Journal of Transportation Systems Engineering and Information Technology ›› 2018, Vol. 18 ›› Issue (3): 195-201.

• Systems Engineering Theory and Methods • Previous Articles     Next Articles

Speed Optimization Considering Dispatch and Demurrage of the Tramp Shipping

YU Chao1, 2, WANG Zhi-hua1, GAO Peng1, 3   

  1. 1. School of Business, Jiangsu University of Technology, Changzhou 213001, Jiangsu, China; 2. School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China; 3. School of Management, Jiangsu University, Zhenjiang 212013, Jiangsu, China
  • Received:2017-12-18 Revised:2018-03-06 Online:2018-06-25 Published:2018-06-25

考虑速遣费和滞期费的不定期船航速优化研究

俞超*1, 2,王志华 1,高鹏 1, 3   

  1. 1. 江苏理工学院 商学院,江苏 常州 213001;2. 上海海事大学 经济管理学院,上海 201306; 3. 江苏大学 管理学院,江苏 镇江 212013
  • 作者简介:俞超(1982-),男,安徽芜湖人,讲师,博士生.
  • 基金资助:

    国家社会科学基金/ National Social Science Foundation Project(14BGL216);江苏省教育厅高校哲学社会科学项目/Philosophy and Social Sciences Project of Jiangsu Province Department of Education College(2016SJB630135);江苏理工学院社科基金/Social Science Foundation Project of Jiangsu Institute of Technology(KYY16507).

Abstract:

Port choice for the tramp shipping is significantly affected by the dispatch and demurrage in the shipping contract. The model of docking and speed optimization of tramp shipping is established under the condition of probability of default for speed optimization and port choice problem, and the influence of demurrage and dispatch on the profit of ship-owner is considered. The improved particle swarm optimization (PSO) algorithm, two stage PSO is used to solve the model. By the example analyzing, it is found that the two stage PSO is superior to the traditional PSO in terms of operation speed and result. Finally, it is found that sensitivity analysis of default rate, demurrage and handling efficiency show that the profit of shipping company would increase with the rise of default rate, demurrage and handling efficiency within a certain range.

Key words: waterway transportation, speed optimization, two stage PSO, tramp shipping, dispatch, demurrage

摘要:

航运合约中的速遣费和滞期费对不定期船港口选择有重要影响.针对不定期船舶航速优化和港口选择问题,建立货主存在违约概率情况下不定期船港口选择停靠和航速优化模型,并考虑滞期费和速遣费对船公司利润的影响,使用改进型粒子群算法——两阶段粒子群算法进行求解模型.通过算例分析,将改进型粒子群算法与传统粒子群算法对比,发现改进型粒子群算法无论在收敛速度还是计算结果方面都优于传统粒子群算法.最后通过灵敏度分析发现,船公司利润在一定范围内会随着违约率、滞期费和港口装卸效率的上升而上升.

关键词: 水路运输, 航速优化, 两阶段粒子群算法, 不定期船运输, 速遣费, 滞期费

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