Zhijia Tan , Liwei Du , Ming Wang , Hai Yang , Lingxiao Wu
{"title":"Fleet sizing with time and voyage-chartered vessels for an oil shipping company under demand uncertainty","authors":"Zhijia Tan , Liwei Du , Ming Wang , Hai Yang , Lingxiao Wu","doi":"10.1016/j.tre.2024.103801","DOIUrl":null,"url":null,"abstract":"<div><div>The fleet sizing problem is one of the main concerns for an industry shipping company under various uncertainty of market conditions. This paper addresses the problem in a single period with uncertain shipment demand for an oil shipping company, who transports the refined petroleum products among multiple origin–destination (OD) pairs. Besides the self-owned vessels, the time-chartered and voyage-chartered vessels are considered by the company as two types of rental vessels from the potential outsourcing market. The company aims to determine the numbers of vessels with different capacity levels and different rental types, deploy them among all OD pairs to minimize the total expected cost including the rent costs of time-chartered and voyage-chartered vessels and the holding cost of time-chartered vessels. Several stochastic programming models are proposed to investigate three scenarios: the aggregative shipment demand and an available fleet with continuously separable vessel capacity in the outsourcing market, the aggregative shipment demand and an available fleet with inseparable vessel capacity, and the OD shipment demand matrix and an available fleet with inseparable vessel capacity. Assuming economies of scale in rental duration, vessel capacity, and voyage distance, we conduct theoretical analysis to deduce the necessary conditions and solution properties for optimal resolutions to the fleet sizing problems. The real-world numerical examples based on China National Petroleum Corporation are adopted to illustrate the proposed models and theoretical results.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"192 ","pages":"Article 103801"},"PeriodicalIF":8.3000,"publicationDate":"2024-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1366554524003922","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
引用次数: 0
Abstract
The fleet sizing problem is one of the main concerns for an industry shipping company under various uncertainty of market conditions. This paper addresses the problem in a single period with uncertain shipment demand for an oil shipping company, who transports the refined petroleum products among multiple origin–destination (OD) pairs. Besides the self-owned vessels, the time-chartered and voyage-chartered vessels are considered by the company as two types of rental vessels from the potential outsourcing market. The company aims to determine the numbers of vessels with different capacity levels and different rental types, deploy them among all OD pairs to minimize the total expected cost including the rent costs of time-chartered and voyage-chartered vessels and the holding cost of time-chartered vessels. Several stochastic programming models are proposed to investigate three scenarios: the aggregative shipment demand and an available fleet with continuously separable vessel capacity in the outsourcing market, the aggregative shipment demand and an available fleet with inseparable vessel capacity, and the OD shipment demand matrix and an available fleet with inseparable vessel capacity. Assuming economies of scale in rental duration, vessel capacity, and voyage distance, we conduct theoretical analysis to deduce the necessary conditions and solution properties for optimal resolutions to the fleet sizing problems. The real-world numerical examples based on China National Petroleum Corporation are adopted to illustrate the proposed models and theoretical results.
在各种不确定的市场条件下,船队规模问题是行业航运公司关注的主要问题之一。本文探讨的是一家石油航运公司在单期不确定运输需求下的船队规模问题,该公司在多个始发地-目的地(OD)之间运输成品油。除了自备船只外,该公司还将定期租船和航次租船视为潜在外包市场中的两种租赁船只。该公司的目标是确定不同运力水平和不同租赁类型的船只数量,并在所有出发地和目的地之间进行调配,以最大限度地降低总预期成本,包括定期租船和航次租船的租金成本以及定期租船的持有成本。本文提出了几种随机编程模型来研究三种情况:外包市场中的总装运需求和具有连续可分离船舶运力的可用船队;总装运需求和具有不可分离船舶运力的可用船队;以及 OD 装运需求矩阵和具有不可分离船舶运力的可用船队。假定租期、船舶运力和航程具有规模经济性,我们通过理论分析推导出船队规模问题最优解的必要条件和求解性质。通过基于中国石油天然气集团公司的实际数值例子来说明所提出的模型和理论结果。
期刊介绍:
Transportation Research Part E: Logistics and Transportation Review is a reputable journal that publishes high-quality articles covering a wide range of topics in the field of logistics and transportation research. The journal welcomes submissions on various subjects, including transport economics, transport infrastructure and investment appraisal, evaluation of public policies related to transportation, empirical and analytical studies of logistics management practices and performance, logistics and operations models, and logistics and supply chain management.
Part E aims to provide informative and well-researched articles that contribute to the understanding and advancement of the field. The content of the journal is complementary to other prestigious journals in transportation research, such as Transportation Research Part A: Policy and Practice, Part B: Methodological, Part C: Emerging Technologies, Part D: Transport and Environment, and Part F: Traffic Psychology and Behaviour. Together, these journals form a comprehensive and cohesive reference for current research in transportation science.