Evaluation on the operational performance for the transportation and warehousing companies
碩士 === 國立高雄第一科技大學 === 運輸倉儲營運所 === 92 === Development of Taiwan’s logistics was started later then the developed countries, such as, Hong Kong, Japan and Singapore, but it is gradually in the trend of developing recent years. In addition to the newly-established logistics, former transportation compa...
Main Authors: | , |
---|---|
Other Authors: | |
Format: | Others |
Language: | zh-TW |
Published: |
2004
|
Online Access: | http://ndltd.ncl.edu.tw/handle/33314096253018482766 |
id |
ndltd-TW-092NKIT5678010 |
---|---|
record_format |
oai_dc |
spelling |
ndltd-TW-092NKIT56780102015-10-13T13:24:20Z http://ndltd.ncl.edu.tw/handle/33314096253018482766 Evaluation on the operational performance for the transportation and warehousing companies 運輸倉儲業經營績效之評估 Yu-san Lin 林玉珊 碩士 國立高雄第一科技大學 運輸倉儲營運所 92 Development of Taiwan’s logistics was started later then the developed countries, such as, Hong Kong, Japan and Singapore, but it is gradually in the trend of developing recent years. In addition to the newly-established logistics, former transportation companies are gradually transforming into full-scale logistics operations, including warehousing and picking-related businesses. Due to this reason, it is worthwhile discussing whether companies starting logistics business fully make use of their resources. DEA (Data envelopment analysis) is adopted in this research to analyze the operational performance of transportation and warehousing related companies and discuss the difference of different style companies’ efficiency. CCR, BCC, A&P and simple cross efficiency model are adopted to carry out efficiency analysis of the data of fourteen local transportation and warehousing companies from 1998 to 2002. Through efficiency analysis, we know inefficiency is due to improper operation of return to scale or improper use of resources. Then, slack variable analysis is adopted to improve the input resources. Finally, sensitive analysis is used to find out how the change of sets of input influences efficiency. The input that has greatest influence is found out to help companies acquire the advantage of enhancing efficiency. The research results show that through various model analysis, Tait and Wan Hai transportation and warehousing companies rank top among fourteen companies in terms of operation performance. Land transportation and warehousing companies comprise a large percentage of inefficiency companies. Because of too much input of “number of employees,” this kind of companies lack in overall efficiency. In general, “operation cost” is the input that has greatest influence on company efficiency. Therefore a proper control of operation cost will help the enhancement of efficiency. Keywords: Data Envelopment Analysis (DEA), logistics operation. Wei-ming Wu 吳偉銘 2004 學位論文 ; thesis 73 zh-TW |
collection |
NDLTD |
language |
zh-TW |
format |
Others
|
sources |
NDLTD |
description |
碩士 === 國立高雄第一科技大學 === 運輸倉儲營運所 === 92 === Development of Taiwan’s logistics was started later then the developed countries, such as, Hong Kong, Japan and Singapore, but it is gradually in the trend of developing recent years. In addition to the newly-established logistics, former transportation companies are gradually transforming into full-scale logistics operations, including warehousing and picking-related businesses. Due to this reason, it is worthwhile discussing whether companies starting logistics business fully make use of their resources. DEA (Data envelopment analysis) is adopted in this research to analyze the operational performance of transportation and warehousing related companies and discuss the difference of different style companies’ efficiency. CCR, BCC, A&P and simple cross efficiency model are adopted to carry out efficiency analysis of the data of fourteen local transportation and warehousing companies from 1998 to 2002.
Through efficiency analysis, we know inefficiency is due to improper operation of return to scale or improper use of resources. Then, slack variable analysis is adopted to improve the input resources. Finally, sensitive analysis is used to find out how the change of sets of input influences efficiency. The input that has greatest influence is found out to help companies acquire the advantage of enhancing efficiency. The research results show that through various model analysis, Tait and Wan Hai transportation and warehousing companies rank top among fourteen companies in terms of operation performance. Land transportation and warehousing companies comprise a large percentage of inefficiency companies. Because of too much input of “number of employees,” this kind of companies lack in overall efficiency. In general, “operation cost” is the input that has greatest influence on company efficiency. Therefore a proper control of operation cost will help the enhancement of efficiency.
Keywords: Data Envelopment Analysis (DEA), logistics operation.
|
author2 |
Wei-ming Wu |
author_facet |
Wei-ming Wu Yu-san Lin 林玉珊 |
author |
Yu-san Lin 林玉珊 |
spellingShingle |
Yu-san Lin 林玉珊 Evaluation on the operational performance for the transportation and warehousing companies |
author_sort |
Yu-san Lin |
title |
Evaluation on the operational performance for the transportation and warehousing companies |
title_short |
Evaluation on the operational performance for the transportation and warehousing companies |
title_full |
Evaluation on the operational performance for the transportation and warehousing companies |
title_fullStr |
Evaluation on the operational performance for the transportation and warehousing companies |
title_full_unstemmed |
Evaluation on the operational performance for the transportation and warehousing companies |
title_sort |
evaluation on the operational performance for the transportation and warehousing companies |
publishDate |
2004 |
url |
http://ndltd.ncl.edu.tw/handle/33314096253018482766 |
work_keys_str_mv |
AT yusanlin evaluationontheoperationalperformanceforthetransportationandwarehousingcompanies AT línyùshān evaluationontheoperationalperformanceforthetransportationandwarehousingcompanies AT yusanlin yùnshūcāngchǔyèjīngyíngjīxiàozhīpínggū AT línyùshān yùnshūcāngchǔyèjīngyíngjīxiàozhīpínggū |
_version_ |
1717734414976286720 |