{"id":"https://openalex.org/W2988096906","doi":"https://doi.org/10.1007/s00291-019-00567-8","title":"A machine learning approach for flow shop scheduling problems with alternative resources, sequence-dependent setup times, and blocking","display_name":"A machine learning approach for flow shop scheduling problems with alternative resources, sequence-dependent setup times, and blocking","publication_year":2019,"publication_date":"2019-11-18","ids":{"openalex":"https://openalex.org/W2988096906","doi":"https://doi.org/10.1007/s00291-019-00567-8","mag":"2988096906"},"language":"en","primary_location":{"id":"doi:10.1007/s00291-019-00567-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00291-019-00567-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00291-019-00567-8.pdf","source":{"id":"https://openalex.org/S2502551423","display_name":"OR Spectrum","issn_l":"0171-6468","issn":["0171-6468","1436-6304"],"is_oa":false,"is_in_doaj":false,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"OR Spectrum","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00291-019-00567-8.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065655578","display_name":"Frank Benda","orcid":"https://orcid.org/0000-0001-5553-1683"},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]},{"id":"https://openalex.org/I4210105054","display_name":"Christian Doppler Laboratory for Thermoelectricity","ror":"https://ror.org/01cbw5x35","country_code":"AT","type":"facility","lineage":["https://openalex.org/I129774422","https://openalex.org/I145847075","https://openalex.org/I4210105054"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Frank Benda","raw_affiliation_strings":["Christian Doppler Laboratory for Efficient Intermodal Transport Operations, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria","Department of Business Administration, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Christian Doppler Laboratory for Efficient Intermodal Transport Operations, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria","institution_ids":["https://openalex.org/I4210105054","https://openalex.org/I129774422"]},{"raw_affiliation_string":"Department of Business Administration, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria","institution_ids":["https://openalex.org/I129774422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088742299","display_name":"Roland Braune","orcid":"https://orcid.org/0000-0003-4086-229X"},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Roland Braune","raw_affiliation_strings":["Department of Business Decisions and Analytics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Business Decisions and Analytics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria","institution_ids":["https://openalex.org/I129774422"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021047347","display_name":"Karl F. Doerner","orcid":"https://orcid.org/0000-0001-8350-1393"},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Karl F. Doerner","raw_affiliation_strings":["Department of Business Decisions and Analytics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria","Research Platform Data Science @ Uni Vienna, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Business Decisions and Analytics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria","institution_ids":["https://openalex.org/I129774422"]},{"raw_affiliation_string":"Research Platform Data Science @ Uni Vienna, Vienna, Austria","institution_ids":["https://openalex.org/I129774422"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087303286","display_name":"Richard F. Hartl","orcid":"https://orcid.org/0000-0002-0461-0979"},"institutions":[{"id":"https://openalex.org/I129774422","display_name":"University of Vienna","ror":"https://ror.org/03prydq77","country_code":"AT","type":"education","lineage":["https://openalex.org/I129774422"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Richard F. Hartl","raw_affiliation_strings":["Department of Business Decisions and Analytics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria"],"affiliations":[{"raw_affiliation_string":"Department of Business Decisions and Analytics, University of Vienna, Oskar-Morgenstern-Platz 1, 1090, Vienna, Austria","institution_ids":["https://openalex.org/I129774422"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5065655578"],"corresponding_institution_ids":["https://openalex.org/I129774422","https://openalex.org/I4210105054"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":1.768,"has_fulltext":true,"cited_by_count":22,"citation_normalized_percentile":{"value":0.87819388,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"41","issue":"4","first_page":"871","last_page":"893"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":1.0,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":1.0,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9983999729156494,"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9818000197410583,"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/tardiness","display_name":"Tardiness","score":0.9584261178970337},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.746965765953064},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6576766967773438},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.552971601486206},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5146034955978394},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.49568283557891846},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.48321759700775146},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4797990620136261},{"id":"https://openalex.org/keywords/job-shop","display_name":"Job shop","score":0.44485774636268616},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3461315333843231},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.20006868243217468},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15877747535705566}],"concepts":[{"id":"https://openalex.org/C2778047078","wikidata":"https://www.wikidata.org/wiki/Q82299449","display_name":"Tardiness","level":4,"score":0.9584261178970337},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.746965765953064},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6576766967773438},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.552971601486206},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5146034955978394},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.49568283557891846},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.48321759700775146},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4797990620136261},{"id":"https://openalex.org/C2777243215","wikidata":"https://www.wikidata.org/wiki/Q1493226","display_name":"Job shop","level":5,"score":0.44485774636268616},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3461315333843231},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.20006868243217468},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15877747535705566},{"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/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.0},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1007/s00291-019-00567-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00291-019-00567-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00291-019-00567-8.pdf","source":{"id":"https://openalex.org/S2502551423","display_name":"OR Spectrum","issn_l":"0171-6468","issn":["0171-6468","1436-6304"],"is_oa":false,"is_in_doaj":false,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"OR Spectrum","raw_type":"journal-article"},{"id":"pmh:info:fedora/oai:univie.ac.at:o:1076905","is_oa":true,"landing_page_url":"https://phaidra.univie.ac.at/o:1076905","pdf_url":null,"source":{"id":"https://openalex.org/S4306401993","display_name":"Phaidra (Universit\u00e4t Wien)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I129774422","host_organization_name":"University of Vienna","host_organization_lineage":["https://openalex.org/I129774422"],"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":"ISSN:0171-6468","raw_type":"article"},{"id":"pmh:oai:RePEc:spr:orspec:v:41:y:2019:i:4:d:10.1007_s00291-019-00567-8","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s00291-019-00567-8","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:10.1007/s00291-019-00567-8","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00291-019-00567-8","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00291-019-00567-8.pdf","source":{"id":"https://openalex.org/S2502551423","display_name":"OR Spectrum","issn_l":"0171-6468","issn":["0171-6468","1436-6304"],"is_oa":false,"is_in_doaj":false,"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","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"OR Spectrum","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.4399999976158142,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320311813","display_name":"\u00d6sterreichische Nationalstiftung f\u00fcr Forschung, Technologie und Entwicklung","ror":"https://ror.org/04hb33h70"},{"id":"https://openalex.org/F4320321691","display_name":"Universit\u00e4t Wien","ror":"https://ror.org/03prydq77"},{"id":"https://openalex.org/F4320327593","display_name":"Bundesministerium f\u00fcr Digitalisierung und Wirtschaftsstandort","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2988096906.pdf","grobid_xml":"https://content.openalex.org/works/W2988096906.grobid-xml"},"referenced_works_count":21,"referenced_works":["https://openalex.org/W325208361","https://openalex.org/W1545265859","https://openalex.org/W1970329178","https://openalex.org/W1972928373","https://openalex.org/W1975498203","https://openalex.org/W2014034914","https://openalex.org/W2026153697","https://openalex.org/W2028900733","https://openalex.org/W2032147932","https://openalex.org/W2046140730","https://openalex.org/W2067701099","https://openalex.org/W2068003474","https://openalex.org/W2069641426","https://openalex.org/W2111244700","https://openalex.org/W2122967269","https://openalex.org/W2125055259","https://openalex.org/W2149706766","https://openalex.org/W2149884725","https://openalex.org/W2464234006","https://openalex.org/W2483746649","https://openalex.org/W2911964244"],"related_works":["https://openalex.org/W3097192092","https://openalex.org/W3029619930","https://openalex.org/W2061005265","https://openalex.org/W1980879778","https://openalex.org/W3216729967","https://openalex.org/W2185192838","https://openalex.org/W2902517208","https://openalex.org/W2113526966","https://openalex.org/W2146297781","https://openalex.org/W2612484291"],"abstract_inverted_index":{"Abstract":[0],"In":[1],"proposing":[2],"a":[3,8,26,33,43,78,86,141,151,168,191],"machine":[4,93,201],"learning":[5,202],"approach":[6,139,175,203],"for":[7,38,52,120,155,210,218],"flow":[9],"shop":[10,153],"scheduling":[11],"problem":[12,133],"with":[13,176],"alternative":[14],"resources,":[15],"sequence-dependent":[16],"setup":[17],"times,":[18],"and":[19,46,92,124,162,173,185,214],"blocking,":[20],"this":[21,138],"paper":[22],"seeks":[23],"to":[24,105],"generate":[25],"tree-based":[27],"priority":[28,178],"rule":[29],"in":[30,206,215],"terms":[31],"of":[32,65,89,101,113,137,145,167,170],"well-performing":[34],"decision":[35],"tree":[36],"(DT)":[37],"dispatching":[39,179],"jobs.":[40],"Furthermore,":[41],"generating":[42],"generic":[44],"DT":[45,70,172],"RF":[47,174],"that":[48,55,149,198],"yields":[49],"competitive":[50],"results":[51,166],"instance":[53,118,208],"scenarios":[54,119],"structurally":[56],"differ":[57],"from":[58,190],"the":[59,99,111,114,171,181,199,211,219],"training":[60],"instances":[61],"was":[62],"another":[63],"goal":[64],"our":[66],"research.":[67],"The":[68,135,165],"proposed":[69,115,200],"relies":[71],"on":[72,131],"high":[73],"quality":[74],"solutions,":[75],"obtained":[76],"using":[77],"constraint":[79],"programming":[80,194],"(CP)":[81],"formulation.":[82],"Novel":[83],"aspects":[84],"include":[85],"unified":[87],"representation":[88],"job":[90],"sequencing":[91],"assignment":[94],"decisions,":[95],"as":[96,98,160],"well":[97,205],"generation":[100],"random":[102],"forests":[103],"(RF)":[104],"counteract":[106],"overfitting":[107],"behaviour.":[108],"To":[109],"show":[110,197],"performance":[112],"approaches,":[116],"different":[117],"two":[121,177],"objectives":[122],"(makespan":[123],"total":[125,220],"tardiness":[126,221],"minimisation)":[127],"were":[128],"implemented,":[129],"based":[130],"randomised":[132],"data.":[134],"background":[136],"is":[140],"real-world":[142],"physical":[143],"system":[144],"an":[146],"industrial":[147],"partner":[148],"represents":[150],"typical":[152],"floor":[154],"many":[156],"production":[157],"processes,":[158],"such":[159],"furniture":[161],"window":[163],"construction.":[164],"comparison":[169],"rules,":[180],"original":[182],"CP":[183],"solutions":[184],"tight":[186],"lower":[187],"bounds":[188],"retrieved":[189],"strengthened":[192],"mixed-integer":[193],"(MIP)":[195],"formulation":[196],"performs":[204],"most":[207],"sets":[209,217],"makespan":[212],"objective":[213],"all":[216],"objective.":[222]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}