{"title":"Automated Truck Scheduling Utilizing an AI Expert System: An Innovative Solution for Digital Freight Forwarders and Carriers","authors":"L. E. Velázquez, S. Chankov","doi":"10.1109/IEEM50564.2021.9672605","DOIUrl":null,"url":null,"abstract":"Digital freight forwarders have streamlined their operations with instant quoting and automated order offerings for carriers. Nevertheless, automatic bundling and assigning shipping orders to a carrier has not been studied yet. Thus, the purpose of this paper is to investigate the prerequisites and implications of an AI expert system for automated truck scheduling. Using the Design Science Research Guideline, the concept is illustrated and evaluated based on seven expert interviews. Results show that it is a technologically and economically feasible tool to automate order selection and assignment to trucks. Important benefits for carriers, digital freight forwarders, and shippers are identified.","PeriodicalId":6818,"journal":{"name":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"30 4 1","pages":"228-232"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM50564.2021.9672605","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Digital freight forwarders have streamlined their operations with instant quoting and automated order offerings for carriers. Nevertheless, automatic bundling and assigning shipping orders to a carrier has not been studied yet. Thus, the purpose of this paper is to investigate the prerequisites and implications of an AI expert system for automated truck scheduling. Using the Design Science Research Guideline, the concept is illustrated and evaluated based on seven expert interviews. Results show that it is a technologically and economically feasible tool to automate order selection and assignment to trucks. Important benefits for carriers, digital freight forwarders, and shippers are identified.
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