Veaceslav Ghilas , Ivo Hedtke , Joachim Weise , Tom Van Woensel
{"title":"Spot market versus full charter fleet: Decision support for full truck load tenders","authors":"Veaceslav Ghilas , Ivo Hedtke , Joachim Weise , Tom Van Woensel","doi":"10.1016/j.ejdp.2022.100022","DOIUrl":null,"url":null,"abstract":"<div><p>Given the dynamics of today’s markets, decision support based on advanced analytics is required to help market players keep their top position. This paper presents an approach to help business decision-makers gain market share by providing competitive tender offers for Full Truck Load (FTL) services. In particular, we compare operating a fleet of full charter trucks (FCT), using Spot-Market (SM) capacity and a mixture of both options against each other. A Pickup and Delivery Problem is modeled, and solved using an Adaptive Large Neighborhood Search heuristic. Computational results indicate strong service benefits combining FCT and SM usage. Numerical experiments are presented in detail to support the findings. Additionally, a real-life case study originating from DB Schenker is presented.</p></div>","PeriodicalId":44104,"journal":{"name":"EURO Journal on Decision Processes","volume":"10 ","pages":"Article 100022"},"PeriodicalIF":2.3000,"publicationDate":"2022-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2193943822000115/pdfft?md5=c8dc38ccf490b559d0f90dfcc0be54cb&pid=1-s2.0-S2193943822000115-main.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EURO Journal on Decision Processes","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2193943822000115","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
Given the dynamics of today’s markets, decision support based on advanced analytics is required to help market players keep their top position. This paper presents an approach to help business decision-makers gain market share by providing competitive tender offers for Full Truck Load (FTL) services. In particular, we compare operating a fleet of full charter trucks (FCT), using Spot-Market (SM) capacity and a mixture of both options against each other. A Pickup and Delivery Problem is modeled, and solved using an Adaptive Large Neighborhood Search heuristic. Computational results indicate strong service benefits combining FCT and SM usage. Numerical experiments are presented in detail to support the findings. Additionally, a real-life case study originating from DB Schenker is presented.
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