{"id":8971,"identifier":"FK2/T8ZKCA","persistentUrl":"https://doi.org/10.34820/FK2/T8ZKCA","protocol":"doi","authority":"10.34820","publisher":"Telkom University Dataverse","publicationDate":"2022-07-14","storageIdentifier":"file://10.34820/FK2/T8ZKCA","datasetVersion":{"id":518,"datasetId":8971,"datasetPersistentId":"doi:10.34820/FK2/T8ZKCA","storageIdentifier":"file://10.34820/FK2/T8ZKCA","versionNumber":1,"versionMinorNumber":0,"versionState":"RELEASED","lastUpdateTime":"2022-07-14T12:23:36Z","releaseTime":"2022-07-14T12:23:36Z","createTime":"2022-07-14T12:23:16Z","license":"CC0","termsOfUse":"CC0 Waiver","fileAccessRequest":false,"metadataBlocks":{"citation":{"displayName":"Citation Metadata","fields":[{"typeName":"title","multiple":false,"typeClass":"primitive","value":"Truck Scheduling Model in the Cross-docking Terminal by using Multi-agent System and Shortest Remaining Time Algorithm"},{"typeName":"author","multiple":true,"typeClass":"compound","value":[{"authorName":{"typeName":"authorName","multiple":false,"typeClass":"primitive","value":"Purba Daru Kusuma"},"authorAffiliation":{"typeName":"authorAffiliation","multiple":false,"typeClass":"primitive","value":"Telkom University"}}]},{"typeName":"datasetContact","multiple":true,"typeClass":"compound","value":[{"datasetContactName":{"typeName":"datasetContactName","multiple":false,"typeClass":"primitive","value":"DARU KUSUMA, PURBA"},"datasetContactAffiliation":{"typeName":"datasetContactAffiliation","multiple":false,"typeClass":"primitive","value":"fakultas teknik elektro - rekayasa komputer"},"datasetContactEmail":{"typeName":"datasetContactEmail","multiple":false,"typeClass":"primitive","value":"purbodaru@telkomuniversity.ac.id"}}]},{"typeName":"dsDescription","multiple":true,"typeClass":"compound","value":[{"dsDescriptionValue":{"typeName":"dsDescriptionValue","multiple":false,"typeClass":"primitive","value":"In this work, we propose new truck scheduling model in a cross-docking terminal with limited temporary storage constraint. This model is developed by using multi-agent system. The main contribution of this work is proposing the multi-agent based truck scheduling model with limited temporary storage capacity constraint and temporary truck changeover permit."},"dsDescriptionDate":{"typeName":"dsDescriptionDate","multiple":false,"typeClass":"primitive","value":"2021-08-01"}}]},{"typeName":"subject","multiple":true,"typeClass":"controlledVocabulary","value":["Computer and Information Science"]},{"typeName":"publication","multiple":true,"typeClass":"compound","value":[{"publicationCitation":{"typeName":"publicationCitation","multiple":false,"typeClass":"primitive","value":"P. D. Kusuma, \"Truck Scheduling Model in the Cross-docking Terminal by using Multi-agent System and Shortest Remaining Time Algorithm\", International Journal of Advanced Computer Science and Applications, 12(7), 134-142, 2021"}}]},{"typeName":"depositor","multiple":false,"typeClass":"primitive","value":"DARU KUSUMA, PURBA"},{"typeName":"dateOfDeposit","multiple":false,"typeClass":"primitive","value":"2022-07-14"}]}},"files":[{"label":"Paper_15-Truck_Scheduling_Model_in_the_Cross_docking_Terminal.pdf","restricted":false,"version":1,"datasetVersionId":518,"dataFile":{"id":8972,"persistentId":"doi:10.34820/FK2/T8ZKCA/KY0W9E","pidURL":"https://doi.org/10.34820/FK2/T8ZKCA/KY0W9E","filename":"Paper_15-Truck_Scheduling_Model_in_the_Cross_docking_Terminal.pdf","contentType":"application/pdf","filesize":450713,"storageIdentifier":"file://181fca99318-85a0e95de6a5","rootDataFileId":-1,"md5":"2e31b4f7a5bad0a598fa7428cd6bda4d","checksum":{"type":"MD5","value":"2e31b4f7a5bad0a598fa7428cd6bda4d"},"creationDate":"2022-07-14"}}],"citation":"Purba Daru Kusuma, 2022, \"Truck Scheduling Model in the Cross-docking Terminal by using Multi-agent System and Shortest Remaining Time Algorithm\", https://doi.org/10.34820/FK2/T8ZKCA, Telkom University Dataverse, V1"}}