Resource Allocation for Heterogeneous Lines of Shipping Company with Data Envelopment Analysis

• Main Authors: Chang, Kai-Ting, 張凱婷
• Other Authors: Chen, Mu-Chen
• Format: Others
• Language: zh-TW
• Published: 2016
• Online Access: http://ndltd.ncl.edu.tw/handle/62572234798787425125

碩士 === 國立交通大學 === 運輸與物流管理學系 === 104 === Taiwan is surrounded by the sea and Taiwan’s economic growth mainly relies on international trade. Since the last decade, the total maritime transport accounts for more than 99% of the national total. International routes are all over the world. Liner shipping has fixed routes, fixed ports and schedule. The mode of transportation is usually closely associated with operational performance. In addition to increasing revenue and container loading rate, shipping companies in pursuit of maximum profits and sustainable development of enterprises, whose most important means is to reduce operating cost. Therefore, how to reduce costs and improve operational efficiency through internal resource allocation methods is a critical issue. Most of the studies on the operating performance of the shipping industry in the past focus on the discussion about the financial performance of the industry as a whole. As for the spindle, internal routes as object of analysis is seldom shown. Although there are some references analyzing the data through DEA (Data Envelopment Analysis) for shipping companies to operate internal routes performance analysis, few studies use DEA to allocate the heterogeneous route of shipping companies. In this study, Asian shipping routes of one shipping company in Taiwan would be the main research object. Centralized Data Envelopment Analysis is a central point of decision makers, assessing the overall decision-making unit in order to achieve the overall goal of the decision making units. The basic concept of Meta Frontier is to emphasize the heterogeneity of production technology with different decision making units (DMUs) to reflect region, type, scale and other inherent attributes. In this study, we combine the Centralized Data Envelopment Analysis and Meta Frontier to develop the CDEA-MF model. We use this model to evaluate the lines of shipping company for resource allocation of a given resource. The results show that the apparent changes of slottage may indirectly affect the airline revenue. Containers reposition resource efficiency has reached the border. To generate more revenue, the amount of other resources would have to be reduced. Shipping companies should allocate the whole route to invest resources from the perspective of the central-decision makers in order to generate more revenue routes.