{"title":"堆场起重机与堆场汽车装车调度的集成仿真与优化","authors":"Pengliang Cao, G. Jiang, Seokin Huang, Lingqi Ma","doi":"10.1504/ijstl.2020.10026408","DOIUrl":null,"url":null,"abstract":"To further decrease turnaround time of container vessels, synchronous scheduling of yard crane (YC) and yard truck (YT) with the impact of quay crane (QC) is mainly considered. On this basis, the interference between YCs, YT pool strategy and other practical constraints, are also taken into consideration. Firstly, this problem formulated as a mixed integer programming model to minimise the makespan of loading operation. Due to the computational intractability, the multi-layers genetic algorithm is introduced to solve the problem with a simulation model, then an improved algorithm and an algorithm accelerating strategy are also designed to further improve the optimising efficiency. Finally, two sets of experiments with over 300 tests are conducted by eight elastic compute services on Alibaba Cloud to validate necessity of considering the impact of QC and the solution quality and effectiveness of the proposed methods.","PeriodicalId":45963,"journal":{"name":"International Journal of Shipping and Transport Logistics","volume":" ","pages":""},"PeriodicalIF":1.4000,"publicationDate":"2020-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Integrated Simulation and Optimization of Scheduling Yard Crane and Yard Truck in Loading Operation\",\"authors\":\"Pengliang Cao, G. Jiang, Seokin Huang, Lingqi Ma\",\"doi\":\"10.1504/ijstl.2020.10026408\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"To further decrease turnaround time of container vessels, synchronous scheduling of yard crane (YC) and yard truck (YT) with the impact of quay crane (QC) is mainly considered. On this basis, the interference between YCs, YT pool strategy and other practical constraints, are also taken into consideration. Firstly, this problem formulated as a mixed integer programming model to minimise the makespan of loading operation. Due to the computational intractability, the multi-layers genetic algorithm is introduced to solve the problem with a simulation model, then an improved algorithm and an algorithm accelerating strategy are also designed to further improve the optimising efficiency. Finally, two sets of experiments with over 300 tests are conducted by eight elastic compute services on Alibaba Cloud to validate necessity of considering the impact of QC and the solution quality and effectiveness of the proposed methods.\",\"PeriodicalId\":45963,\"journal\":{\"name\":\"International Journal of Shipping and Transport Logistics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":1.4000,\"publicationDate\":\"2020-04-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Shipping and Transport Logistics\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1504/ijstl.2020.10026408\",\"RegionNum\":4,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"MANAGEMENT\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Shipping and Transport Logistics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1504/ijstl.2020.10026408","RegionNum":4,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
Integrated Simulation and Optimization of Scheduling Yard Crane and Yard Truck in Loading Operation
To further decrease turnaround time of container vessels, synchronous scheduling of yard crane (YC) and yard truck (YT) with the impact of quay crane (QC) is mainly considered. On this basis, the interference between YCs, YT pool strategy and other practical constraints, are also taken into consideration. Firstly, this problem formulated as a mixed integer programming model to minimise the makespan of loading operation. Due to the computational intractability, the multi-layers genetic algorithm is introduced to solve the problem with a simulation model, then an improved algorithm and an algorithm accelerating strategy are also designed to further improve the optimising efficiency. Finally, two sets of experiments with over 300 tests are conducted by eight elastic compute services on Alibaba Cloud to validate necessity of considering the impact of QC and the solution quality and effectiveness of the proposed methods.