{"id":"https://openalex.org/W3122379091","doi":"https://doi.org/10.1080/17477778.2021.1874844","title":"Modelling stochastic behaviour in simulation digital twins through neural nets","display_name":"Modelling stochastic behaviour in simulation digital twins through neural nets","publication_year":2021,"publication_date":"2021-01-26","ids":{"openalex":"https://openalex.org/W3122379091","doi":"https://doi.org/10.1080/17477778.2021.1874844","mag":"3122379091"},"language":"en","primary_location":{"id":"doi:10.1080/17477778.2021.1874844","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17477778.2021.1874844","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17477778.2021.1874844?needAccess=true","source":{"id":"https://openalex.org/S207180383","display_name":"Journal of Simulation","issn_l":"1747-7778","issn":["1747-7778","1747-7786","1774-7786"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Simulation","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/17477778.2021.1874844?needAccess=true","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036222627","display_name":"Sean Reed","orcid":"https://orcid.org/0000-0002-5698-6740"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Sean Reed","raw_affiliation_strings":["School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-5698-6740","affiliations":[{"raw_affiliation_string":"School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden","institution_ids":["https://openalex.org/I26437253"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046577593","display_name":"Magnus L\u00f6fstrand","orcid":"https://orcid.org/0000-0002-2014-1308"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":true,"raw_author_name":"Magnus L\u00f6fstrand","raw_affiliation_strings":["School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden"],"raw_orcid":"https://orcid.org/0000-0002-2014-1308","affiliations":[{"raw_affiliation_string":"School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden","institution_ids":["https://openalex.org/I26437253"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004278876","display_name":"John Andrews","orcid":"https://orcid.org/0000-0002-2316-3959"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Andrews","raw_affiliation_strings":["Department of Mechanical, Materials and Manufacturing Engineering, University Park, University of Nottingham, Nottingham, UK"],"raw_orcid":"https://orcid.org/0000-0002-2316-3959","affiliations":[{"raw_affiliation_string":"Department of Mechanical, Materials and Manufacturing Engineering, University Park, University of Nottingham, Nottingham, UK","institution_ids":["https://openalex.org/I142263535"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5046577593"],"corresponding_institution_ids":["https://openalex.org/I26437253"],"apc_list":null,"apc_paid":null,"fwci":1.527,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.83840154,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"16","issue":"5","first_page":"512","last_page":"525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9822999835014343,"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":0.9822999835014343,"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/T13065","display_name":"Mining Techniques and Economics","score":0.9751999974250793,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13045","display_name":"Industrial Engineering and Technologies","score":0.9672999978065491,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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":0.7819689512252808},{"id":"https://openalex.org/keywords/event","display_name":"Event (particle physics)","score":0.6239476203918457},{"id":"https://openalex.org/keywords/discrete-event-simulation","display_name":"Discrete event simulation","score":0.6204060316085815},{"id":"https://openalex.org/keywords/stochastic-simulation","display_name":"Stochastic simulation","score":0.6046515107154846},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5494897365570068},{"id":"https://openalex.org/keywords/current","display_name":"Current (fluid)","score":0.47615528106689453},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4664105176925659},{"id":"https://openalex.org/keywords/stochastic-modelling","display_name":"Stochastic modelling","score":0.4566345512866974},{"id":"https://openalex.org/keywords/probability-distribution","display_name":"Probability distribution","score":0.4523636996746063},{"id":"https://openalex.org/keywords/stochastic-process","display_name":"Stochastic process","score":0.448103129863739},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35063350200653076},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3356829583644867},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.22678163647651672},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17587274312973022},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10338708758354187},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07958659529685974}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7819689512252808},{"id":"https://openalex.org/C2779662365","wikidata":"https://www.wikidata.org/wiki/Q5416694","display_name":"Event (particle physics)","level":2,"score":0.6239476203918457},{"id":"https://openalex.org/C147203929","wikidata":"https://www.wikidata.org/wiki/Q574814","display_name":"Discrete event simulation","level":2,"score":0.6204060316085815},{"id":"https://openalex.org/C25915931","wikidata":"https://www.wikidata.org/wiki/Q4180825","display_name":"Stochastic simulation","level":2,"score":0.6046515107154846},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5494897365570068},{"id":"https://openalex.org/C148043351","wikidata":"https://www.wikidata.org/wiki/Q4456944","display_name":"Current (fluid)","level":2,"score":0.47615528106689453},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4664105176925659},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.4566345512866974},{"id":"https://openalex.org/C149441793","wikidata":"https://www.wikidata.org/wiki/Q200726","display_name":"Probability distribution","level":2,"score":0.4523636996746063},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.448103129863739},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35063350200653076},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3356829583644867},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.22678163647651672},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17587274312973022},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10338708758354187},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07958659529685974},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/17477778.2021.1874844","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17477778.2021.1874844","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17477778.2021.1874844?needAccess=true","source":{"id":"https://openalex.org/S207180383","display_name":"Journal of Simulation","issn_l":"1747-7778","issn":["1747-7778","1747-7786","1774-7786"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Simulation","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tjsmxx:v:16:y:2022:i:5:p:512-525","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/17477778.2021.1874844","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},{"id":"pmh:oai:nottingham-repository.worktribe.com:5246256","is_oa":true,"landing_page_url":"https://nottingham-repository.worktribe.com/output/5246256","pdf_url":null,"source":{"id":"https://openalex.org/S4306402483","display_name":"Repository@Nottingham (University of Nottingham)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I142263535","host_organization_name":"University of Nottingham","host_organization_lineage":["https://openalex.org/I142263535"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1080/17477778.2021.1874844","is_oa":true,"landing_page_url":"https://doi.org/10.1080/17477778.2021.1874844","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/17477778.2021.1874844?needAccess=true","source":{"id":"https://openalex.org/S207180383","display_name":"Journal of Simulation","issn_l":"1747-7778","issn":["1747-7778","1747-7786","1774-7786"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Simulation","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4000000059604645}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321030","display_name":"VINNOVA","ror":"https://ror.org/01kd5m353"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W3122379091.pdf"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W618834869","https://openalex.org/W1520733518","https://openalex.org/W1522301498","https://openalex.org/W1579853615","https://openalex.org/W1966829058","https://openalex.org/W1988115241","https://openalex.org/W1990505856","https://openalex.org/W1995051422","https://openalex.org/W2009421916","https://openalex.org/W2059743773","https://openalex.org/W2065637266","https://openalex.org/W2070665593","https://openalex.org/W2136916987","https://openalex.org/W2180748755","https://openalex.org/W2271840356","https://openalex.org/W2287823847","https://openalex.org/W2312970899","https://openalex.org/W2476647140","https://openalex.org/W2523246573","https://openalex.org/W2597150627","https://openalex.org/W2618706938","https://openalex.org/W2755214325","https://openalex.org/W2778501237","https://openalex.org/W2783682473","https://openalex.org/W2791826110","https://openalex.org/W2794202219","https://openalex.org/W2804427762","https://openalex.org/W2888499542","https://openalex.org/W2891629136","https://openalex.org/W2896556344","https://openalex.org/W2912918654","https://openalex.org/W2921882309","https://openalex.org/W2953318193","https://openalex.org/W3047471694","https://openalex.org/W3209398723","https://openalex.org/W4247341229","https://openalex.org/W6631190155"],"related_works":["https://openalex.org/W2374561277","https://openalex.org/W4312526853","https://openalex.org/W2116778801","https://openalex.org/W2026456043","https://openalex.org/W2030551718","https://openalex.org/W1981354971","https://openalex.org/W1978131112","https://openalex.org/W3166091464","https://openalex.org/W2565468990","https://openalex.org/W2065257772"],"abstract_inverted_index":{"In":[0],"discrete":[1],"event":[2,19,28,63],"simulation":[3],"(DES)":[4],"models,":[5],"stochastic":[6,90],"behaviour":[7,112],"is":[8,33,94],"modelled":[9],"by":[10,107],"sampling":[11],"random":[12,76],"variates":[13,77],"from":[14,29,74,109],"probability":[15],"distributions":[16],"to":[17,56,101,117],"determine":[18,57],"outcomes.":[20],"However,":[21],"the":[22,39,46,58,67,124],"distribution":[23,60],"of":[24,48,61,89,123,137,145],"outcomes":[25],"for":[26],"an":[27],"a":[30,104,133,142,146],"real":[31,105],"system":[32,41,106],"often":[34],"dynamic":[35],"and":[36,86,113],"dependent":[37],"on":[38,66],"current":[40,59,68,115],"state.":[42],"This":[43,82],"paper":[44,129],"proposes":[45],"use":[47],"artificial":[49],"neural":[50],"networks":[51],"(ANN)":[52],"in":[53,95,127,141],"DES":[54,135],"models":[55,98],"each":[62],"outcome,":[64],"conditional":[65],"model":[69,136],"state":[70],"or":[71],"input":[72],"data,":[73],"which":[75],"can":[78],"then":[79],"be":[80],"sampled.":[81],"enables":[83],"more":[84],"realistic":[85,134],"accurate":[87],"modelling":[88],"behaviour.":[91],"An":[92],"application":[93],"digital":[96],"twin":[97],"that":[99],"aim":[100],"closely":[102],"mimic":[103],"learning":[108],"its":[110,119],"past":[111],"utilising":[114],"data":[116],"predict":[118],"future.":[120],"The":[121],"benefits":[122],"approach":[125],"introduced":[126],"this":[128],"are":[130],"demonstrated":[131],"through":[132],"load-haul-dump":[138],"vehicle":[139],"operations":[140],"production":[143],"area":[144],"sublevel":[147],"caving":[148],"mine.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6}],"updated_date":"2026-08-15T07:11:24.734988","created_date":"2025-10-10T00:00:00"}
