Foresight and Decision Model for Taiwanese IC Manufacturers in Setting Up IC Foundry Factories in China
碩士 === 國立交通大學 === 管理學院科技管理學程 === 106 === Taiwan is the global wafer foundry industry leader, although the top two foundry industry accounted for nearly 70% of the global output value, but the wafer foundry industry is also the focus of the Chinese mainland government development projects, continue t...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2017
|
Online Access: | http://ndltd.ncl.edu.tw/handle/34k3w7 |
id |
ndltd-TW-106NCTU5230006 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-106NCTU52300062019-05-16T00:22:50Z http://ndltd.ncl.edu.tw/handle/34k3w7 Foresight and Decision Model for Taiwanese IC Manufacturers in Setting Up IC Foundry Factories in China 台灣晶圓代工業者至中國大陸設廠之前瞻與決策模型 Ni, Chi-Hsuan 倪啓軒 碩士 國立交通大學 管理學院科技管理學程 106 Taiwan is the global wafer foundry industry leader, although the top two foundry industry accounted for nearly 70% of the global output value, but the wafer foundry industry is also the focus of the Chinese mainland government development projects, continue to invest funds to help the Chinese mainland company engaged in R & D and expansion. So the short term, including TSMC, UMC and PSMC are actively investing in the mainland to set up factories. This study is expected to be summarized to help the foundry to prepare China to set up factories in the assessment strategy model. The aim is to [develop a decision model for the development of the Chinese mainland for the foundry industry] to assist Taiwanese manufacturers to take full account of all the influencing factors when setting up factories, select the regional and action policy that best suits the company and shorten the learning curve , In order to maintain the leading position and international competitiveness. In this study, AHP and DANP analysis were used to select the model. The first stage identified three criteria dimensions and nine factors through two rounds of expert interviews and discussions. The second stage design questionnaire, for the three foundry survey, first through the AHP level analysis of the relevant consistency indicators to get the criteria of the importance. Secondly, the DANP method is used to obtain the cause-effect report and importance ranking report among the criterion factors. The third stage of the group discussion, the analysis of the report to be a comprehensive conclusion. Through the AHP hierarchy analysis, this study has been the most important factor in the three criteria dimensions. The "Industrial Law", "Cluster Effect" and "Water Supply" are the key factors for the foundry selection at the mainland site. Through the DANP method, this study has obtained the most important influencing factors in the selection of the mainland site selection of the foundry industry among the nine criteria factors, followed by the "Industrial Law" and "the cluster effect". Showing that these three factors are the most important influencing factors. Through the analysis of the importance of the DANP method, the criteria factor are the "water supply" and "cluster effect". The wafer industry attaches great importance to the supply chain and the supply of water and electricity to meet the demand, the foundry can be actively promoted by the government and modify the industry laws and regulations, making the "cluster effect" and "water supply" to meet the needs of manufacturers. Summed up the experts concluded that by virtue of Taiwan's foundry competitive advantage, as long as the mainland government can get the full support of the site selection assessment can be a matter of course. Hung, Chih-Young 洪志洋 2017 學位論文 ; thesis 59 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立交通大學 === 管理學院科技管理學程 === 106 === Taiwan is the global wafer foundry industry leader, although the top two foundry industry accounted for nearly 70% of the global output value, but the wafer foundry industry is also the focus of the Chinese mainland government development projects, continue to invest funds to help the Chinese mainland company engaged in R & D and expansion. So the short term, including TSMC, UMC and PSMC are actively investing in the mainland to set up factories. This study is expected to be summarized to help the foundry to prepare China to set up factories in the assessment strategy model. The aim is to [develop a decision model for the development of the Chinese mainland for the foundry industry] to assist Taiwanese manufacturers to take full account of all the influencing factors when setting up factories, select the regional and action policy that best suits the company and shorten the learning curve , In order to maintain the leading position and international competitiveness.
In this study, AHP and DANP analysis were used to select the model. The first stage identified three criteria dimensions and nine factors through two rounds of expert interviews and discussions. The second stage design questionnaire, for the three foundry survey, first through the AHP level analysis of the relevant consistency indicators to get the criteria of the importance. Secondly, the DANP method is used to obtain the cause-effect report and importance ranking report among the criterion factors. The third stage of the group discussion, the analysis of the report to be a comprehensive conclusion.
Through the AHP hierarchy analysis, this study has been the most important factor in the three criteria dimensions. The "Industrial Law", "Cluster Effect" and "Water Supply" are the key factors for the foundry selection at the mainland site. Through the DANP method, this study has obtained the most important influencing factors in the selection of the mainland site selection of the foundry industry among the nine criteria factors, followed by the "Industrial Law" and "the cluster effect". Showing that these three factors are the most important influencing factors. Through the analysis of the importance of the DANP method, the criteria factor are the "water supply" and "cluster effect". The wafer industry attaches great importance to the supply chain and the supply of water and electricity to meet the demand, the foundry can be actively promoted by the government and modify the industry laws and regulations, making the "cluster effect" and "water supply" to meet the needs of manufacturers. Summed up the experts concluded that by virtue of Taiwan's foundry competitive advantage, as long as the mainland government can get the full support of the site selection assessment can be a matter of course.
|
author2 |
Hung, Chih-Young |
author_facet |
Hung, Chih-Young Ni, Chi-Hsuan 倪啓軒 |
author |
Ni, Chi-Hsuan 倪啓軒 |
spellingShingle |
Ni, Chi-Hsuan 倪啓軒 Foresight and Decision Model for Taiwanese IC Manufacturers in Setting Up IC Foundry Factories in China |
author_sort |
Ni, Chi-Hsuan |
title |
Foresight and Decision Model for Taiwanese IC Manufacturers in Setting Up IC Foundry Factories in China |
title_short |
Foresight and Decision Model for Taiwanese IC Manufacturers in Setting Up IC Foundry Factories in China |
title_full |
Foresight and Decision Model for Taiwanese IC Manufacturers in Setting Up IC Foundry Factories in China |
title_fullStr |
Foresight and Decision Model for Taiwanese IC Manufacturers in Setting Up IC Foundry Factories in China |
title_full_unstemmed |
Foresight and Decision Model for Taiwanese IC Manufacturers in Setting Up IC Foundry Factories in China |
title_sort |
foresight and decision model for taiwanese ic manufacturers in setting up ic foundry factories in china |
publishDate |
2017 |
url |
http://ndltd.ncl.edu.tw/handle/34k3w7 |
work_keys_str_mv |
AT nichihsuan foresightanddecisionmodelfortaiwaneseicmanufacturersinsettingupicfoundryfactoriesinchina AT níqǐxuān foresightanddecisionmodelfortaiwaneseicmanufacturersinsettingupicfoundryfactoriesinchina AT nichihsuan táiwānjīngyuándàigōngyèzhězhìzhōngguódàlùshèchǎngzhīqiánzhānyǔjuécèmóxíng AT níqǐxuān táiwānjīngyuándàigōngyèzhězhìzhōngguódàlùshèchǎngzhīqiánzhānyǔjuécèmóxíng |
_version_ |
1719164210028478464 |