{"title":"Optimization of Flatbed Loading in Picking Operations of IKEA Warehouse","authors":"Yuan Feng, Haijun Lu","doi":"10.1109/LISS.2018.8593244","DOIUrl":null,"url":null,"abstract":"As the core operation of the warehouse operation, the optimization of the picking operation can reduce warehouse management costs, improve order response time, and improve customer satisfaction. This paper proposes a loading optimization model for analyzing the loading capacity of flatbed trucks, which is an important delivery tool in IKEA’s warehouse delivery operations. It proposes a corresponding solution using an improved genetic algorithm and the actual data for verification and quantitative analysis. It proves that the model has the validity and practical value.","PeriodicalId":338998,"journal":{"name":"2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)","volume":"78 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 8th International Conference on Logistics, Informatics and Service Sciences (LISS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/LISS.2018.8593244","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
As the core operation of the warehouse operation, the optimization of the picking operation can reduce warehouse management costs, improve order response time, and improve customer satisfaction. This paper proposes a loading optimization model for analyzing the loading capacity of flatbed trucks, which is an important delivery tool in IKEA’s warehouse delivery operations. It proposes a corresponding solution using an improved genetic algorithm and the actual data for verification and quantitative analysis. It proves that the model has the validity and practical value.