Triple-A供應鏈績效評估模式之建立 none

NCUIR > School of Management at National Central University > Graduate Institute of Business Administration > Electronic Thesis & Dissertation > Item 987654321/44096

Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/44096

Title:	Triple-A供應鏈績效評估模式之建立 none
Authors:	趙佑宣;Yu-Husan Chao
Contributors:	企業管理研究所
Keywords:	利益一致性;適應性;供應鏈;績效評估;反應靈活性;Supply Chain;Performance Measurement;Agility;Adaptability;Alignment
Date:	2010-07-27
Issue Date:	2010-12-08 14:48:56 (UTC+8)
Publisher:	國立中央大學
Abstract:	近年來市場全球化、競爭激烈化及外包等因素增加商業環境的不確定性及不可預測性，組織能適應難以預測之改變成為一個獲得與維持競爭優勢的條件。過去研究所建立之供應鏈績效評估模式卻未包含Triple A（Agility, Adaptability, and Alignment）此三項對供應鏈績效表現有所影響的性質。因此，本研究期望為許多面對競爭激烈、環境變遷快速之環境產業的企業，建立一套結合Triple-A性質之供應鏈績效評估模式，使這些企業，可獲知自身供應鏈管理的績效與競爭對手之間的差距，以此輔助供應鏈管理之上的決策。本研究採用文獻探討法選取出24項績效評估指標，再以前測施測檢視指標與架構的適切性，其後採用分析層級程序法（Analytic Hierarchy Process），請人類專家為供應鏈績效評估模式中各構面之間以及各指標之間決定相對權重。整合專家意見後，將取得績效評估指標的跨構面相對權重值，即為本研究所建立之供應鏈績效評估模式。最後，將再以驗證問卷確認模式可於實務界中有效運作。根據研究結果，企業進行供應鏈績效評估時，最重視指標為「前置時間縮短指標」、「彼此信任指標」、「顧客滿意度」等非資源投入相關之指標，而與傳統中最被重視的資源相關的指標，卻無一成為關鍵績效指標，顯示出受到現今商業環境的影響，企業對於供應鏈績效的衡量準則已有所變化。 The market globalization, intense competition, and outsourcing contributing to uncertainty and unpredictability, and the abilities of an organization to adapt to unexpected changes are critical to achieving and maintaining a competitive advantage. Researches about establishing Supply Chain Performance Measurement Models (SCPMM) in the past didn’t con contain the Triple-A’s attributes (Agility, Adaptability, and Alignment) which held a huge influence in the Supply Chain Performance. Thus, this research expects to establish a SCPMM for companies in many industries which are fronting intensely competitive and fast-changing environment. So that the companies can understand how is the supply chain performance gap between the competitors and itself, and use this information to make the decision on supply chain management. This research extracts 24 metrics by reviewing literatures, and uses a pretesting to validate the metrics and architecture. Afterward, it applys Analytic Hierarchy Process (AHP) to establish the SCPMM: The human experts determine the relative importance between the dimensions and the metrics. After the opinions converged, the cross-dimensional relative importance will be determined, and it is the SCPMM. Finally, this rearch uses the vailition survey to confirm the model is really worked. According the research result, when a company is measuring its supply chain performance, the most important metrics are “lead time condensation”, “Trust each other”, and “Customer satisfaction” but not the traditional resource-related metrics. In fact, there is no resource-related metric being a key performance measurement metric.The result implies the principles that companies measuring the SC performance are changing for the current commercial environment.
Appears in Collections:	[Graduate Institute of Business Administration] Electronic Thesis & Dissertation

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