{"title":"Chassis repositioning at marine container terminals: The case of complete demand information","authors":"ManWo Ng","doi":"10.1016/j.martra.2021.100022","DOIUrl":null,"url":null,"abstract":"<div><p>The marine container chassis continues to plague the maritime industry in the U.S., with chassis dislocation being a major recurring problem. To prevent chassis dislocation and maintain fluidity of supply chains, chassis pool operators at container ports face the challenging and recurring task of repositioning chassis between the various chassis storage sites within the port complex. To complement prior work, in this paper, a model to support chassis repositioning is presented for the case when the probability distribution of chassis demand is known. A case study using empirical chassis usage data illustrates the model in a practical setting.</p></div>","PeriodicalId":100885,"journal":{"name":"Maritime Transport Research","volume":"2 ","pages":"Article 100022"},"PeriodicalIF":3.9000,"publicationDate":"2021-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.martra.2021.100022","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Maritime Transport Research","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666822X21000149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0
Abstract
The marine container chassis continues to plague the maritime industry in the U.S., with chassis dislocation being a major recurring problem. To prevent chassis dislocation and maintain fluidity of supply chains, chassis pool operators at container ports face the challenging and recurring task of repositioning chassis between the various chassis storage sites within the port complex. To complement prior work, in this paper, a model to support chassis repositioning is presented for the case when the probability distribution of chassis demand is known. A case study using empirical chassis usage data illustrates the model in a practical setting.