{"title":"A Real Time Scheduling Scheme For Food Delivery","authors":"Xiao-song Ding, Hu Liu, Xi Chen","doi":"10.1109/ICESIT53460.2021.9696540","DOIUrl":null,"url":null,"abstract":"In this paper, we propose a comprehensive indicator consisting of distance, time pressure, and order revenue as the order selection criterion to help drivers choose the right order for multi-period food delivery problem. We model the order selection as a sequential decision-making problem, where the decision of assigning an order to a driver is determined from the driver's perspective. Then the routing problem is solved using nearest neighbor algorithm. Finally, through extensive simulation experiments, the proposed approach delivers improvement on the driver's efficiency and total revenue.","PeriodicalId":164745,"journal":{"name":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-11-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Conference on Emergency Science and Information Technology (ICESIT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICESIT53460.2021.9696540","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
In this paper, we propose a comprehensive indicator consisting of distance, time pressure, and order revenue as the order selection criterion to help drivers choose the right order for multi-period food delivery problem. We model the order selection as a sequential decision-making problem, where the decision of assigning an order to a driver is determined from the driver's perspective. Then the routing problem is solved using nearest neighbor algorithm. Finally, through extensive simulation experiments, the proposed approach delivers improvement on the driver's efficiency and total revenue.