{"id":"https://openalex.org/W4280505751","doi":"https://doi.org/10.1109/syscon53536.2022.9773798","title":"Improving high value manufacturing with simulation-based Bayesian Optimisation","display_name":"Improving high value manufacturing with simulation-based Bayesian Optimisation","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4280505751","doi":"https://doi.org/10.1109/syscon53536.2022.9773798"},"language":"en","primary_location":{"id":"doi:10.1109/syscon53536.2022.9773798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon53536.2022.9773798","pdf_url":null,"source":{"id":"https://openalex.org/S4363608590","display_name":"2022 IEEE International Systems Conference (SysCon)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Systems Conference (SysCon)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://figshare.com/articles/conference_contribution/Improving_high_value_manufacturing_with_simulation-based_Bayesian_Optimisation/20589981","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072328256","display_name":"Bruce Gunn","orcid":"https://orcid.org/0000-0002-1190-2435"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Bruce Gunn","raw_affiliation_strings":["Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University,Australia","Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University,Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088507795","display_name":"Imali Hettiarachchi","orcid":"https://orcid.org/0000-0002-4220-0970"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Imali T. Hettiarachchi","raw_affiliation_strings":["Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University,Australia","Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University,Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000102507","display_name":"Michael Johnstone","orcid":"https://orcid.org/0000-0002-3005-8911"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Michael Johnstone","raw_affiliation_strings":["Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University,Australia","Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University,Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046392133","display_name":"Vu Le","orcid":"https://orcid.org/0000-0001-9589-3371"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Vu Le","raw_affiliation_strings":["Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University,Australia","Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University,Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046519614","display_name":"Douglas Creighton","orcid":"https://orcid.org/0000-0002-9217-1231"},"institutions":[{"id":"https://openalex.org/I149704539","display_name":"Deakin University","ror":"https://ror.org/02czsnj07","country_code":"AU","type":"education","lineage":["https://openalex.org/I149704539"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Douglas Creighton","raw_affiliation_strings":["Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University,Australia","Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia"],"affiliations":[{"raw_affiliation_string":"Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University,Australia","institution_ids":["https://openalex.org/I149704539"]},{"raw_affiliation_string":"Institute of Intelligent Systems Research and Innovation (IISRI), Deakin University, Australia","institution_ids":["https://openalex.org/I149704539"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048829756","display_name":"Luke Preston","orcid":null},"institutions":[{"id":"https://openalex.org/I2802320085","display_name":"Reformed Theological College","ror":"https://ror.org/03w7tfy68","country_code":"AU","type":"education","lineage":["https://openalex.org/I2802320085"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Luke Preston","raw_affiliation_strings":["Carbon Revolution,Geelong,Victoria,Australia","Carbon Revolution, Geelong, Victoria, Australia"],"affiliations":[{"raw_affiliation_string":"Carbon Revolution,Geelong,Victoria,Australia","institution_ids":["https://openalex.org/I2802320085"]},{"raw_affiliation_string":"Carbon Revolution, Geelong, Victoria, Australia","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5072328256"],"corresponding_institution_ids":["https://openalex.org/I149704539"],"apc_list":null,"apc_paid":null,"fwci":1.0391,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68428277,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9943000078201294,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9943000078201294,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9718000292778015,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11195","display_name":"Simulation Techniques and Applications","score":0.9617000222206116,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7068932056427002},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.6834276914596558},{"id":"https://openalex.org/keywords/testbed","display_name":"Testbed","score":0.6229004859924316},{"id":"https://openalex.org/keywords/throughput","display_name":"Throughput","score":0.6094397306442261},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.5869777202606201},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.5832520127296448},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.569101870059967},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.488977313041687},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.47453200817108154},{"id":"https://openalex.org/keywords/stochastic-simulation","display_name":"Stochastic simulation","score":0.44717806577682495},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3282986879348755},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3203759789466858},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23941898345947266},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1737266480922699},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10046440362930298}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7068932056427002},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.6834276914596558},{"id":"https://openalex.org/C31395832","wikidata":"https://www.wikidata.org/wiki/Q1318674","display_name":"Testbed","level":2,"score":0.6229004859924316},{"id":"https://openalex.org/C157764524","wikidata":"https://www.wikidata.org/wiki/Q1383412","display_name":"Throughput","level":3,"score":0.6094397306442261},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.5869777202606201},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.5832520127296448},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.569101870059967},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.488977313041687},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.47453200817108154},{"id":"https://openalex.org/C25915931","wikidata":"https://www.wikidata.org/wiki/Q4180825","display_name":"Stochastic simulation","level":2,"score":0.44717806577682495},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3282986879348755},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3203759789466858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23941898345947266},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1737266480922699},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10046440362930298},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C24326235","wikidata":"https://www.wikidata.org/wiki/Q126095","display_name":"Electronic engineering","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C555944384","wikidata":"https://www.wikidata.org/wiki/Q249","display_name":"Wireless","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/syscon53536.2022.9773798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/syscon53536.2022.9773798","pdf_url":null,"source":{"id":"https://openalex.org/S4363608590","display_name":"2022 IEEE International Systems Conference (SysCon)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Systems Conference (SysCon)","raw_type":"proceedings-article"},{"id":"pmh:oai:figshare.com:article/20589981","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Improving_high_value_manufacturing_with_simulation-based_Bayesian_Optimisation/20589981","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:figshare.com:article/20589981","is_oa":true,"landing_page_url":"https://figshare.com/articles/conference_contribution/Improving_high_value_manufacturing_with_simulation-based_Bayesian_Optimisation/20589981","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2883256816","https://openalex.org/W2171408034","https://openalex.org/W3003320923","https://openalex.org/W2106140982","https://openalex.org/W2152313554","https://openalex.org/W2064303750","https://openalex.org/W3048672182","https://openalex.org/W1509300825","https://openalex.org/W2013981730","https://openalex.org/W2029848218"],"abstract_inverted_index":{"This":[0,238],"paper":[1],"presents":[2],"a":[3,14,38,43,79,100,120,128,175,178,240],"novel":[4],"combination":[5],"of":[6,13,20,87,99,127,177,200,243,249],"simulation-based":[7],"optimisation":[8,24,151,183,292],"for":[9,30,106,123,290],"the":[10,23,31,74,89,97,108,110,182,206,210,235,244,250,255,274],"process":[11],"operation":[12],"physical":[15],"factory,":[16],"with":[17,27,63,146,194,263],"an":[18,84,154],"emphasis":[19],"understanding":[21,88,124],"how":[22],"results":[25,224,228,258],"support":[26],"design":[28,94],"decisions":[29,271],"evolving":[32],"system":[33,90,125],"requirements.":[34],"The":[35,46,185,215,257,276],"study":[36,171],"combines":[37],"discreteevent":[39],"simulation":[40,111,130],"(DES)":[41],"and":[42,92,138,166,192,225,268,286],"Bayesian":[44,150],"optimiser.":[45],"DES":[47],"models":[48,75,112,145,285],"contain":[49],"multiple":[50],"input":[51,148,190,201],"variables,":[52],"which":[53,157],"can":[54,133,158],"be":[55,134,159],"varied":[56],"to":[57,61,77,208,219,231,283],"generate":[58,232],"model":[59,105,176,186],"outputs":[60],"help":[62],"decision":[64],"making":[65],"in":[66,161,205,254,261,266],"stochastic,":[67],"dynamic":[68],"environments.":[69],"To":[70],"this":[71,162,170],"end,":[72],"optimising":[73],"output":[76],"achieve":[78],"maximum":[80],"or":[81],"minimum":[82],"is":[83,119,153,280,287],"integral":[85],"part":[86],"performance":[91],"guiding":[93],"choices.":[95],"With":[96],"absence":[98],"simple":[101],"(or":[102],"approximate)":[103],"mathematical":[104],"describing":[107],"system,":[109],"are":[113,260],"treated":[114],"as":[115,181],"black-box":[116,129],"functions.Sensitivity":[117],"analysis":[118,242],"key":[121,251],"method":[122,277],"dynamics":[126],"model.":[131],"It":[132],"very":[135],"time":[136],"consuming":[137],"computational":[139],"expensive,":[140],"however,":[141],"when":[142],"considering":[143],"complex":[144],"many":[147,188],"variables.":[149],"(BO)":[152],"attractive":[155],"alternative":[156],"used":[160,230,253],"context,":[163],"being":[164],"sequential":[165],"containing":[167],"self-learning":[168],"algorithms.In":[169],"we":[172],"have":[173],"utilised":[174],"manufacturing":[179],"factory":[180,211,245],"testbed.":[184],"contains":[187],"stochastic":[189],"variables":[191],"operates":[193],"day-night":[195],"shift":[196],"patterns.":[197],"A":[198],"subset":[199],"parameters":[202,252],"was":[203,217],"optimised":[204],"study,":[207],"maximize":[209],"throughput":[212,223],"per":[213],"day.":[214],"optimiser":[216],"able":[218],"produce":[220],"good":[221],"overall":[222],"furthermore,":[226],"BO":[227],"were":[229],"charts":[233],"showing":[234],"input-output":[236],"relationship.":[237],"enabled":[239],"sensitivity":[241],"model,":[246],"against":[247],"each":[248],"optimisation.":[256],"obtained":[259],"line":[262],"those":[264],"observed":[265],"practice":[267],"helped":[269],"inform":[270],"made":[272],"within":[273],"factory.":[275],"deployed":[278],"here":[279],"easily":[281,288],"adapted":[282],"other":[284,291],"modifiable":[289],"techniques.":[293]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}