Measuring Harbor Management, Stevedoring and Warehousing Performance of Taiwanese Container Ports Using the Multi-activity Network DEA Model
This paper presents an alternative approach to evaluating the overall efficiency and performance of Taiwanese container ports. Specifically, a parallel activity with series structure concept in the form of data envelopment analysis (MNDEA) is used to construct a model that applies to three different...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Emerald Publishing
2012-08-01
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| Series: | Journal of International Logistics and Trade |
| Online Access: | https://www.emerald.com/insight/content/doi/10.24006/jilt.2012.10.2.77/full/pdf |
| _version_ | 1797612023528292352 |
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| author | Ming-Miin Yu Bo Hsiao Shih-Hsun Hsu Shaw Yu Li |
| author_facet | Ming-Miin Yu Bo Hsiao Shih-Hsun Hsu Shaw Yu Li |
| author_sort | Ming-Miin Yu |
| collection | DOAJ |
| description | This paper presents an alternative approach to evaluating the overall efficiency and performance of Taiwanese container ports. Specifically, a parallel activity with series structure concept in the form of data envelopment analysis (MNDEA) is used to construct a model that applies to three different activities: harbor management, stevedoring and warehousing operations. We will further divide each activity into two process types, production processes and services processes. We will also adopt a Delphi survey approach and use the Analytic Network Process (ANP) to identify these processes’influence dependence and their degree of importance for the MNDEA model setting. An empirical application demonstrates the performance of Taiwanese container ports by using MNDEA with window analysis techniques via the directional distance functionThe results demonstrate that the application is effective in indicating and/or suggesting resource-adjustments, while considering which undesirable output levels and shared inputs were involved. The results also present directions for possible improvements in workplace efficiency. |
| first_indexed | 2024-03-11T06:35:49Z |
| format | Article |
| id | doaj.art-5e801d3edadf4462afc0bcb907b6b8a6 |
| institution | Directory Open Access Journal |
| issn | 1738-2122 2508-7592 |
| language | English |
| last_indexed | 2024-03-11T06:35:49Z |
| publishDate | 2012-08-01 |
| publisher | Emerald Publishing |
| record_format | Article |
| series | Journal of International Logistics and Trade |
| spelling | doaj.art-5e801d3edadf4462afc0bcb907b6b8a62023-11-17T10:53:49ZengEmerald PublishingJournal of International Logistics and Trade1738-21222508-75922012-08-011027711510.24006/jilt.2012.10.2.77Measuring Harbor Management, Stevedoring and Warehousing Performance of Taiwanese Container Ports Using the Multi-activity Network DEA ModelMing-Miin Yu0Bo Hsiao1Shih-Hsun Hsu2Shaw Yu Li31Department of Transportation Science National Taiwan Ocean University, Keelung, 20224, Taiwan2Department of Information Management Chang Jung Christian University, Tainan3Department of Agricultural Economics National Taiwan University, Taipei, 10617, Taiwan1Department of Transportation Science National Taiwan Ocean University, Keelung, 20224, TaiwanThis paper presents an alternative approach to evaluating the overall efficiency and performance of Taiwanese container ports. Specifically, a parallel activity with series structure concept in the form of data envelopment analysis (MNDEA) is used to construct a model that applies to three different activities: harbor management, stevedoring and warehousing operations. We will further divide each activity into two process types, production processes and services processes. We will also adopt a Delphi survey approach and use the Analytic Network Process (ANP) to identify these processes’influence dependence and their degree of importance for the MNDEA model setting. An empirical application demonstrates the performance of Taiwanese container ports by using MNDEA with window analysis techniques via the directional distance functionThe results demonstrate that the application is effective in indicating and/or suggesting resource-adjustments, while considering which undesirable output levels and shared inputs were involved. The results also present directions for possible improvements in workplace efficiency.https://www.emerald.com/insight/content/doi/10.24006/jilt.2012.10.2.77/full/pdf |
| spellingShingle | Ming-Miin Yu Bo Hsiao Shih-Hsun Hsu Shaw Yu Li Measuring Harbor Management, Stevedoring and Warehousing Performance of Taiwanese Container Ports Using the Multi-activity Network DEA Model Journal of International Logistics and Trade |
| title | Measuring Harbor Management, Stevedoring and Warehousing Performance of Taiwanese Container Ports Using the Multi-activity Network DEA Model |
| title_full | Measuring Harbor Management, Stevedoring and Warehousing Performance of Taiwanese Container Ports Using the Multi-activity Network DEA Model |
| title_fullStr | Measuring Harbor Management, Stevedoring and Warehousing Performance of Taiwanese Container Ports Using the Multi-activity Network DEA Model |
| title_full_unstemmed | Measuring Harbor Management, Stevedoring and Warehousing Performance of Taiwanese Container Ports Using the Multi-activity Network DEA Model |
| title_short | Measuring Harbor Management, Stevedoring and Warehousing Performance of Taiwanese Container Ports Using the Multi-activity Network DEA Model |
| title_sort | measuring harbor management stevedoring and warehousing performance of taiwanese container ports using the multi activity network dea model |
| url | https://www.emerald.com/insight/content/doi/10.24006/jilt.2012.10.2.77/full/pdf |
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