Managing fuel price variability for ship operations through contracts using fuzzy TOPSIS
Managing fuel price variability for ship operations through contracts using fuzzy TOPSIS
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DOI：
10.1016/j.rtbm.2021.100778
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发表时间：
2022-06-07
影响因子：
4.8
通讯作者：
Lagoudis, Ioannis N.
中科院分区：
文献类型：
--
作者：
Chrysafis, Konstantinos A.;Theotokas, Ioannis N.;Lagoudis, Ioannis N.
船舶加油成本是船舶总运营成本的重要组成部分。寻求通过调整市场提供的工具或开发自己的工具来积极管理这一成本的航运公司数量不断增加。现有文献迄今已接近加油成本优化，通过各种技术，其中许多是消费优化，合同选择和港口选择。目前的工作重点是船舶燃料运营成本管理的问题，旨在开发工具和技术，选择最佳的加油合同。模糊方法，提出了解决的变化来自加油市场。特别是，模糊TOPSIS（技术的顺序偏好的相似性理想的解决方案）的方法是适当的供应商选择过程。这种方法导致航运公司的最佳加油合同。在模糊TOPSIS方法中，准则方法与公司的政策相一致，考虑到公司内外部环境造成的财务和管理约束。本文的研究有助于航运公司通过优化船舶运营成本来管理供应商选择中的财务风险。模糊方法通过定性和定量分析所用的准则，为成本优化提供了可靠的方法。在这里使用的散装航运和一套10个主要标准的选择最佳的掩体合同的燃料专家的汇总配置文件，并通过案例研究实施。
Bunkering cost is a significant contributor to the total operating cost of ships. The number of shipping companies seeking to actively manage this cost either by adapting market offered tools or by developing their own tools keeps increasing. Existing literature has so far approached bunkering cost optimization through various techniques among the many being consumption optimization, contract selection and port selection. The present work focuses on the problem of managing fuel operating cost for ships aiming at developing tools and techniques for the selection of optimal bunkering contracts. Fuzzy methods are proposed to tackle the variability stemming from the bunkering market. Particularly, Fuzzy TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method is employed as appropriate for the supplier selection process. This method leads to optimal bunkering contracts for the shipping company. In fuzzy TOPSIS method, the criteria method are aligned with the company's policy, taking into consideration financial and managerial constraints resulting from the company's internal and external environment. This research assists shipping companies to manage financial risk in supplier selection via optimizing the ship's operating costs. Fuzzy methods offer a reliable approach in cost optimization by analyzing the criteria used both qualitatively and quantitatively. The aggregated profiles of bunkering experts in bulk shipping and a set of ten major criteria for the selection of the optimum bunker contract are used here and implemented via a case study.