Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/20636
標題: 應用類神經網路於供應商選擇之研究
Application of Neural Network to Supplier Selection
作者: Tseng, Bo-Ying
曾柏穎
關鍵字: Purchasing
採購
Neural Network
Supplier Selection
Purchasing Satisfaction
類神經網路
供應商選擇
採購滿意度
出版社: 企業管理學系所
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摘要: 企業在全球化的趨勢之下,固有的生產模式已不再適用於目前的營運環境。近年來,採購對於企業的營運成本占了相當大的部分。正因如此,企業對於採購活動也從過去單純且例行的採購策略演變為組織內的一種策略流程的策略性採購。採購與供應商選擇的議題是一體兩面的,所以採購的重要性與日俱增也使得供應商選擇更加受到重視,而評估供應商的方法眾多,過去主要的評估方式在於計算供應商的績效分數與排序,而未考慮到採購之後對於下游顧客的滿意度,而採購滿意度對於公司是一種不可忽視的績效衡量指標。因此,本研究透過許多文獻探討之後發現類神經網路(Neural Network)是一種評估供應商選擇的方法之中,較佳的評選機制。由於類神經網路能夠處理複雜供應商選擇的非線性問題,本研究採取類神經網路作為供應商評選的方法,以X個案公司為案例,藉由個案公司的訂單資料作為樣本來建構一個供應商選擇的預測模型,以供應商選擇準則為自變數,與過去不同的是將採購滿意度當作依變數,並以迴歸模型作為比較預測準確率的標竿。研究結果顯示,類神經網路模型確實能提供較佳的預測能力,也確能夠帶給企業一個較良好的供應商選擇的依據。
In the trend of globalization for businesses, past production methods are not suitable for the environment today. In recent years, purchasing for businesses has become a huge component of operating cost. For this particular reason, the purchasing activities of businesses have evolved from day to day routine procedures to strategic purchasing procedures. Issues regarding purchasing and the selection of suppliers are related to one another, therefore as the importance of purchasing rises, the selection of suppliers become an important issue as well. Purchasing satisfaction is an important performance evaluation index for all businesses. In the past, the evaluation of suppliers is based on performance scores, but not purchasing satisfaction after the purchasing procedure.Hence, after reviewing several related literatures, this research discovered that neural network is the best among the selection methods. Neural network can solve complicated non-linear problems in terms of supplier selection. This research uses neural network as a method in assessing suppliers. Furthermore, this research uses company X as the subject of this case study, using the company's order information as sample to construct a prediction model of supplier selection. This model uses criteria of supplier selection as independent variables, and different from past approaches, uses purchasing satisfaction as the dependent variable. This research also uses a regression model to compare the accurateness of the predictability of models. The result of this research had indicated that the neural network model can indeed provide a better predictability and can also bring forward a better model of making supplier selection for businesses.
URI: http://hdl.handle.net/11455/20636
其他識別: U0005-1501200815230700
文章連結: http://www.airitilibrary.com/Publication/alDetailedMesh1?DocID=U0005-1501200815230700
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