The Factor Analysis of Raw Materials With The Date Mining Technique-A Case Study of C Company

碩士 === 國立高雄科技大學 === 資訊管理系 === 107 === The best way for the manufacturing factory to survive is to meet customer demands in order to maximize profits. The key point for being profitable is to balance quality and the cost of the product. The main purpose of the study is one heavy machinery company i...

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Main Authors: Chia-Chia Yu, 余家佳
Other Authors: Ho-Chuan Huang
Format: Others
Language:zh-TW
Published: 2019
Online Access:http://ndltd.ncl.edu.tw/handle/93etab
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spelling ndltd-TW-106NKUS03960042019-11-29T05:36:14Z http://ndltd.ncl.edu.tw/handle/93etab The Factor Analysis of Raw Materials With The Date Mining Technique-A Case Study of C Company 以資料探勘技術探討原材料之庫存改善因素-以C公司為例 Chia-Chia Yu 余家佳 碩士 國立高雄科技大學 資訊管理系 107 The best way for the manufacturing factory to survive is to meet customer demands in order to maximize profits. The key point for being profitable is to balance quality and the cost of the product. The main purpose of the study is one heavy machinery company in Taiwan. The purpose of this study is data mining and analyzing the raw material inventory status and finds out the factors of the long-term inventory and the factors which affect the inventory time. The subject is a case study based on the raw material inventory aging analysis table for 2018. The table also includes the order status and other information. After the ERP system data is reintegrated, cleaned, and converted, the stock time will be investigated by the Statistical method, Clustering, Apriori association rules, and Decision trees, etc. The results show the company in the case study manages their stock well. Only 4.4% of the stock is not managed well. The 4.4% stock needs to be investigated as the amount increases to 11.5% for annual material requisition. For the data of "more than half a year in the stock", there are two highly related rules, including "medium order amount, with project manager, in-process materials", "user department is B22, not in the stock in the current year, in-process materials". The result also indicates that "whether the stock is safety stock", "customer order type", "products selection P/N", "purchasing type", "material category" are important factors for stock time via decision tree analyzing in the case of "more than half a year in the stock" and "less than seven days in the stock". Hope the result of this study can be helpful for relevant management departments for reference to reduce the costs of the stocks. Ho-Chuan Huang 黃河銓 2019 學位論文 ; thesis 74 zh-TW
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description 碩士 === 國立高雄科技大學 === 資訊管理系 === 107 === The best way for the manufacturing factory to survive is to meet customer demands in order to maximize profits. The key point for being profitable is to balance quality and the cost of the product. The main purpose of the study is one heavy machinery company in Taiwan. The purpose of this study is data mining and analyzing the raw material inventory status and finds out the factors of the long-term inventory and the factors which affect the inventory time. The subject is a case study based on the raw material inventory aging analysis table for 2018. The table also includes the order status and other information. After the ERP system data is reintegrated, cleaned, and converted, the stock time will be investigated by the Statistical method, Clustering, Apriori association rules, and Decision trees, etc. The results show the company in the case study manages their stock well. Only 4.4% of the stock is not managed well. The 4.4% stock needs to be investigated as the amount increases to 11.5% for annual material requisition. For the data of "more than half a year in the stock", there are two highly related rules, including "medium order amount, with project manager, in-process materials", "user department is B22, not in the stock in the current year, in-process materials". The result also indicates that "whether the stock is safety stock", "customer order type", "products selection P/N", "purchasing type", "material category" are important factors for stock time via decision tree analyzing in the case of "more than half a year in the stock" and "less than seven days in the stock". Hope the result of this study can be helpful for relevant management departments for reference to reduce the costs of the stocks.
author2 Ho-Chuan Huang
author_facet Ho-Chuan Huang
Chia-Chia Yu
余家佳
author Chia-Chia Yu
余家佳
spellingShingle Chia-Chia Yu
余家佳
The Factor Analysis of Raw Materials With The Date Mining Technique-A Case Study of C Company
author_sort Chia-Chia Yu
title The Factor Analysis of Raw Materials With The Date Mining Technique-A Case Study of C Company
title_short The Factor Analysis of Raw Materials With The Date Mining Technique-A Case Study of C Company
title_full The Factor Analysis of Raw Materials With The Date Mining Technique-A Case Study of C Company
title_fullStr The Factor Analysis of Raw Materials With The Date Mining Technique-A Case Study of C Company
title_full_unstemmed The Factor Analysis of Raw Materials With The Date Mining Technique-A Case Study of C Company
title_sort factor analysis of raw materials with the date mining technique-a case study of c company
publishDate 2019
url http://ndltd.ncl.edu.tw/handle/93etab
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