{"@context":"http://schema.org","@type":"Dataset","@id":"https://doi.org/10.34820/FK2/APKG5I","identifier":"https://doi.org/10.34820/FK2/APKG5I","name":"Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm","creator":[{"name":"Purba Daru Kusuma","affiliation":"Telkom University"}],"author":[{"name":"Purba Daru Kusuma","affiliation":"Telkom University"}],"datePublished":"2022-07-14","dateModified":"2022-07-14","version":"1","description":["This work aims to develop a novel batch scheduling model for a collaborative multi-product flow shop system. Its objective is to minimize make-span and total production cost. This model is developed by using non-dominated sorting genetic algorithm (NSGA II) which is proven in many multi objective optimization models"],"keywords":["Computer and Information Science"],"citation":[{"@type":"CreativeWork","text":"Purba Daru Kusuma, \"Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm\", International Journal of Advanced Computer Science and Applications, 12(9), 349-357, 2021."}],"license":{"@type":"Dataset","text":"CC0","url":"https://creativecommons.org/publicdomain/zero/1.0/"},"includedInDataCatalog":{"@type":"DataCatalog","name":"Telkom University Dataverse","url":"https://dataverse.telkomuniversity.ac.id"},"publisher":{"@type":"Organization","name":"Telkom University Dataverse"},"provider":{"@type":"Organization","name":"Telkom University Dataverse"},"distribution":[{"@type":"DataDownload","name":"Paper_39-Multi_objective_Batch_Scheduling.pdf","fileFormat":"application/pdf","contentSize":559902,"@id":"https://doi.org/10.34820/FK2/APKG5I/OJTGR9","identifier":"https://doi.org/10.34820/FK2/APKG5I/OJTGR9","contentUrl":"https://dataverse.telkomuniversity.ac.id/api/access/datafile/8952"}]}