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基于风险偏好-信息熵的集装箱装卸设备选择研究

A Research on the Selection of Container Handling Equipment Based on Risk Preferences-Information Entropy

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【作者】 王爱虎李丽兰郑斯斯

【Author】 WANG Ai-hu;LI Li-lan;ZHENG Si-si;School of Business Administration,South China University of Technology;

【机构】 华南理工大学工商管理学院

【摘要】 集装箱装卸设备选择对提高码头运营效率和通过能力具有重要意义。针对该问题,提出了基于风险偏好-信息熵的混合多属性决策模型(hybrid multiple attribute decision making model based on risk preference information entropy,HMADM-RPIE)。首先,基于文献研究和现场调研建立全面的评价指标体系。然后,根据决策者对属性的重视程度和属性对决策的作用度分别确定主观权重和客观权重。主观权重考虑决策者自身权重,客观权重引入决策者风险偏好。最后,运用TOPSIS方法对方案进行排序,并对风险偏好因子进行灵敏度分析。以高明港为例,验证了该模型的实用性和有效性。表明:基于建立的评价指标体系及高明港的发展现状,装卸设备的最优选择是轨道吊,为集装箱装卸设备选择提供了一个科学有效的新思路。

【Abstract】 The selection of container handling equipment is of great significance for improving operational efficiency and throughput capacity of container terminals. In this article,a Hybrid Multiple Attribute Decision Making Model Based on Risk Preference Information Entropy( HMADM-RPIE) is proposed for the HMADM problem. Firstly, a comprehensive evaluation index system of container handling equipment is established based on literature research and field investigation. Then,subjective weights and the objective weights are decided according to decision-makers’ emphasis on the attribute and the degree of attribute ’ s influence on the decision respectively. Subjective weights take account of the decision makers’ weights,and objective weights are concerned about decision-makers’ risk preference.Finally,the TOPSIS method is used to rank the handling equipment,and the sensitivity analysis of the risk preference factor is also carried out. The practicability and effectiveness of this model are confirmed by Gaoming Port’ s practice. Based on the evaluation index system established by the research and the current development status of Gaoming Port, it is concluded that the optimal choice of handling equipment is rail-mounted gantry crane, which provides a new idea for the scientific and effective selection of container handling equipment.

【基金】 国家自然科学基金重点项目(71731006);国家自然科学基金面上项目(71171084);教育部哲学社会科学研究重大课题攻关项目(17JZD020);广州市金融服务创新与风险管理研究基地项目(2016GZJFJD02);2017年华南理工大学智库项目
  • 【文献出处】 华南理工大学学报(社会科学版) ,Journal of South China University of Technology(Social Science Edition) , 编辑部邮箱 ,2018年05期
  • 【分类号】U693.2
  • 【被引频次】2
  • 【下载频次】164
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