考虑到欧盟的石油制裁,船队部署面临新的挑战

IF 1 4区 数学 Q1 MATHEMATICS
Yiwei Wu, Yao Lu, Shuaian Wang, Lu Zhen
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引用次数: 0

摘要

由于欧盟(EU)的石油制裁,油轮运输公司需要在考虑油轮船旗国的情况下,通过在航线之间移动油轮来重新部署油轮,但文献中缺乏对此问题的定量方法。为了填补这一研究空白,本文研究了考虑油轮船旗国的船队部署、船队重新定位、往返完成和航速优化的综合问题。将该问题表述为一个非线性整数规划模型,在满足各航次原油运输总需求和最小运输频次的前提下,使规划期内的总成本(包括船队重新定位成本、错配成本和燃油成本)最小。采用线性化方法将非线性模型转化为可直接用Gurobi求解的线性模型。17个计算实例的平均求解时间为4.5分钟,验证了模型的有效性。通过敏感性分析,包括单位燃料价格、原油运输总需求、部署油轮完成一次往返的错配成本以及每艘部署油轮的重新定位成本对作业决策的影响,以获得管理见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
New challenges in fleet deployment considering EU oil sanctions
Due to European Union (EU) oil sanctions, tanker shipping companies need to redeploy their tankers by moving tankers between ship routes with the consideration of flag states of tankers, but the literature lacks quantitative methods for this problem. To fill this research gap, this paper studies an integrated problem of fleet deployment, fleet repositioning, round trip completion, and speed optimization with the consideration of flag states of tankers. The problem is formulated as a nonlinear integer programming model to minimize the total cost, including the fleet repositioning cost, the mismatch cost, and the fuel cost, during the planning period while satisfying the total crude oil transportation demand of each voyage and the minimum shipping frequency. Some linearization methods are used to transform the nonlinear model to a linear one which can be directly solved by Gurobi. The average solving time required for 17 computational instances is 4.5 minutes, which validates the effectiveness of the proposed model. Sensitivity analyses, including the influences of the unit fuel price, the total crude oil transportation demand, the mismatch cost of completing a round trip by a deployed tanker, and the repositioning cost for each deployed tanker, on operations decisions, are conducted to obtain managerial insights.
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来源期刊
CiteScore
1.30
自引率
12.50%
发文量
170
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