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|Title: ||Measuring Harbor Management, Stevedoring and Warehousing Performance of Taiwanese Container Ports Using the Multi-activity Network DEA Model|
|Authors: ||Ming-Miin Yu;Shaw Yu Li;Bo Hsiao;Shih-Hsun Hsu|
|Issue Date: ||2017-10-25T01:17:52Z
|Publisher: ||Journal of International Logistics and Trade|
|Abstract: ||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 function.The 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.
Measuring Harbor Management, Stevedoring and Warehousing Performance of Taiwanese Container Ports Using the Multi-activity Network DEA Model. Available from: https://www.researchgate.net/publication/316210185_Measuring_Harbor_Management_Stevedoring_and_Warehousing_Performance_of_Taiwanese_Container_Ports_Using_the_Multi-activity_Network_DEA_Model [accessed Oct 25 2017].
|Relation: ||10(2) pp.77-115|
|Appears in Collections:||[運輸科學系] 期刊論文|
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