{"id":"https://openalex.org/W3157332455","doi":"https://doi.org/10.1051/ro/2021076","title":"An effective iterated greedy algorithm for blocking hybrid flow shop problem with due date window","display_name":"An effective iterated greedy algorithm for blocking hybrid flow shop problem with due date window","publication_year":2021,"publication_date":"2021-05-01","ids":{"openalex":"https://openalex.org/W3157332455","doi":"https://doi.org/10.1051/ro/2021076","mag":"3157332455"},"language":"en","primary_location":{"id":"doi:10.1051/ro/2021076","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2021076","pdf_url":"https://www.rairo-ro.org/articles/ro/pdf/2021/04/ro200453.pdf","source":{"id":"https://openalex.org/S20631277","display_name":"RAIRO - Operations Research","issn_l":"0399-0559","issn":["0399-0559","1290-3868"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748"],"host_organization_lineage_names":["EDP Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://www.rairo-ro.org/articles/ro/pdf/2021/04/ro200453.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018915291","display_name":"Ahmed Missaoui","orcid":null},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":true,"raw_author_name":"Ahmed Missaoui","raw_affiliation_strings":["Facult\u00e9 des Sciences \u00c9conomiques et de Gestion de Sfax, Universit\u00e9 de Sfax, Route de l\u2019A\u00e9roport Km 4, Sfax 3018, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facult\u00e9 des Sciences \u00c9conomiques et de Gestion de Sfax, Universit\u00e9 de Sfax, Route de l\u2019A\u00e9roport Km 4, Sfax 3018, Tunisie","institution_ids":["https://openalex.org/I142899784"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102773449","display_name":"Youn\u00e9s Boujelb\u00e8ne","orcid":"https://orcid.org/0000-0002-0012-8704"},"institutions":[{"id":"https://openalex.org/I142899784","display_name":"University of Sfax","ror":"https://ror.org/04d4sd432","country_code":"TN","type":"education","lineage":["https://openalex.org/I142899784"]}],"countries":["TN"],"is_corresponding":false,"raw_author_name":"Youn\u00e8s Boujelbene","raw_affiliation_strings":["Facult\u00e9 des Sciences \u00c9conomiques et de Gestion de Sfax, Universit\u00e9 de Sfax, Route de l\u2019A\u00e9roport Km 4, Sfax 3018, Tunisie"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facult\u00e9 des Sciences \u00c9conomiques et de Gestion de Sfax, Universit\u00e9 de Sfax, Route de l\u2019A\u00e9roport Km 4, Sfax 3018, Tunisie","institution_ids":["https://openalex.org/I142899784"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5018915291"],"corresponding_institution_ids":["https://openalex.org/I142899784"],"apc_list":null,"apc_paid":null,"fwci":3.1739,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.92182711,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"55","issue":"3","first_page":"1603","last_page":"1616"},"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/T11814","display_name":"Advanced Manufacturing and Logistics Optimization","score":0.9957000017166138,"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/T12288","display_name":"Optimization and Search Problems","score":0.9948999881744385,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/tardiness","display_name":"Tardiness","score":0.868474006652832},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.7311020493507385},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6410880088806152},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.6003892421722412},{"id":"https://openalex.org/keywords/iterated-function","display_name":"Iterated function","score":0.566493809223175},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4964662194252014},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.46857571601867676},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4659239947795868},{"id":"https://openalex.org/keywords/iterated-local-search","display_name":"Iterated local search","score":0.43461737036705017},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.42311882972717285},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.41839799284935},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.3443698287010193},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2905662953853607}],"concepts":[{"id":"https://openalex.org/C2778047078","wikidata":"https://www.wikidata.org/wiki/Q82299449","display_name":"Tardiness","level":4,"score":0.868474006652832},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7311020493507385},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6410880088806152},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.6003892421722412},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.566493809223175},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4964662194252014},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.46857571601867676},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4659239947795868},{"id":"https://openalex.org/C124145224","wikidata":"https://www.wikidata.org/wiki/Q6094397","display_name":"Iterated local search","level":3,"score":0.43461737036705017},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.42311882972717285},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.41839799284935},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.3443698287010193},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2905662953853607},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1051/ro/2021076","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2021076","pdf_url":"https://www.rairo-ro.org/articles/ro/pdf/2021/04/ro200453.pdf","source":{"id":"https://openalex.org/S20631277","display_name":"RAIRO - Operations Research","issn_l":"0399-0559","issn":["0399-0559","1290-3868"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748"],"host_organization_lineage_names":["EDP Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},{"id":"pmh:oai:edpsciences.org:dkey/10.1051/ro/2021076","is_oa":true,"landing_page_url":null,"pdf_url":"https://www.rairo-ro.org/10.1051/ro/2021076/pdf","source":{"id":"https://openalex.org/S4306400744","display_name":"Springer Link (Chiba Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I8488066","host_organization_name":"Chiba Institute of Technology","host_organization_lineage":["https://openalex.org/I8488066"],"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":"https://doi.org/10.1051/ro/2021076","raw_type":"Text"},{"id":"pmh:oai:numdam.org:RO_2021__55_3_1603_0","is_oa":false,"landing_page_url":"https://www.numdam.org/articles/10.1051/ro/2021076/","pdf_url":null,"source":{"id":"https://openalex.org/S4306402264","display_name":"French digital mathematics library (Numdam)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I70900168","host_organization_name":"Universit\u00e9 Savoie Mont Blanc","host_organization_lineage":["https://openalex.org/I70900168"],"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":"Text"}],"best_oa_location":{"id":"doi:10.1051/ro/2021076","is_oa":true,"landing_page_url":"https://doi.org/10.1051/ro/2021076","pdf_url":"https://www.rairo-ro.org/articles/ro/pdf/2021/04/ro200453.pdf","source":{"id":"https://openalex.org/S20631277","display_name":"RAIRO - Operations Research","issn_l":"0399-0559","issn":["0399-0559","1290-3868"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319748","host_organization_name":"EDP Sciences","host_organization_lineage":["https://openalex.org/P4310319748"],"host_organization_lineage_names":["EDP Sciences"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"RAIRO - Operations Research","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6200000047683716,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3157332455.pdf","grobid_xml":"https://content.openalex.org/works/W3157332455.grobid-xml"},"referenced_works_count":35,"referenced_works":["https://openalex.org/W1488422606","https://openalex.org/W1625914768","https://openalex.org/W1882154366","https://openalex.org/W1970176495","https://openalex.org/W1981549570","https://openalex.org/W2004158688","https://openalex.org/W2006751452","https://openalex.org/W2022142203","https://openalex.org/W2030762972","https://openalex.org/W2034848607","https://openalex.org/W2035726437","https://openalex.org/W2036912539","https://openalex.org/W2050953018","https://openalex.org/W2077266619","https://openalex.org/W2082856046","https://openalex.org/W2100077540","https://openalex.org/W2106340557","https://openalex.org/W2127154245","https://openalex.org/W2138913627","https://openalex.org/W2149884725","https://openalex.org/W2154814266","https://openalex.org/W2171514738","https://openalex.org/W2472289588","https://openalex.org/W2499859358","https://openalex.org/W2550749820","https://openalex.org/W2581299131","https://openalex.org/W2613315608","https://openalex.org/W2787599801","https://openalex.org/W2792243022","https://openalex.org/W2906154375","https://openalex.org/W2942672358","https://openalex.org/W2955558678","https://openalex.org/W2980010855","https://openalex.org/W3080142961","https://openalex.org/W3133488484"],"related_works":["https://openalex.org/W1980879778","https://openalex.org/W3216729967","https://openalex.org/W2902517208","https://openalex.org/W2113526966","https://openalex.org/W2034702700","https://openalex.org/W2968175378","https://openalex.org/W3006255088","https://openalex.org/W2041102680","https://openalex.org/W2086566512","https://openalex.org/W2473338386"],"abstract_inverted_index":{"Nowadays":[0],"many":[1],"industry":[2],"consider":[3],"an":[4],"interval":[5],"time":[6],"as":[7],"a":[8,37,75,120,140],"due":[9,38],"date":[10],"instead":[11],"of":[12,52,59,70,97,113,123],"precise":[13],"points":[14],"in":[15],"time.":[16,43],"In":[17,107],"this":[18],"study,":[19],"the":[20,45,50,60,68,80,86,92,95,103,111,133],"hybrid":[21,61,104],"flow":[22],"shop":[23],"scheduling":[24],"problem":[25,63],"with":[26],"basic":[27],"blocking":[28],"constraint":[29],"is":[30,47,64,136],"tackled.":[31],"Where":[32],"jobs,":[33],"if":[34],"done":[35],"within":[36],"window,":[39],"are":[40],"deemed":[41],"on":[42,79],"Therefore,":[44],"criterion":[46],"to":[48,67,84,109],"minimize":[49],"sum":[51],"weighted":[53],"earliness":[54],"and":[55,94,138],"tardiness.":[56],"This":[57],"variant":[58],"flowshop":[62,105],"not":[65],"investigated":[66],"best":[69],"our":[71,114],"knowledge.":[72],"we":[73,89,116],"introduced":[74],"new":[76,121],"metaheuristic":[77],"centered":[78],"iterated":[81],"greedy":[82],"approach.":[83],"evaluate":[85],"proposed":[87,134],"method":[88],"start":[90],"by":[91],"re-implementation":[93],"comparison":[96],"seven":[98],"well-selected":[99],"procedures":[100],"that":[101,132],"treat":[102],"problem.":[106],"order":[108],"prove":[110],"robustness":[112],"method,":[115],"evaluated":[117],"it":[118],"using":[119],"benchmark":[122],"more":[124],"than":[125],"1000":[126],"instances.":[127],"The":[128],"experimental":[129],"results":[130],"demonstrated":[131],"algorithm":[135],"effective":[137],"produces":[139],"very":[141],"high":[142],"solution.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":8},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-05-05T08:41:31.759640","created_date":"2025-10-10T00:00:00"}
