{"title":"考虑空闲时间的多台自动化堆场起重机编组规划","authors":"Young-Man Pa","doi":"10.5394/KINPR.2017.41.3.149","DOIUrl":null,"url":null,"abstract":":Recently,containerterminaloperatorshavemadeeffortstodevelopanefficientremarshallingplaninresponsetotheincrease in automation of equipment handling and transport of containers in the terminals. Usually, containers are handled by multiple AYCs(automatedyardcranes)in-yardinanautomatedcontainerterminal,andterminaloperatorsestablisharemarshallingplanusingslack timetoincreasetheefficiencyofshipoperation.Thisstudydevelopstheoptimalmathematicalmodelthroughmixedintegerprogramming asasolutiontotheproblemofdispatchingmultipleAYCs.Consideringthedifficultyofdirectapplicationtothefieldduetocomputation time,weanalyzethefiveprototypicaldispatchingrulesforrealworldadaptation.Anumericalexperimentfoundthatthemaximumweight ratio(MR)ruleandthemaximumweight(MW)rulearetheidealdispatchingsolutionstothemultipleAYCsdispatchingproblem.","PeriodicalId":16242,"journal":{"name":"Journal of Korean navigation and port research","volume":"2 1 1","pages":"149-154"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Remarshalling Planning for Multiple Automated Yard Cranes Considering Slack Time\",\"authors\":\"Young-Man Pa\",\"doi\":\"10.5394/KINPR.2017.41.3.149\",\"DOIUrl\":null,\"url\":null,\"abstract\":\":Recently,containerterminaloperatorshavemadeeffortstodevelopanefficientremarshallingplaninresponsetotheincrease in automation of equipment handling and transport of containers in the terminals. Usually, containers are handled by multiple AYCs(automatedyardcranes)in-yardinanautomatedcontainerterminal,andterminaloperatorsestablisharemarshallingplanusingslack timetoincreasetheefficiencyofshipoperation.Thisstudydevelopstheoptimalmathematicalmodelthroughmixedintegerprogramming asasolutiontotheproblemofdispatchingmultipleAYCs.Consideringthedifficultyofdirectapplicationtothefieldduetocomputation time,weanalyzethefiveprototypicaldispatchingrulesforrealworldadaptation.Anumericalexperimentfoundthatthemaximumweight ratio(MR)ruleandthemaximumweight(MW)rulearetheidealdispatchingsolutionstothemultipleAYCsdispatchingproblem.\",\"PeriodicalId\":16242,\"journal\":{\"name\":\"Journal of Korean navigation and port research\",\"volume\":\"2 1 1\",\"pages\":\"149-154\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Korean navigation and port research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5394/KINPR.2017.41.3.149\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Korean navigation and port research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5394/KINPR.2017.41.3.149","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Remarshalling Planning for Multiple Automated Yard Cranes Considering Slack Time
:Recently,containerterminaloperatorshavemadeeffortstodevelopanefficientremarshallingplaninresponsetotheincrease in automation of equipment handling and transport of containers in the terminals. Usually, containers are handled by multiple AYCs(automatedyardcranes)in-yardinanautomatedcontainerterminal,andterminaloperatorsestablisharemarshallingplanusingslack timetoincreasetheefficiencyofshipoperation.Thisstudydevelopstheoptimalmathematicalmodelthroughmixedintegerprogramming asasolutiontotheproblemofdispatchingmultipleAYCs.Consideringthedifficultyofdirectapplicationtothefieldduetocomputation time,weanalyzethefiveprototypicaldispatchingrulesforrealworldadaptation.Anumericalexperimentfoundthatthemaximumweight ratio(MR)ruleandthemaximumweight(MW)rulearetheidealdispatchingsolutionstothemultipleAYCsdispatchingproblem.
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