A simultaneous container assignment and ship scheduling optimisation model in container shipping

IF 3.3 Q2 TRANSPORTATION Asian Journal of Shipping and Logistics Pub Date : 2021-09-01 DOI:10.1016/j.ajsl.2021.05.002
Christine Natalia, Michael Holine, Agustinus Silalahi
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引用次数: 2

Abstract

Maritime transportation is preferred over other transportation forms for trade and has seen a significant increase worldwide. One of the problems that often occur in maritime transportation is the high cost because vessels' availability and capacity will always be the same while the demand tends to increase and erratic for each period. A mathematical model was developed in this study to determine the optimal value of container cargo and shipping frequency simultaneously to minimise the shipping cost for each voyage. To solve the container cargo optimisation problem, we presented an integer linear program, while for the scheduling, we used the greedy algorithm. Microsoft Excel Solver and LINDO software were used to solve the problem in this study. We provided computational calculations to simulate our mathematical model. The results show that the developed model produces feasible solutions for all scenarios due to the objective function and the constraints. Overall, our scheduling results can reduce the shipping frequency. The optimal solution value of container cargo and the scheduling results for each scenario are different because the total number of transported containers for each scenario is different.

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集装箱运输中集装箱分配与船舶调度同步优化模型
海运在贸易中比其他运输方式更受欢迎,并且在世界范围内显著增加。海上运输中经常出现的一个问题是成本高,因为船舶的可用性和容量总是相同的,而需求往往在每个时期都在增加和不稳定。本研究建立数学模型,同时确定集装箱货物和运输频率的最优值,以使每次航行的运输成本最小化。为了解决集装箱货物的优化问题,我们提出了一个整数线性规划,而对于调度问题,我们使用了贪心算法。本研究采用Microsoft Excel Solver和LINDO软件进行求解。我们提供了计算机计算来模拟我们的数学模型。结果表明,由于目标函数和约束条件的存在,所建立的模型在所有情况下都能产生可行解。总的来说,我们的调度结果可以减少运输频率。由于每种场景的总运输集装箱数不同,因此每种场景下的集装箱货物最优解值和调度结果不同。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
7.80
自引率
6.50%
发文量
23
审稿时长
92 days
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