is the top criterion for supplier selection. With the achieved rsults, this study contributes to supply chain literature by the exploring of decisive attributes by providing the hierarchical analytical method as a strong basis for future academic and practitioner research.
    Appears in Collections:[企業管理研究所] 博碩士論文

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