Application of data mining techniques in the analysis of the supply chain vendors

碩士 === 東吳大學 === 資訊管理學系 === 102 === Under the premise that satisfying customer’s demands, the purpose of supply chain management is all aspects of integrated management, such as to minimize logistics and inventory costs from purchasing, materials management and logistics. To construct consummate supp...

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Main Authors: CHENG,KAO, 高誠
Other Authors: Li-chen,Cheng
Format: Others
Language:zh-TW
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/464aud
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spelling ndltd-TW-102SCU003960142019-05-15T21:13:46Z http://ndltd.ncl.edu.tw/handle/464aud Application of data mining techniques in the analysis of the supply chain vendors 應用資料探勘技術於供應鏈廠商之分析 CHENG,KAO 高誠 碩士 東吳大學 資訊管理學系 102 Under the premise that satisfying customer’s demands, the purpose of supply chain management is all aspects of integrated management, such as to minimize logistics and inventory costs from purchasing, materials management and logistics. To construct consummate supply chain management information systems can be effective management and further increasing the utilization of company resources. This research presents the RFM model, which founded membership as system model, identifying sequences of different regions of consumption by sequence mining. Therefore advance the emerging, different, unexpected, added/perished and repetition, to have the best reference of supply chain relationships management, which links the vendors of supply chain, through the analysis of sales in different regions. Li-chen,Cheng 鄭麗珍 2014 學位論文 ; thesis 53 zh-TW
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language zh-TW
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description 碩士 === 東吳大學 === 資訊管理學系 === 102 === Under the premise that satisfying customer’s demands, the purpose of supply chain management is all aspects of integrated management, such as to minimize logistics and inventory costs from purchasing, materials management and logistics. To construct consummate supply chain management information systems can be effective management and further increasing the utilization of company resources. This research presents the RFM model, which founded membership as system model, identifying sequences of different regions of consumption by sequence mining. Therefore advance the emerging, different, unexpected, added/perished and repetition, to have the best reference of supply chain relationships management, which links the vendors of supply chain, through the analysis of sales in different regions.
author2 Li-chen,Cheng
author_facet Li-chen,Cheng
CHENG,KAO
高誠
author CHENG,KAO
高誠
spellingShingle CHENG,KAO
高誠
Application of data mining techniques in the analysis of the supply chain vendors
author_sort CHENG,KAO
title Application of data mining techniques in the analysis of the supply chain vendors
title_short Application of data mining techniques in the analysis of the supply chain vendors
title_full Application of data mining techniques in the analysis of the supply chain vendors
title_fullStr Application of data mining techniques in the analysis of the supply chain vendors
title_full_unstemmed Application of data mining techniques in the analysis of the supply chain vendors
title_sort application of data mining techniques in the analysis of the supply chain vendors
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/464aud
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