Evaluation of the Logistics Efficiency of World Major Nations with DEA
碩士 === 國立高雄第一科技大學 === 運籌管理所 === 96 === The logistics expenditure is one of the important factors to measure the logistics efficiency. Previous research was mainly on some single indexes such as the ratio between national logistics expenditures and the GDP, while neglecting other factors such as the...
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ndltd-TW-096NKIT56820492019-05-15T19:28:29Z http://ndltd.ncl.edu.tw/handle/x7vp42 Evaluation of the Logistics Efficiency of World Major Nations with DEA 以資料包絡法評估全球主要國家之物流效率 Hsiu-hung Lin 林修弘 碩士 國立高雄第一科技大學 運籌管理所 96 The logistics expenditure is one of the important factors to measure the logistics efficiency. Previous research was mainly on some single indexes such as the ratio between national logistics expenditures and the GDP, while neglecting other factors such as the geography or the infrastructure of a country for a comprehensive evaluation. This research is to develop an effective and objective model to evaluate the logistics performance through data envelopment analysis (DEA). We consider 12 national variables as input and 3 national variables as output to the DEA model to compare and evaluate the logistics efficiency of 21 major nations. Three different DEA models, which are the CCR, BCC and simple cross-efficiency models are adopted to produce multiple efficiency values for operational performance comparison. Furthermore, these nations are classified into three groups by the multiple efficiency values. Finally, of the 15 variables included in the DEA models, three variables, the geographic size, the geographic location and the GDP, are proposed to experiment their significance on the logistics operational performances. Kune-muh Tsai 蔡坤穆 2008 學位論文 ; thesis 86 zh-TW |
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碩士 === 國立高雄第一科技大學 === 運籌管理所 === 96 === The logistics expenditure is one of the important factors to measure the logistics efficiency. Previous research was mainly on some single indexes such as the ratio between national logistics expenditures and the GDP, while neglecting other factors such as the geography or the infrastructure of a country for a comprehensive evaluation. This research is to develop an effective and objective model to evaluate the logistics performance through data envelopment analysis (DEA). We consider 12 national variables as input and 3 national variables as output to the DEA model to compare and evaluate the logistics efficiency of 21 major nations. Three different DEA models, which are the CCR, BCC and simple cross-efficiency models are adopted to produce multiple efficiency values for operational performance comparison. Furthermore, these nations are classified into three groups by the multiple efficiency values. Finally, of the 15 variables included in the DEA models, three variables, the geographic size, the geographic location and the GDP, are proposed to experiment their significance on the logistics operational performances.
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author2 |
Kune-muh Tsai |
author_facet |
Kune-muh Tsai Hsiu-hung Lin 林修弘 |
author |
Hsiu-hung Lin 林修弘 |
spellingShingle |
Hsiu-hung Lin 林修弘 Evaluation of the Logistics Efficiency of World Major Nations with DEA |
author_sort |
Hsiu-hung Lin |
title |
Evaluation of the Logistics Efficiency of World Major Nations with DEA |
title_short |
Evaluation of the Logistics Efficiency of World Major Nations with DEA |
title_full |
Evaluation of the Logistics Efficiency of World Major Nations with DEA |
title_fullStr |
Evaluation of the Logistics Efficiency of World Major Nations with DEA |
title_full_unstemmed |
Evaluation of the Logistics Efficiency of World Major Nations with DEA |
title_sort |
evaluation of the logistics efficiency of world major nations with dea |
publishDate |
2008 |
url |
http://ndltd.ncl.edu.tw/handle/x7vp42 |
work_keys_str_mv |
AT hsiuhunglin evaluationofthelogisticsefficiencyofworldmajornationswithdea AT línxiūhóng evaluationofthelogisticsefficiencyofworldmajornationswithdea AT hsiuhunglin yǐzīliàobāoluòfǎpínggūquánqiúzhǔyàoguójiāzhīwùliúxiàolǜ AT línxiūhóng yǐzīliàobāoluòfǎpínggūquánqiúzhǔyàoguójiāzhīwùliúxiàolǜ |
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1719090033709809664 |