基于DEA模型的广深铁路货运站整合优化
Freight Station Integration and Optimization of Guangshen Railway Based on DEA Model

DOI: 10.12677/OJTT.2014.35019, PP. 130-138

Keywords: 广深铁路，货运站，数据包络法(DEA)，资源整合
Guangshen Railway, Freight Station, Data Envelopment Analysis (DEA), Resources Integration

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Abstract:

针对广深铁路货运资源整合问题，应用DEA模型进行分析并提出解决方案。首先分析了广深铁路货运站的现状，指出其存在布局不合理、运输效率低等问题。然后以效率提升为切入点，采用DEA分析技术对广深铁路货运站进行整合优化的实证研究，提出各货运站整合优化的解决建议，从而提高广深铁路的市场竞争力。
As to Guangzhou-Shenzhen Railway freight resource integration, Data Envelopment Analysis (DEA) model is applied to analyze and propose solutions. The paper analyzes the status of the Guang-zhou-Shenzhen railway freight stations, and points out the existing problems such as unreasonable layout and low transportation efficiency. It also empirically researches the integration and op-timization of Guangshen railway freight station using DEA, taking the efficiency improvement as the breakthrough point. In the end, it puts forward the solutions for Guangshen railway freight station integration and optimization to improve its market competitiveness.

References

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