{"id":"https://openalex.org/W2911491960","doi":"https://doi.org/10.1109/bigdata.2018.8622412","title":"Data-driven Digital Twin approach for process optimization: an industry use case","display_name":"Data-driven Digital Twin approach for process optimization: an industry use case","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2911491960","doi":"https://doi.org/10.1109/bigdata.2018.8622412","mag":"2911491960"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata.2018.8622412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082959906","display_name":"Nenad Stojanovi\u0107","orcid":"https://orcid.org/0000-0001-9328-5348"},"institutions":[{"id":"https://openalex.org/I4210136901","display_name":"Nissatech Innovation Centre (Serbia)","ror":"https://ror.org/04a007b13","country_code":"RS","type":"company","lineage":["https://openalex.org/I4210136901"]}],"countries":["RS"],"is_corresponding":true,"raw_author_name":"Nenad Stojanovic","raw_affiliation_strings":["Nissatech Nis, Serbia"],"affiliations":[{"raw_affiliation_string":"Nissatech Nis, Serbia","institution_ids":["https://openalex.org/I4210136901"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081057706","display_name":"Dejan Milenovic","orcid":null},"institutions":[{"id":"https://openalex.org/I59105498","display_name":"Swisscom (Switzerland)","ror":"https://ror.org/04t1f4f50","country_code":"CH","type":"company","lineage":["https://openalex.org/I59105498"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Dejan Milenovic","raw_affiliation_strings":["Netico Swiss"],"affiliations":[{"raw_affiliation_string":"Netico Swiss","institution_ids":["https://openalex.org/I59105498"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5082959906"],"corresponding_institution_ids":["https://openalex.org/I4210136901"],"apc_list":null,"apc_paid":null,"fwci":2.9566,"has_fulltext":false,"cited_by_count":60,"citation_normalized_percentile":{"value":0.92557711,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4202","last_page":"4211"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11741","display_name":"Flexible and Reconfigurable Manufacturing Systems","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9715999960899353,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.800326943397522},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.7670469880104065},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.6618596911430359},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6443969011306763},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5957275629043579},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.5154346227645874},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.47090721130371094},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.41987141966819763},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3210359811782837},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.22276222705841064},{"id":"https://openalex.org/keywords/software-engineering","display_name":"Software engineering","score":0.13941550254821777},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.11683827638626099}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.800326943397522},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.7670469880104065},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.6618596911430359},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6443969011306763},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5957275629043579},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.5154346227645874},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.47090721130371094},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.41987141966819763},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3210359811782837},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.22276222705841064},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.13941550254821777},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.11683827638626099},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata.2018.8622412","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata.2018.8622412","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE International Conference on Big Data (Big Data)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":4,"referenced_works":["https://openalex.org/W1599623585","https://openalex.org/W2006971615","https://openalex.org/W2200272797","https://openalex.org/W6635953567"],"related_works":["https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W4233347783","https://openalex.org/W2910064364","https://openalex.org/W4255224757","https://openalex.org/W3023919550"],"abstract_inverted_index":{"In":[0,143],"this":[1,147],"paper":[2],"we":[3,31,149,172],"present":[4,229],"a":[5,40,76,118,151],"novel":[6,119],"approach":[7],"for":[8,39,121],"the":[9,14,27,45,51,63,79,87,95,133,136,140,174,198,212,230,233],"process":[10,29,80,122,141],"improvement":[11],"based":[12],"on":[13,26],"data-driven":[15,59],"modelling.":[16],"The":[17],"idea":[18,148],"is":[19,35],"that":[20,48,67,124],"by":[21,179],"performing":[22],"Big":[23],"data":[24,30,127],"analytics":[25,96,128],"past":[28],"can":[32,61,72,209],"model":[33,49],"what":[34,71],"(statistically":[36],"analyzed)":[37],"usual/normal":[38],"selected":[41],"period":[42],"and":[43,91,106,135,167,222],"check":[44],"variations":[46],"from":[47,232],"in":[50,78,111,225],"real-time":[52],"(as":[53,81],"Six":[54],"Sigma":[55],"requires).":[56,83],"Additionally,":[57],"these":[58],"models":[60],"support":[62],"root-":[64],"cause":[65],"analysis":[66],"should":[68],"provide":[69],"insights":[70],"be":[73,98],"eliminated":[74],"as":[75],"waste":[77],"Lean":[82],"However,":[84],"due":[85],"to":[86,130,145,162,197,237],"above":[88],"mentioned":[89],"variety":[90],"volume":[92],"of":[93,139,154,176,191,201,214],"data,":[94],"must":[97],"a)":[99],"robust":[100],"-":[101,109],"dealing":[102],"with":[103,132],"differences":[104],"efficiently":[105],"b)":[107],"scalable":[108],"realized":[110],"an":[112,215],"extremely":[113],"parallel":[114],"way.":[115],"We":[116,228],"propose":[117],"method":[120],"control":[123],"uses":[125],"big":[126],"approaches":[129],"deal":[131],"multidimensionality":[134],"large":[137],"size":[138],"space.":[142],"order":[144],"realize":[146],"develop":[150],"new":[152,199],"concept":[153,175],"self-":[155],"aware":[156],"digital":[157,177,202],"twins":[158,178],"which":[159,208],"are":[160],"able":[161],"reason":[163],"about":[164,211],"own":[165],"behaviour":[166,213],"react":[168],"if":[169],"needed.":[170],"Indeed,":[171],"revolutionize":[173],"extending":[180],"their":[181],"\"virtual":[182],"replica\"":[183],"(of":[184],"physical":[185,192],"objects)":[186],"nature":[187],"into":[188],"\"digital":[189],"self-awareness\"":[190],"objects":[193],"(assets,":[194],"systems),":[195],"leading":[196],"generation":[200],"twins,":[203],"so":[204],"called":[205],"self-aware":[206],"DTs,":[207],"\"reasons\"":[210],"object":[216],"(and":[217],"not":[218],"only":[219],"mimic":[220],"it)":[221],"actively":[223],"participate":[224],"its":[226],"improvement.":[227],"outcomes":[231],"case":[234],"study":[235],"related":[236],"3D":[238],"laser":[239],"cutting":[240],"process.":[241]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":13},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":1}],"updated_date":"2026-02-27T16:54:17.756197","created_date":"2025-10-10T00:00:00"}
