{"title":"考虑通用和专用服务模式的战略泊位分配定价与公平性问题","authors":"Liming Guo , Jianfeng Zheng , Jian Du","doi":"10.1016/j.tre.2025.104477","DOIUrl":null,"url":null,"abstract":"<div><div>Port operators can enhance their competitiveness by strategically adjusting service charges to attract more vessels from neighboring ports. In terms of service equity and profitability of the port, a novel vessel-oriented and port-oriented strategic berth allocation problem (SBAP) is proposed to determine the service fee charged to each liner carrier and the accepted number of arriving vessels in a port. In addition, two service modes in the port are introduced: the general service where incoming vessels from liner carriers share general berths and queue for service, and the dedicated service where selected berths are reserved for a specific liner carrier, exclusively serving its vessels. By modeling vessels and berths as customers and servers, we formulate the SBAP as a queueing system with different queueing structures corresponding to each service mode. To maximize port profits while ensuring service equity among liner carriers, a bi-objective mixed integer programming (BMIP) model based on queueing theory is formulated by determining the proper pricing, queueing structure and the quantity of dedicated berths reserved for individual liner carrier. To efficiently solve the BMIP model and obtain the Pareto frontier, we design a solution approach combining the ε-constraint method with a non-dominated sorting strategy. Numerical experiments demonstrate the effectiveness of the proposed model and solution method.</div></div>","PeriodicalId":49418,"journal":{"name":"Transportation Research Part E-Logistics and Transportation Review","volume":"205 ","pages":"Article 104477"},"PeriodicalIF":8.8000,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Pricing and equity in strategic berth allocation problem considering general and dedicated service modes\",\"authors\":\"Liming Guo , Jianfeng Zheng , Jian Du\",\"doi\":\"10.1016/j.tre.2025.104477\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Port operators can enhance their competitiveness by strategically adjusting service charges to attract more vessels from neighboring ports. In terms of service equity and profitability of the port, a novel vessel-oriented and port-oriented strategic berth allocation problem (SBAP) is proposed to determine the service fee charged to each liner carrier and the accepted number of arriving vessels in a port. In addition, two service modes in the port are introduced: the general service where incoming vessels from liner carriers share general berths and queue for service, and the dedicated service where selected berths are reserved for a specific liner carrier, exclusively serving its vessels. By modeling vessels and berths as customers and servers, we formulate the SBAP as a queueing system with different queueing structures corresponding to each service mode. To maximize port profits while ensuring service equity among liner carriers, a bi-objective mixed integer programming (BMIP) model based on queueing theory is formulated by determining the proper pricing, queueing structure and the quantity of dedicated berths reserved for individual liner carrier. To efficiently solve the BMIP model and obtain the Pareto frontier, we design a solution approach combining the ε-constraint method with a non-dominated sorting strategy. Numerical experiments demonstrate the effectiveness of the proposed model and solution method.</div></div>\",\"PeriodicalId\":49418,\"journal\":{\"name\":\"Transportation Research Part E-Logistics and Transportation Review\",\"volume\":\"205 \",\"pages\":\"Article 104477\"},\"PeriodicalIF\":8.8000,\"publicationDate\":\"2025-10-09\",\"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/S1366554525005186\",\"RegionNum\":1,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportation Research Part E-Logistics and Transportation Review","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1366554525005186","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ECONOMICS","Score":null,"Total":0}
Pricing and equity in strategic berth allocation problem considering general and dedicated service modes
Port operators can enhance their competitiveness by strategically adjusting service charges to attract more vessels from neighboring ports. In terms of service equity and profitability of the port, a novel vessel-oriented and port-oriented strategic berth allocation problem (SBAP) is proposed to determine the service fee charged to each liner carrier and the accepted number of arriving vessels in a port. In addition, two service modes in the port are introduced: the general service where incoming vessels from liner carriers share general berths and queue for service, and the dedicated service where selected berths are reserved for a specific liner carrier, exclusively serving its vessels. By modeling vessels and berths as customers and servers, we formulate the SBAP as a queueing system with different queueing structures corresponding to each service mode. To maximize port profits while ensuring service equity among liner carriers, a bi-objective mixed integer programming (BMIP) model based on queueing theory is formulated by determining the proper pricing, queueing structure and the quantity of dedicated berths reserved for individual liner carrier. To efficiently solve the BMIP model and obtain the Pareto frontier, we design a solution approach combining the ε-constraint method with a non-dominated sorting strategy. Numerical experiments demonstrate the effectiveness of the proposed model and solution method.
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.