Resource Allocation for Lines of Shipping Company with Two-stage Centralized Data Envelopment Analysis

• Main Authors: Ho, Yu-Ting, 何毓婷
• Other Authors: Chen, Mu-Chen
• Format: Others
• Language: zh-TW
• Published: 2015
• Online Access: http://ndltd.ncl.edu.tw/handle/3puyh2

碩士 === 國立交通大學 === 運輸與物流管理學系 === 103 === With regard to liner shipping, each of the shipping costs, human resources and the vessels are belonged to their management resources. In the recent year, shipping companies which join in Strategic Alliance can help to decrease their operating costs. In the produce process, many products are produced. The products are included the desirable outputs and undesirable output. Desirable outputs are intended for producers want or need output. Undesirable outputs are not favored by producers. International Maritime Organization (IMO) had the research in 2009, which studied about the carbon emissions of the industries in the world. The shipping industry was accounted for 3.3% of the carbon emissions in the world. While conventional Data Envelopment Analysis models set targets separately for each DMU, in this study we consider that there is a centralized decision maker who owns or supervises all the operating units. In this study, we combine the Network Data Envelopment Analysis and Centralized Data Envelopment Analysis to develop the Two-stage Centralized Data Envelopment Analysis. We use this model to evaluate the Lines of Shipping Company for resource allocation of a given resource. Resource allocation is an important issue in the management of corporations. It refers to the process of allocating limited resources to different parts of an organization in order to satisfy the overall goals. In the model it is assumed that lines of shipping company produce two types of outputs: desirable outputs (i.e. revenue, TEU- kilometer) and undesirable outputs (i.e. carbon emissions of shipping lines).We divide the model to two stage.The first stage’s inputs are included the salaries, containers reposition, slots capacities, fuel costs, stevedoring expenses and other costs.The first stages’ output are included ship calls and capacity-kilometers. These measures are the outputs from the first stage and are used as inputs to the second stage. The second stage’s outputs are included revenues, TEU- kilometers and the carbon emissions of shipping lines. This research is to adopt the data of 2013 fourth quarter in Asia line services from one of Taiwan’s marine carriers as the object of study. From the results of this study, the model can decrease the undesirable output (i.e. carbon emissions of shipping lines) effectively and increase the desirable outputs (i.e. revenue, TEU- kilometer). It can help shipping company to how to allocate the limited resources to get more revenue.