LNG罐式集装箱陆海联运配箱量优化模型

孙佳庆, 唐丽敏, 王成武, 阎英美

大连海事大学学报 ›› 2014, Vol. 40 ›› Issue (1) : 113-116.

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PDF(545 KB)
大连海事大学学报 ›› 2014, Vol. 40 ›› Issue (1) : 113-116.

LNG罐式集装箱陆海联运配箱量优化模型

  • 孙佳庆1,唐丽敏1 ,王成武2,阎英美1
作者信息 +

Optimized model of configuration volume of LNG tank container in land-sea combined transport

  • SUN Jia-qing1 ,TANG Li-min 1,WANG Cheng-wu2,YAN Ying-mei1
Author information +
文章历史 +

摘要

以企业利润最大为目标,建立LNG罐式集装箱陆海联运配箱量优化模型.针对LNG不宜久存于罐式集装箱及罐式集装箱成本高、租金贵等特点,引入惩罚函数和决策变量,进一步优化罐式集装箱的运作效率和满足不同偏好决策者的需求.同时,基于LNG的安全储运,引入罐式集装箱安全储运时间约束.最后,借助LINGO优化软件,实例验证所建模型.结果表明,该模型可以很好地应用在LNG陆海联运罐式集装箱配置优化实践中.

Abstract

Based on the objective of maximizing the enterprise profit, this paper established optimized model of configuration volume of LNG tank container in land-sea combined transport. For the LNG not being long time stored in tank container and the high cost and the rent for container tank container, a punishing function and the decision-making factor were introduced to further optimize the operational efficiency of the tank container and meet the needs of different decision makers with different preferences. At the same time, the tank container security storage and transportation time were considered in the constraint conditions based on the safety of LNG storage and transportation. Finally, with the aid of the LINGO optimization software, this paper verifies the model with an example, and results show that the proposed model can be used in tank container configuration optimization of LNG land-sea combined transport in practice.

关键词

综合交通运输 / 液化天然气(LNG) / 罐式集装箱 / 配箱量 / 非线性优化

Key words

integrated transportation / liquefied natural gas(LNG) / tank container / configuration volume / nonlinear optimization

引用本文

导出引用
孙佳庆, 唐丽敏, 王成武, 阎英美. LNG罐式集装箱陆海联运配箱量优化模型[J]. 大连海事大学学报. 2014, 40(1): 113-116
SUN Jia-qing , TANG Li-min , WANG Cheng-wu, YAN Ying-mei. Optimized model of configuration volume of LNG tank container in land-sea combined transport[J]. Journal of Dalian Maritime University. 2014, 40(1): 113-116

参考文献

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基金

国家社会科学基金资助项目(13BGJ031);辽宁省教育厅高校科研项目(2009A814).

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