Article(id=1240655511562015317, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655508231746242, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-4653.2025.02.010, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1707840000000, receivedDateStr=2024-02-14, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1773724924221, onlineDateStr=2026-03-17, pubDate=1750780800000, pubDateStr=2025-06-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1773724924221, onlineIssueDateStr=2026-03-17, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1773724924221, creator=13701087609, updateTime=1773724924221, updator=13701087609, issue=Issue{id=1240655508231746242, tenantId=1146029695717560320, journalId=1240618002186551303, year='2025', volume='48', issue='2', pageStart='1', pageEnd='180', issueExtLink='null', onlineDate='null', pubDate='1750780800000', pubDateStr='2025-06-25', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1773724923427, creator='13701087609', updateTime=1773725151164, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1240656463488667953, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655508231746242, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1240656463492862258, tenantId=1146029695717560320, journalId=1240618002186551303, issueId=1240655508231746242, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=72, endPage=79, ext={EN=ArticleExt(id=1240655511775924829, articleId=1240655511562015317, tenantId=1146029695717560320, journalId=1240618002186551303, language=EN, title=Collaborative optimization of routing and stowage for commodity vehicle RoRo ships considering port inventory, columnId=1240655021705065434, journalTitle=Navigation of China, columnName=Port and Waterway Engineering, runingTitle=null, highlight=null, articleAbstract=

This paper studied the problem of distributing commodities for RoRo ships. Taking into account the initial inventory level at each demand port, the paper proposes a flexible calling strategy for RoRo ships transporting commodity vehicles within multiple voyage planning periods. A collaborative optimization model for routing and stowage was established for RoRo ships, and an improved genetic algorithm was designed to solve it. The results of the numerical example demonstrate that this flexible calling strategy can reduce the total distribution cost of RoRo ships by 1.9%. There is a difference of about 4% in fuel consumption between large and small RoRo ships for round-trip voyages on the same route. Shipping companies can also reduce total costs by arranging different types of RoRo ship for distribution. When the safety stock is set to a moderate level, the total cost during the planning period is minimized. These research conclusions can provide a useful reference for shipping companies when making decisions about the distribution of commodities with RoRo ships.

, authors=null, authorsList=Hualong YANG, Wenqi MIAO, Yilun SUN, Ming WEN, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1240655512010805860, articleId=1240655511562015317, tenantId=1146029695717560320, journalId=1240618002186551303, language=CN, title=考虑港口库存的商品车滚装船路径与配载协同优化, columnId=1240655021902197734, journalTitle=中国航海, columnName=水运工程, runingTitle=null, highlight=null, articleAbstract=

针对商品车滚装船配送问题，考虑航次各需求港期初库存水平，提出了商品车滚装船在多个航次计划期内灵活挂靠港口的航行策略，构建了滚装船路径与配载协同优化模型，并设计了改进遗传算法求解。算例结果表明：灵活挂靠港口的航行策略可以减少1.9%的滚装船配送总成本，在同一条航线上，大型与小型滚装船往返航次燃油消耗约有4%的差异。安排不同型号的滚装船配送亦可有效降低总成本；在安全库存设置为适度水平时，船公司计划期的总成本最低。研究结论可为船公司商品车滚装船配送决策提供有益参考。

, authors=, authorsList=杨华龙, 苗文琦, 孙奕伦, 文明, authorCompany=null, correspAuthors=null, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=bR6hgrsRszTamr7ugiBCxQ==, magXml=Lsti73cF0gLII7VLY+mprA==, pdfUrl=null, pdf=boqDIwQp0bdOiRYp+0dhEA==, pdfFileSize=1848196, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=O1ycm3mQJ6scdkfhfZZ4bw==, mapNumber=null, fund=null)}, authors=[Author(id=1240655512283435631, tenantId=1146029695717560320, journalId=1240618002186551303, articleId=1240655511562015317, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=hlyang@dlmu.edu.cn., emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1240655512358933106, tenantId=1146029695717560320, journalId=1240618002186551303, articleId=1240655511562015317, authorId=1240655512283435631, language=EN, stringName=Hualong YANG, firstName=Hualong, middleName=null, lastName=YANG, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=Transportation Engineering College, Dalian Maritime University, Dalian 116026, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1240655512455402100, tenantId=1146029695717560320, journalId=1240618002186551303, articleId=1240655511562015317, authorId=1240655512283435631, language=CN, stringName=杨华龙, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=null, address=大连海事大学 交通运输工程学院，辽宁 大连 116026, bio={"content":"

杨华龙（1964—），男，博士，教授，研究方向为海运物流与供应链管理，E-mail: hlyang@dlmu.edu.cn.

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杨华龙（1964—），男，博士，教授，研究方向为海运物流与供应链管理，E-mail: hlyang@dlmu.edu.cn.

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