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航运管理研究综述
引用本文:包甜甜,连峰,杨忠振.航运管理研究综述[J].交通运输工程学报,2020,20(4):55-69.
作者姓名:包甜甜  连峰  杨忠振
作者单位:宁波大学 海运学院,浙江 宁波 315211
基金项目:浙江省自然科学基金;浙江省哲学社会科学规划课题;宁波大学科研项目;宁波市自然科学基金;国家自然科学基金
摘    要:为系统分析和总结航运管理的研究现状与发展趋势, 针对WOS数据库和CNKI数据库收录的628篇文献, 用知识图谱分析软件VOSviewer进行航运管理共词聚类分析, 得到航运管理的3个研究热点, 即航运市场分析、航运运营管理和绿色航运; 综述了航运管理研究的范围、对象与方法, 分析了航运管理未来的主要研究方向。研究结果表明: 目前主要采用时间序列模型分析航运市场, 围绕运价研究货运市场与船舶市场的供需关系; 航运运营管理的研究多集中在以成本最小化或利润最大化为目标建立数学优化模型, 并设计启发式算法求解战略、战术和运作3个层面上的决策问题; 绿色航运研究侧重于解决实际的减排问题, 对技术性措施、营运性措施和基于市场的措施进行成本效益、减排效果的比较和分析。未来有关航运管理的研究方向主要包括: 建立多目标、多阶段数学优化模型, 满足多元化的航运管理目标, 实现不同范围和级别航运管理的协同优化; 从海运供应链的角度拓展航运管理研究, 一体化考虑内陆运输和海上运输以及各利益相关者之间的复杂关系; 研究不确定条件下的航运管理问题; 基于人工智能算法和航运大数据, 设计更准确高效的市场分析方法和模型求解算法; 研究智能航运新业态下的航运管理问题。 

关 键 词:水上运输    航运管理    航运市场    运营管理    绿色航运    综述
收稿时间:2020-03-10

Research review of shipping management
BAO Tian-tian,LIAN Feng,YANG Zhong-zhen.Research review of shipping management[J].Journal of Traffic and Transportation Engineering,2020,20(4):55-69.
Authors:BAO Tian-tian  LIAN Feng  YANG Zhong-zhen
Affiliation:Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, Zhejiang, China
Abstract:In order to systematically analyze and summarize the research status and development trend of shipping management, the co-word cluster analysis of shipping management based on the 628 literatures from WOS Database and CNKI Database was carried out by knowledge map analysis software VOSviewer, and three research hotspots were obtained, including shipping market analysis, shipping operation management and green shipping. According to above three hotspots, the researching areas, objectives and methods of shipping management were summarized, and the main directions of future research were put forward. Research result shows that the time-series model is mainly adopted to analyze shipping market, and the relationship between the supply and demand of freight market and shipping market is studied mainly based on the freight rate. The research of shipping operation management mostly focuses on setting up optimal mathematical model with the objectives of minimizing cost or maximizing profit, and using the heuristic algorithms to deal with the problems at the strategic, tactical and operational decision-making levels.The current research of green shipping mainly solves the practical emission reduction problem, and compares and analyzes the cost-effectivenesses and emission reduction effects of technical measures, operational measures and market-based measures. The future main research directions of shipping management are as follows: the multi-objective and multi-stage mathematical optimization model should be established to meet the various goals of shipping management in order to achieve the collaborative optimization of shipping managements with different scopes and levels; the research of shipping management should be extended from the perspective of shipping supply, and it is necessary to integrally consider the complex relationships among inland transportation, maritime transportation and stakeholders; the issues of shipping management should be investigated under uncertain conditions; the market analysis methods and model solving algorithms with higher accuracy and efficiency should be designed based on the artificial intelligent algorithms and shipping big data; and the shipping management in the new format of intelligent shipping should be researched. 
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