關鍵零組件供應商評選分析-以某電子國際大廠為例

Key Component Supplier Evaluation Model – a case study of a leading electronic company

陳力禎(Li-Chen Chen)

指導教授 ： 盧大平

國立臺北科技大學/管理學院/工業工程與管理系碩士班/碩士(2013年)

https://doi.org/10.6841/NTUT.2013.00066

摘要

由於供應商評選所需要考慮的因素是相當複雜，且具有相當大的不確定性，因此，在供應鏈管理中，如何評選一個合適的供應商是一個相當具有挑戰性的問題。對許多公司而言，有效率且準確的供應商評選可以提高其生產和物流管理的效率。本研究的目的在提供一個全面性的評選關鍵零組件供應商的準則模型，這些準則是基於40篇相關文獻的探討，再經由專家意見法，來完成此評估準則模型。
本研究以某電子國際大廠為例，由12位具有採購決定權的專家填寫為卷，利用模糊層級分析法來計算評選關鍵零組件供應商，其準則的相對權重。此模型提供經理人為供應商評選時的評估清單。最後，利用兩位經理所填寫的分數表驗證此模型的適用性。

關鍵字

供應商評選準則 ； 模糊層級分析法 ； 電子製造業

並列摘要

Evaluation of appropriate suppliers in supply chain management strategy is a challenging issue because evaluating criteria are characterized with complexity, elusiveness, and uncertainty in nature. Effective and accurate supplier evaluation decisions are important for productions and logistics management in many firms to enhance their organizational performance. The purpose of this study is to provide a comprehensive key component supplier evaluation model. This model of criteria is based on a review of 40 related journals and experts review.
In this research, we use a leading electronic company, X, as a case study. Fuzzy analytic hierarchy process (FAHP) is applied to calculate the weighting of selection criteria for key component supplier evaluation. A designed FAHP questionnaire was sent to twelve procurement decision makes in Company X. The model can be used as a checklist in order to ensure that no key components are missing in the evaluation process. Finally, score cards filled by two managers are used to verify applicability of the model in the real world.

並列關鍵字

Supplier Evaluation Criteria ； Fuzzy Analytic Hierarchy Process ； Electronic manufacturing industry

參考文獻

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Reference List

[1] Giuseppe Bruno,et al., “AHP-based approaches for supplier evaluation: Problems and perspectives”, Journal of Purchasing and Supply Management, vol. 18, 2012,pp. 159–172.

[2] A. Amid and S.H. Ghodsypour, C. O’Brien, “A weighted max–min model for fuzzy multi-objective supplier selection in a supply chain”, International Journal of Production Economics, vol. 131, 2011, pp. 139–145.