{"id":"https://openalex.org/W2021649916","doi":"https://doi.org/10.4018/jal.2012100102","title":"Hybrid Multi-Objective Methods to Solve Reentrant Shops","display_name":"Hybrid Multi-Objective Methods to Solve Reentrant Shops","publication_year":2012,"publication_date":"2012-10-01","ids":{"openalex":"https://openalex.org/W2021649916","doi":"https://doi.org/10.4018/jal.2012100102","mag":"2021649916"},"language":"en","primary_location":{"id":"doi:10.4018/jal.2012100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jal.2012100102","pdf_url":null,"source":{"id":"https://openalex.org/S28477642","display_name":"International Journal of Applied Logistics","issn_l":"1947-9573","issn":["1947-9573","1947-9581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Logistics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084029949","display_name":"Fr\u00e9d\u00e9ric Dugardin","orcid":"https://orcid.org/0000-0001-5401-4537"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fr\u00e9d\u00e9ric Dugardin","raw_affiliation_strings":["LOSI, University of Technology of Troyes, Troyes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LOSI, University of Technology of Troyes, Troyes, France","institution_ids":["https://openalex.org/I140494188"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079174269","display_name":"Farouk Yalaoui","orcid":"https://orcid.org/0000-0001-7360-2932"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Farouk Yalaoui","raw_affiliation_strings":["LOSI, University of Technology of Troyes, Troyes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LOSI, University of Technology of Troyes, Troyes, France","institution_ids":["https://openalex.org/I140494188"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103204930","display_name":"Lionel Amodeo","orcid":"https://orcid.org/0000-0003-0250-7959"},"institutions":[{"id":"https://openalex.org/I140494188","display_name":"Universit\u00e9 de Technologie de Troyes","ror":"https://ror.org/01qhqcj41","country_code":"FR","type":"education","lineage":["https://openalex.org/I140494188"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Lionel Amodeo","raw_affiliation_strings":["LOSI, Industrial Systems Optimization Department, University of Technology of Troyes, Troyes, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"LOSI, Industrial Systems Optimization Department, University of Technology of Troyes, Troyes, France","institution_ids":["https://openalex.org/I140494188"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.16359502,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"3","issue":"4","first_page":"15","last_page":"32"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9973000288009644,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9897000193595886,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.936342179775238},{"id":"https://openalex.org/keywords/reentrancy","display_name":"Reentrancy","score":0.9363174438476562},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7305644154548645},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.659460186958313},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.6532126665115356},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.6451694965362549},{"id":"https://openalex.org/keywords/flow-shop-scheduling","display_name":"Flow shop scheduling","score":0.6369297504425049},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5967962145805359},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5931214690208435},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5482847690582275},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2819042205810547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21618247032165527},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17937329411506653},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.08903899788856506}],"concepts":[{"id":"https://openalex.org/C2778047078","wikidata":"https://www.wikidata.org/wiki/Q82299449","display_name":"Tardiness","level":4,"score":0.936342179775238},{"id":"https://openalex.org/C161406801","wikidata":"https://www.wikidata.org/wiki/Q963635","display_name":"Reentrancy","level":2,"score":0.9363174438476562},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7305644154548645},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.659460186958313},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.6532126665115356},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.6451694965362549},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.6369297504425049},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5967962145805359},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5931214690208435},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5482847690582275},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2819042205810547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21618247032165527},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17937329411506653},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.08903899788856506},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems 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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.4018/jal.2012100102","is_oa":false,"landing_page_url":"https://doi.org/10.4018/jal.2012100102","pdf_url":null,"source":{"id":"https://openalex.org/S28477642","display_name":"International Journal of Applied Logistics","issn_l":"1947-9573","issn":["1947-9573","1947-9581"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320424","host_organization_name":"IGI Global","host_organization_lineage":["https://openalex.org/P4310320424"],"host_organization_lineage_names":["IGI Global"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Applied Logistics","raw_type":"journal-article"},{"id":"pmh:oai:HAL:hal-02494117v1","is_oa":false,"landing_page_url":"https://utt.hal.science/hal-02494117","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Applied Logistics, 2012, 3 (4), pp.15-32. ⟨10.4018/jal.2012100102⟩","raw_type":"Journal articles"},{"id":"pmh:oai:RePEc:igg:jal000:v:3:y:2012:i:4:p:15-32","is_oa":false,"landing_page_url":"http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/jal.2012100102","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":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","display_name":"Decent work and economic growth","score":0.4699999988079071}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1585939719","https://openalex.org/W1594966519","https://openalex.org/W1734635326","https://openalex.org/W1969590457","https://openalex.org/W1973506847","https://openalex.org/W1996509086","https://openalex.org/W2000155750","https://openalex.org/W2016740242","https://openalex.org/W2022424208","https://openalex.org/W2026633141","https://openalex.org/W2033739616","https://openalex.org/W2040009672","https://openalex.org/W2041592598","https://openalex.org/W2041657028","https://openalex.org/W2042083437","https://openalex.org/W2043827061","https://openalex.org/W2047193217","https://openalex.org/W2048562612","https://openalex.org/W2052457629","https://openalex.org/W2053353459","https://openalex.org/W2060857337","https://openalex.org/W2065192513","https://openalex.org/W2067860534","https://openalex.org/W2068716035","https://openalex.org/W2078710139","https://openalex.org/W2082809580","https://openalex.org/W2087418240","https://openalex.org/W2100121891","https://openalex.org/W2100529342","https://openalex.org/W2126105956","https://openalex.org/W2130038852","https://openalex.org/W2315541773","https://openalex.org/W2320025736","https://openalex.org/W4300936588","https://openalex.org/W7004819668"],"related_works":["https://openalex.org/W3097192092","https://openalex.org/W3029619930","https://openalex.org/W2061005265","https://openalex.org/W1980879778","https://openalex.org/W1973506847","https://openalex.org/W3216729967","https://openalex.org/W2185192838","https://openalex.org/W2902517208","https://openalex.org/W2113526966","https://openalex.org/W2146297781"],"abstract_inverted_index":{"This":[0,12,47,131],"article":[1],"examines":[2],"the":[3,41,44,74,80,83,87,125,136],"multi-objective":[4],"scheduling":[5],"of":[6,14,18,22,79,86,122],"a":[7,28,35,50],"reentrant":[8,51],"hybrid":[9],"flow":[10],"shop.":[11],"type":[13],"shop":[15],"is":[16,38,68,92,116,128,133],"composed":[17],"several":[19,23,58,140],"stages":[20],"made":[21],"identical":[24],"parallel":[25],"machines.":[26],"When":[27],"task":[29,54],"has":[30],"to":[31,40],"be":[32,56],"processed":[33,57],"on":[34],"stage,":[36],"it":[37],"assigned":[39],"machine":[42],"with":[43,94,118,135],"smallest":[45],"workload.":[46],"problem":[48,67],"shows":[49],"structure:":[52],"each":[53,61],"must":[55],"times":[59],"at":[60],"stage.":[62],"In":[63],"this":[64,66],"paper,":[65],"solved":[69],"by":[70],"minimizing":[71],"two":[72],"objectives:":[73],"makespan":[75],"(maximum":[76],"completion":[77],"time":[78],"jobs)":[81],"and":[82,99,105,108,110,124],"total":[84],"tardiness":[85],"tasks.":[88],"A":[89],"new":[90],"method":[91,120,132],"improved":[93],"different":[95,146],"local":[96,114],"searches:":[97],"Adjacent":[98,101],"Non":[100],"Pairwise":[102],"Interchange,":[103],"Extract":[104,109],"Backward-Shifted":[106],"Reinsertion,":[107],"Forward-Shifted":[111],"Reinsertion.":[112],"Every":[113],"search":[115],"tuned":[117],"statistical":[119],"(design":[121],"experiment)":[123],"best":[126,137],"one":[127,138],"worked":[129],"out.":[130],"compared":[134],"in":[139],"instances.":[141],"The":[142],"results":[143],"involve":[144],"three":[145],"measures.":[147]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}