Location selection by fuzzy analytic network process - A case study of high-technology manufacturing firms

碩士 === 國立臺灣科技大學 === 工業管理系 === 101 === High-tech industry has great potentials in national economy and plays an important role in global manufacturing operations. However, firms have to deal with high risk potential such as limitation of human resources, powerful competitors, and high ratio of natura...

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Main Author: Ngoc-Bao-Tran Vo
Other Authors: Kung-Jeng Wang
Format: Others
Language:en_US
Published: 2013
Online Access:http://ndltd.ncl.edu.tw/handle/69203506377836683850
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spelling ndltd-TW-101NTUS50410162015-10-13T22:06:54Z http://ndltd.ncl.edu.tw/handle/69203506377836683850 Location selection by fuzzy analytic network process - A case study of high-technology manufacturing firms 區位選擇模糊網絡分析模式 – 以科技製造產業為例 Ngoc-Bao-Tran Vo Ngoc-Bao-Tran Vo 碩士 國立臺灣科技大學 工業管理系 101 High-tech industry has great potentials in national economy and plays an important role in global manufacturing operations. However, firms have to deal with high risk potential such as limitation of human resources, powerful competitors, and high ratio of natural disasters. An alternative solution to overcome these issues is to seek a new location to expand firm manufacturing operation. This study presents an application of Fuzzy Analytic Network Process (FANP) to determine prospective manufacturing location, by using Taiwan hi-tech in China region as the research subject. Further, we conduct questionnaire survey to 16 firms, while FANP and sensitivity analyses are differentiated for two groups (small-medium and large firms). Following these processes we find that both groups are most concerned with cost factors but when small-medium firms rank different locations, they tend to prefer matured locations such as Pearl River delta and Yangtze River delta, while large firms prefer Central-Western China which is still growing and open for development. Kung-Jeng Wang 王孔政 2013 學位論文 ; thesis 80 en_US
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description 碩士 === 國立臺灣科技大學 === 工業管理系 === 101 === High-tech industry has great potentials in national economy and plays an important role in global manufacturing operations. However, firms have to deal with high risk potential such as limitation of human resources, powerful competitors, and high ratio of natural disasters. An alternative solution to overcome these issues is to seek a new location to expand firm manufacturing operation. This study presents an application of Fuzzy Analytic Network Process (FANP) to determine prospective manufacturing location, by using Taiwan hi-tech in China region as the research subject. Further, we conduct questionnaire survey to 16 firms, while FANP and sensitivity analyses are differentiated for two groups (small-medium and large firms). Following these processes we find that both groups are most concerned with cost factors but when small-medium firms rank different locations, they tend to prefer matured locations such as Pearl River delta and Yangtze River delta, while large firms prefer Central-Western China which is still growing and open for development.
author2 Kung-Jeng Wang
author_facet Kung-Jeng Wang
Ngoc-Bao-Tran Vo
Ngoc-Bao-Tran Vo
author Ngoc-Bao-Tran Vo
Ngoc-Bao-Tran Vo
spellingShingle Ngoc-Bao-Tran Vo
Ngoc-Bao-Tran Vo
Location selection by fuzzy analytic network process - A case study of high-technology manufacturing firms
author_sort Ngoc-Bao-Tran Vo
title Location selection by fuzzy analytic network process - A case study of high-technology manufacturing firms
title_short Location selection by fuzzy analytic network process - A case study of high-technology manufacturing firms
title_full Location selection by fuzzy analytic network process - A case study of high-technology manufacturing firms
title_fullStr Location selection by fuzzy analytic network process - A case study of high-technology manufacturing firms
title_full_unstemmed Location selection by fuzzy analytic network process - A case study of high-technology manufacturing firms
title_sort location selection by fuzzy analytic network process - a case study of high-technology manufacturing firms
publishDate 2013
url http://ndltd.ncl.edu.tw/handle/69203506377836683850
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