<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd"><identifier identifierType="DOI">10.34820/FK2/APKG5I</identifier><creators><creator><creatorName>Purba Daru Kusuma</creatorName><affiliation>Telkom University</affiliation></creator></creators><titles><title>Multi-objective batch scheduling in collaborative multi-product flow shop system by using non-dominated sorting genetic algorithm</title></titles><publisher>Telkom University Dataverse</publisher><publicationYear>2022</publicationYear><subjects><subject>Computer and Information Science</subject></subjects><contributors><contributor contributorType="ContactPerson"><contributorName nameType="Organizational">DARU KUSUMA, PURBA</contributorName><affiliation>fakultas teknik elektro - rekayasa komputer</affiliation></contributor></contributors><dates><date dateType="Submitted">2022-07-14</date><date dateType="Updated">2022-07-14</date></dates><resourceType resourceTypeGeneral="Dataset"/><sizes><size>559902</size></sizes><formats><format>application/pdf</format></formats><version>1.0</version><rightsList><rights rightsURI="info:eu-repo/semantics/openAccess"/><rights rightsURI="https://creativecommons.org/publicdomain/zero/1.0/">CC0 Waiver</rights></rightsList><descriptions><description descriptionType="Abstract">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</description></descriptions><geoLocations/></resource>