{"id":"https://openalex.org/W3194250276","doi":"https://doi.org/10.1080/00207543.2021.1956675","title":"Machine learning in manufacturing and industry 4.0 applications","display_name":"Machine learning in manufacturing and industry 4.0 applications","publication_year":2021,"publication_date":"2021-08-14","ids":{"openalex":"https://openalex.org/W3194250276","doi":"https://doi.org/10.1080/00207543.2021.1956675","mag":"3194250276"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2021.1956675","is_oa":true,"landing_page_url":"https://doi.org/10.1080/00207543.2021.1956675","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1956675?needAccess=true","source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"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"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","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/10.1080/00207543.2021.1956675?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5090155483","display_name":"Rahul Rai","orcid":"https://orcid.org/0000-0002-6478-4065"},"institutions":[{"id":"https://openalex.org/I8078737","display_name":"Clemson University","ror":"https://ror.org/037s24f05","country_code":"US","type":"education","lineage":["https://openalex.org/I8078737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rahul Rai","raw_affiliation_strings":["GRAIL Lab, Clemson University, Clemson, South Carolina"],"affiliations":[{"raw_affiliation_string":"GRAIL Lab, Clemson University, Clemson, South Carolina","institution_ids":["https://openalex.org/I8078737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056526187","display_name":"Manoj Kumar Tiwari","orcid":"https://orcid.org/0000-0001-8564-1402"},"institutions":[{"id":"https://openalex.org/I145894827","display_name":"Indian Institute of Technology Kharagpur","ror":"https://ror.org/03w5sq511","country_code":"IN","type":"education","lineage":["https://openalex.org/I145894827"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manoj Kumar Tiwari","raw_affiliation_strings":["Indian Institute of Technology, Kharagpur, India"],"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology, Kharagpur, India","institution_ids":["https://openalex.org/I145894827"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085640653","display_name":"Dmitry Ivanov","orcid":"https://orcid.org/0000-0003-4932-9627"},"institutions":[{"id":"https://openalex.org/I205892228","display_name":"Berlin School of Economics and Law","ror":"https://ror.org/03rkmps36","country_code":"DE","type":"education","lineage":["https://openalex.org/I205892228"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Dmitry Ivanov","raw_affiliation_strings":["Hochschule f\u00fcr Wirtschaft und Recht, Berlin, Germany"],"affiliations":[{"raw_affiliation_string":"Hochschule f\u00fcr Wirtschaft und Recht, Berlin, Germany","institution_ids":["https://openalex.org/I205892228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015824343","display_name":"Alexandre Dolgui","orcid":"https://orcid.org/0000-0003-0527-4716"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I4210117005","display_name":"Laboratoire des Sciences du Num\u00e9rique de Nantes","ror":"https://ror.org/02snf8m58","country_code":"FR","type":"facility","lineage":["https://openalex.org/I100445878","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I4210117005","https://openalex.org/I4210124215","https://openalex.org/I4210127572","https://openalex.org/I4210139971","https://openalex.org/I97188460","https://openalex.org/I97188460"]},{"id":"https://openalex.org/I4210127572","display_name":"IMT Atlantique","ror":"https://ror.org/030hj3061","country_code":"FR","type":"education","lineage":["https://openalex.org/I205703379","https://openalex.org/I4210127572"]},{"id":"https://openalex.org/I97188460","display_name":"Nantes Universit\u00e9","ror":"https://ror.org/03gnr7b55","country_code":"FR","type":"education","lineage":["https://openalex.org/I97188460"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Alexandre Dolgui","raw_affiliation_strings":["IMT Atlantique, Nantes, France"],"affiliations":[{"raw_affiliation_string":"IMT Atlantique, Nantes, France","institution_ids":["https://openalex.org/I4210127572","https://openalex.org/I97188460","https://openalex.org/I1326498283","https://openalex.org/I4210117005"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5090155483"],"corresponding_institution_ids":["https://openalex.org/I8078737"],"apc_list":null,"apc_paid":null,"fwci":50.8936,"has_fulltext":false,"cited_by_count":509,"citation_normalized_percentile":{"value":0.99924077,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"59","issue":"16","first_page":"4773","last_page":"4778"},"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":0.9986000061035156,"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":0.9986000061035156,"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/T10763","display_name":"Digital Transformation in Industry","score":0.9965000152587891,"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":0.9789000153541565,"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/variety","display_name":"Variety (cybernetics)","score":0.6477453112602234},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.6381825804710388},{"id":"https://openalex.org/keywords/industry-4.0","display_name":"Industry 4.0","score":0.5986461043357849},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5217084288597107},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5150997042655945},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5093477964401245},{"id":"https://openalex.org/keywords/manufacturing-engineering","display_name":"Manufacturing engineering","score":0.4929978549480438},{"id":"https://openalex.org/keywords/manufacturing","display_name":"Manufacturing","score":0.4867429733276367},{"id":"https://openalex.org/keywords/smart-manufacturing","display_name":"Smart manufacturing","score":0.4756443202495575},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.4658663272857666},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.41736310720443726},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41231802105903625},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3814013600349426},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.3383439779281616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30566009879112244},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.14710888266563416},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.12103518843650818},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.10048672556877136}],"concepts":[{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.6477453112602234},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.6381825804710388},{"id":"https://openalex.org/C2777986313","wikidata":"https://www.wikidata.org/wiki/Q1661989","display_name":"Industry 4.0","level":2,"score":0.5986461043357849},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5217084288597107},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5150997042655945},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5093477964401245},{"id":"https://openalex.org/C117671659","wikidata":"https://www.wikidata.org/wiki/Q11049265","display_name":"Manufacturing engineering","level":1,"score":0.4929978549480438},{"id":"https://openalex.org/C175700187","wikidata":"https://www.wikidata.org/wiki/Q187939","display_name":"Manufacturing","level":2,"score":0.4867429733276367},{"id":"https://openalex.org/C2988642114","wikidata":"https://www.wikidata.org/wiki/Q25112020","display_name":"Smart manufacturing","level":2,"score":0.4756443202495575},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.4658663272857666},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.41736310720443726},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41231802105903625},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3814013600349426},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.3383439779281616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30566009879112244},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.14710888266563416},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.12103518843650818},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.10048672556877136},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","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/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2021.1956675","is_oa":true,"landing_page_url":"https://doi.org/10.1080/00207543.2021.1956675","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1956675?needAccess=true","source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"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"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:59:y:2021:i:16:p:4773-4778","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2021.1956675","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"}],"best_oa_location":{"id":"doi:10.1080/00207543.2021.1956675","is_oa":true,"landing_page_url":"https://doi.org/10.1080/00207543.2021.1956675","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.1956675?needAccess=true","source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"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"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.6499999761581421,"display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3194250276.pdf","grobid_xml":"https://content.openalex.org/works/W3194250276.grobid-xml"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W2030397439","https://openalex.org/W2056375729","https://openalex.org/W2797161036","https://openalex.org/W2887832238","https://openalex.org/W2906536945","https://openalex.org/W2910722211","https://openalex.org/W2914830398","https://openalex.org/W2944945116","https://openalex.org/W3017305623","https://openalex.org/W3019295470","https://openalex.org/W3036568639","https://openalex.org/W3081074546","https://openalex.org/W3089801272","https://openalex.org/W3107212388","https://openalex.org/W3112410687","https://openalex.org/W3117951887","https://openalex.org/W3134063659","https://openalex.org/W3134315133","https://openalex.org/W3135025149","https://openalex.org/W3154589832","https://openalex.org/W3159743838","https://openalex.org/W3167986843","https://openalex.org/W3182044349"],"related_works":["https://openalex.org/W2605859962","https://openalex.org/W3184091693","https://openalex.org/W4389896816","https://openalex.org/W2789411814","https://openalex.org/W2992967685","https://openalex.org/W4387261294","https://openalex.org/W4283524929","https://openalex.org/W4319589406","https://openalex.org/W3114672757","https://openalex.org/W4384917363"],"abstract_inverted_index":{"The":[0,19],"machine":[1],"learning":[2],"(ML)":[3],"field":[4],"has":[5,76],"deeply":[6],"impacted":[7],"the":[8,12,15,24,46,53,63,67,130,180,184],"manufacturing":[9,58,80,96,127,198],"industry":[10,20],"in":[11,92,123,129,183,197],"context":[13],"of":[14,26,48,69,95,126,161,176,192],"Industry":[16],"4.0":[17,21],"paradigm.":[18],"paradigm":[22],"encourages":[23],"usage":[25],"smart":[27,34,162],"sensors,":[28],"devices,":[29],"and":[30,82,101,113,135,143,158,194,199],"machines,":[31],"to":[32,41,56,72,147,152,178],"enable":[33,45,148],"factories":[35],"that":[36],"continuously":[37],"collect":[38],"data":[39,55,140,145],"pertaining":[40],"production.":[42],"ML":[43,70,118,193],"techniques":[44,71,119],"generation":[47],"actionable":[49,150],"intelligence":[50,151],"by":[51],"processing":[52],"collected":[54],"increase":[57],"efficiency":[59],"without":[60],"significantly":[61],"changing":[62],"required":[64],"resources.":[65],"Additionally,":[66],"ability":[68],"provide":[73],"predictive":[74,104],"insights":[75],"enabled":[77],"discerning":[78],"complex":[79],"patterns":[81],"offers":[83],"a":[84,93,124,173],"pathway":[85],"for":[86],"an":[87],"intelligent":[88,100],"decision":[89],"support":[90],"system":[91],"variety":[94,125],"tasks":[97],"such":[98,154],"as":[99,155,187,189],"continuous":[102],"inspection,":[103],"maintenance,":[105],"quality":[106],"improvement,":[107],"process":[108],"optimisation,":[109],"supply":[110],"chain":[111],"management,":[112],"task":[114],"scheduling.":[115],"While":[116],"different":[117],"have":[120],"been":[121],"used":[122],"applications":[128,196],"past,":[131],"many":[132],"open":[133],"questions":[134],"challenges":[136],"remain,":[137],"from":[138],"Big":[139],"curation,":[141],"storage,":[142],"understanding,":[144],"reasoning":[146],"real-time":[149],"topics":[153],"edge":[156],"computing":[157],"cybersecurity":[159],"aspects":[160,191],"manufacturing.":[163],"Hence,":[164],"this":[165],"special":[166],"issue":[167],"is":[168],"focused":[169],"on":[170],"bringing":[171],"together":[172],"wide":[174],"range":[175],"researchers":[177],"report":[179],"latest":[181],"efforts":[182],"fundamental":[185],"theoretical":[186],"well":[188],"experimental":[190],"their":[195],"productionsystems.":[200]},"counts_by_year":[{"year":2026,"cited_by_count":24},{"year":2025,"cited_by_count":148},{"year":2024,"cited_by_count":159},{"year":2023,"cited_by_count":112},{"year":2022,"cited_by_count":62},{"year":2021,"cited_by_count":4}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}