Application of Decision Tree in Capacity Allocation for a Memory Card Back End Foundry

碩士 === 國立交通大學 === 管理學院工業工程與管理學程 === 99 === The customers in F memory card back end foundry in Taiwan can be divided into two types: regular customer and irregular customer. The characteristics of regular customer are as follows: long-term partner relationship, stable demands, and low foundry price....

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Main Author: 蔡瀞頤
Other Authors: 許錫美
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/67896132739962872541
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spelling ndltd-TW-099NCTU50311022015-10-13T20:37:26Z http://ndltd.ncl.edu.tw/handle/67896132739962872541 Application of Decision Tree in Capacity Allocation for a Memory Card Back End Foundry 決策樹於產能分配之應用-以記憶卡封裝測試代工廠為例 蔡瀞頤 碩士 國立交通大學 管理學院工業工程與管理學程 99 The customers in F memory card back end foundry in Taiwan can be divided into two types: regular customer and irregular customer. The characteristics of regular customer are as follows: long-term partner relationship, stable demands, and low foundry price. However, the foundry price for irregular customer is higher than it for regular customer. Generally the demand of Irregular customer varies radically and the contents in his order are frequently made changes. How to allocate capacity to these customers is an important issue. In this study we analyze the market trend and use decision tree to select a capacity allocation alternative among the given feasible alternatives to maximize the profit for F memory card back end foundry. 許錫美 2011 學位論文 ; thesis 26 zh-TW
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language zh-TW
format Others
sources NDLTD
description 碩士 === 國立交通大學 === 管理學院工業工程與管理學程 === 99 === The customers in F memory card back end foundry in Taiwan can be divided into two types: regular customer and irregular customer. The characteristics of regular customer are as follows: long-term partner relationship, stable demands, and low foundry price. However, the foundry price for irregular customer is higher than it for regular customer. Generally the demand of Irregular customer varies radically and the contents in his order are frequently made changes. How to allocate capacity to these customers is an important issue. In this study we analyze the market trend and use decision tree to select a capacity allocation alternative among the given feasible alternatives to maximize the profit for F memory card back end foundry.
author2 許錫美
author_facet 許錫美
蔡瀞頤
author 蔡瀞頤
spellingShingle 蔡瀞頤
Application of Decision Tree in Capacity Allocation for a Memory Card Back End Foundry
author_sort 蔡瀞頤
title Application of Decision Tree in Capacity Allocation for a Memory Card Back End Foundry
title_short Application of Decision Tree in Capacity Allocation for a Memory Card Back End Foundry
title_full Application of Decision Tree in Capacity Allocation for a Memory Card Back End Foundry
title_fullStr Application of Decision Tree in Capacity Allocation for a Memory Card Back End Foundry
title_full_unstemmed Application of Decision Tree in Capacity Allocation for a Memory Card Back End Foundry
title_sort application of decision tree in capacity allocation for a memory card back end foundry
publishDate 2011
url http://ndltd.ncl.edu.tw/handle/67896132739962872541
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