{"id":"https://openalex.org/W4404211323","doi":"https://doi.org/10.1186/s40537-024-01030-4","title":"Exploring statistical and machine learning methods for modeling probability distribution parameters in downtime length analysis: a paper manufacturing machine case study","display_name":"Exploring statistical and machine learning methods for modeling probability distribution parameters in downtime length analysis: a paper manufacturing machine case study","publication_year":2024,"publication_date":"2024-11-10","ids":{"openalex":"https://openalex.org/W4404211323","doi":"https://doi.org/10.1186/s40537-024-01030-4"},"language":"en","primary_location":{"id":"doi:10.1186/s40537-024-01030-4","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s40537-024-01030-4","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-024-01030-4.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1186/s40537-024-01030-4.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114580970","display_name":"Vladimir Kokovi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I14245010","display_name":"University of Kragujevac","ror":"https://ror.org/04f7vj627","country_code":"RS","type":"education","lineage":["https://openalex.org/I14245010"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Vladimir Kokovi\u0107","raw_affiliation_strings":["Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia","institution_ids":["https://openalex.org/I14245010"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024252533","display_name":"Kosta Pavlovi\u0107","orcid":"https://orcid.org/0000-0001-6838-6585"},"institutions":[{"id":"https://openalex.org/I5936373","display_name":"University of Montenegro","ror":"https://ror.org/02drrjp49","country_code":"ME","type":"education","lineage":["https://openalex.org/I5936373"]}],"countries":["ME"],"is_corresponding":true,"raw_author_name":"Kosta Pavlovi\u0107","raw_affiliation_strings":["Faculty of Natural Sciences and Mathematics, University of Montenegro, Podgorica, Montenegro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Natural Sciences and Mathematics, University of Montenegro, Podgorica, Montenegro","institution_ids":["https://openalex.org/I5936373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082748428","display_name":"Andjela Mijanovi\u0107","orcid":null},"institutions":[{"id":"https://openalex.org/I5936373","display_name":"University of Montenegro","ror":"https://ror.org/02drrjp49","country_code":"ME","type":"education","lineage":["https://openalex.org/I5936373"]}],"countries":["ME"],"is_corresponding":false,"raw_author_name":"Andjela Mijanovi\u0107","raw_affiliation_strings":["Faculty of Natural Sciences and Mathematics, University of Montenegro, Podgorica, Montenegro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Natural Sciences and Mathematics, University of Montenegro, Podgorica, Montenegro","institution_ids":["https://openalex.org/I5936373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087637805","display_name":"Slavko Kova\u010devi\u0107","orcid":"https://orcid.org/0000-0003-0202-7656"},"institutions":[{"id":"https://openalex.org/I5936373","display_name":"University of Montenegro","ror":"https://ror.org/02drrjp49","country_code":"ME","type":"education","lineage":["https://openalex.org/I5936373"]}],"countries":["ME"],"is_corresponding":false,"raw_author_name":"Slavko Kova\u010devi\u0107","raw_affiliation_strings":["Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Electrical Engineering, University of Montenegro, Podgorica, Montenegro","institution_ids":["https://openalex.org/I5936373"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018601615","display_name":"Ivan Ma\u010du\u017ei\u0107","orcid":"https://orcid.org/0000-0001-6153-6456"},"institutions":[{"id":"https://openalex.org/I14245010","display_name":"University of Kragujevac","ror":"https://ror.org/04f7vj627","country_code":"RS","type":"education","lineage":["https://openalex.org/I14245010"]}],"countries":["RS"],"is_corresponding":false,"raw_author_name":"Ivan Ma\u010du\u017ei\u0107","raw_affiliation_strings":["Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia","institution_ids":["https://openalex.org/I14245010"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048433766","display_name":"Vladimir Bo\u017eovi\u0107","orcid":"https://orcid.org/0000-0002-6341-7685"},"institutions":[{"id":"https://openalex.org/I5936373","display_name":"University of Montenegro","ror":"https://ror.org/02drrjp49","country_code":"ME","type":"education","lineage":["https://openalex.org/I5936373"]}],"countries":["ME"],"is_corresponding":false,"raw_author_name":"Vladimir Bo\u017eovi\u0107","raw_affiliation_strings":["Faculty of Natural Sciences and Mathematics, University of Montenegro, Podgorica, Montenegro"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Natural Sciences and Mathematics, University of Montenegro, Podgorica, Montenegro","institution_ids":["https://openalex.org/I5936373"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5024252533"],"corresponding_institution_ids":["https://openalex.org/I5936373"],"apc_list":{"value":1060,"currency":"GBP","value_usd":1300},"apc_paid":{"value":1060,"currency":"GBP","value_usd":1300},"fwci":0.9806,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79625238,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"11","issue":"1","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9908000230789185,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9908000230789185,"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":0.9889000058174133,"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":0.9625999927520752,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/downtime","display_name":"Downtime","score":0.9264838695526123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7799909710884094},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.506981611251831},{"id":"https://openalex.org/keywords/statistical-analysis","display_name":"Statistical analysis","score":0.4716571867465973},{"id":"https://openalex.org/keywords/machine-tool","display_name":"Machine tool","score":0.4444197118282318},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41027578711509705},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.36126261949539185},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.17329910397529602},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.1690000593662262},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11086225509643555},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07776442170143127}],"concepts":[{"id":"https://openalex.org/C180591934","wikidata":"https://www.wikidata.org/wiki/Q1253369","display_name":"Downtime","level":2,"score":0.9264838695526123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7799909710884094},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.506981611251831},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.4716571867465973},{"id":"https://openalex.org/C5941749","wikidata":"https://www.wikidata.org/wiki/Q19768","display_name":"Machine tool","level":2,"score":0.4444197118282318},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41027578711509705},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.36126261949539185},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.17329910397529602},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.1690000593662262},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11086225509643555},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07776442170143127},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1186/s40537-024-01030-4","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s40537-024-01030-4","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-024-01030-4.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:f5f35dff3b4d416687806895bad123b6","is_oa":true,"landing_page_url":"https://doaj.org/article/f5f35dff3b4d416687806895bad123b6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Big Data, Vol 11, Iss 1, Pp 1-22 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s40537-024-01030-4","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1186/s40537-024-01030-4","pdf_url":"https://link.springer.com/content/pdf/10.1186/s40537-024-01030-4.pdf","source":{"id":"https://openalex.org/S2737955091","display_name":"Journal Of Big Data","issn_l":"2196-1115","issn":["2196-1115"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Big Data","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404211323.pdf","grobid_xml":"https://content.openalex.org/works/W4404211323.grobid-xml"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1518809979","https://openalex.org/W1533179050","https://openalex.org/W1974971448","https://openalex.org/W1984103729","https://openalex.org/W2091521925","https://openalex.org/W2139690358","https://openalex.org/W2206924023","https://openalex.org/W2585196369","https://openalex.org/W2625085107","https://openalex.org/W2985684113","https://openalex.org/W3005231240","https://openalex.org/W3017257212","https://openalex.org/W3092170464","https://openalex.org/W4213121929","https://openalex.org/W4214900601","https://openalex.org/W4231002519","https://openalex.org/W4321793224","https://openalex.org/W4386097191"],"related_works":["https://openalex.org/W2046276983","https://openalex.org/W2954002293","https://openalex.org/W2892741875","https://openalex.org/W2164372000","https://openalex.org/W2078264086","https://openalex.org/W2109143577","https://openalex.org/W1985537075","https://openalex.org/W2161582432","https://openalex.org/W1972812226","https://openalex.org/W2020242364"],"abstract_inverted_index":{"Manufacturing":[0],"companies":[1,214],"focus":[2],"on":[3,115],"improving":[4],"productivity,":[5],"reducing":[6],"costs,":[7],"and":[8,49,64,72,82,224],"aligning":[9],"performance":[10,52,141,152],"metrics":[11],"with":[12,84,143],"strategic":[13],"objectives.":[14],"In":[15,191],"industries":[16],"like":[17,54,97],"paper":[18,69],"manufacturing,":[19],"minimizing":[20,65],"equipment":[21],"downtime":[22,56,78,109,158],"is":[23,59,131],"essential":[24,60],"for":[25,39,76,173,183,200],"maintaining":[26],"high":[27],"throughput.":[28],"Leveraging":[29],"the":[30,144,155,206],"extensive":[31],"data":[32,175],"generated":[33],"by":[34,186],"these":[35,119],"facilities":[36],"offers":[37],"opportunities":[38],"gaining":[40],"competitive":[41],"advantages":[42],"through":[43],"data-driven":[44,95,210],"insights,":[45],"revealing":[46],"trends,":[47],"patterns,":[48],"predicting":[50],"future":[51],"indicators":[53],"unplanned":[55],"length,":[57],"which":[58],"in":[61,133,153,229],"optimizing":[62],"maintenance":[63,222],"potential":[66,184,207],"losses.":[67],"This":[68],"explores":[70],"statistical":[71],"machine":[73,85,194],"learning":[74],"techniques":[75,96,211],"modeling":[77,116,124,154],"length":[79],"probability":[80,106,125],"distributions":[81,107],"correlation":[83],"vibration":[86,195],"measurements.":[87],"We":[88],"proposed":[89,145],"a":[90,139],"novel":[91],"framework,":[92],"employing":[93],"advanced":[94,209],"artificial":[98],"neural":[99],"networks":[100],"(ANNs)":[101],"to":[102,149,161,212,215,225],"estimate":[103],"parameters":[104,117],"of":[105,118,157,177,208],"governing":[108],"lengths.":[110],"Our":[111],"approach":[112],"specifically":[113],"focuses":[114],"distribution,":[120],"rather":[121],"than":[122],"directly":[123],"density":[126],"function":[127],"(PDF)":[128],"values,":[129],"as":[130],"common":[132],"other":[134],"approaches.":[135],"Experimental":[136],"results":[137],"indicate":[138],"significant":[140],"boost,":[142],"method":[146,166],"achieving":[147],"up":[148],"30%":[150],"superior":[151],"distribution":[156],"lengths":[159],"compared":[160],"alternative":[162],"methods.":[163],"Moreover,":[164],"this":[165,192],"facilitates":[167],"unsupervised":[168],"training,":[169],"making":[170],"it":[171],"suitable":[172],"big":[174],"repositories":[176],"unlabelled":[178],"data.":[179],"The":[180,203],"framework":[181],"allows":[182],"expansion":[185],"incorporating":[187],"additional":[188],"input":[189],"variables.":[190],"study,":[193],"velocity":[196],"measurements":[197],"are":[198],"selected":[199],"further":[201],"investigation.":[202],"study":[204],"underscores":[205],"enables":[213],"make":[216],"better-informed":[217],"decisions":[218],"regarding":[219],"their":[220],"current":[221],"practices":[223],"direct":[226],"improvement":[227],"programs":[228],"industrial":[230],"settings.":[231]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}