{"id":"https://openalex.org/W2947041009","doi":"https://doi.org/10.1080/00207543.2019.1622052","title":"Hybrid algorithm based on improved extended shifting bottleneck procedure and GA for assembly job shop scheduling problem","display_name":"Hybrid algorithm based on improved extended shifting bottleneck procedure and GA for assembly job shop scheduling problem","publication_year":2019,"publication_date":"2019-05-30","ids":{"openalex":"https://openalex.org/W2947041009","doi":"https://doi.org/10.1080/00207543.2019.1622052","mag":"2947041009"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2019.1622052","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2019.1622052","pdf_url":null,"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":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101466631","display_name":"Fei Shi","orcid":"https://orcid.org/0000-0002-1528-8444"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Shi","raw_affiliation_strings":["School of Mechanical Engineering, University of Jinan, Jinan, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Jinan, Jinan, People's Republic of China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055443340","display_name":"Shikui Zhao","orcid":"https://orcid.org/0000-0002-4702-5673"},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shikui Zhao","raw_affiliation_strings":["School of Mechanical Engineering, University of Jinan, Jinan, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Jinan, Jinan, People's Republic of China","institution_ids":["https://openalex.org/I34949971"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009893061","display_name":"Yue Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I34949971","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26","country_code":"CN","type":"education","lineage":["https://openalex.org/I34949971"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Meng","raw_affiliation_strings":["School of Mechanical Engineering, University of Jinan, Jinan, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, University of Jinan, Jinan, People's Republic of China","institution_ids":["https://openalex.org/I34949971"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5055443340"],"corresponding_institution_ids":["https://openalex.org/I34949971"],"apc_list":null,"apc_paid":null,"fwci":5.0034,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.9568595,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"58","issue":"9","first_page":"2604","last_page":"2625"},"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":0.9983000159263611,"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":0.9977999925613403,"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/bottleneck","display_name":"Bottleneck","score":0.8045770525932312},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.7116116285324097},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5475526452064514},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5438206791877747},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5101613998413086},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.47693556547164917},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4757922887802124},{"id":"https://openalex.org/keywords/genetic-algorithm","display_name":"Genetic algorithm","score":0.4232661724090576},{"id":"https://openalex.org/keywords/greedy-algorithm","display_name":"Greedy algorithm","score":0.4129772186279297},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18909242749214172}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8045770525932312},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.7116116285324097},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5475526452064514},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5438206791877747},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5101613998413086},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.47693556547164917},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4757922887802124},{"id":"https://openalex.org/C8880873","wikidata":"https://www.wikidata.org/wiki/Q187787","display_name":"Genetic algorithm","level":2,"score":0.4232661724090576},{"id":"https://openalex.org/C51823790","wikidata":"https://www.wikidata.org/wiki/Q504353","display_name":"Greedy algorithm","level":2,"score":0.4129772186279297},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18909242749214172},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","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},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2019.1622052","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2019.1622052","pdf_url":null,"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:58:y:2020:i:9:p:2604-2625","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2019.1622052","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":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G1612030910","display_name":null,"funder_award_id":"51405193","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4294815561","display_name":null,"funder_award_id":"51775240","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G681407117","display_name":null,"funder_award_id":"XKY1721","funder_id":"https://openalex.org/F4320322291","funder_display_name":"University of Jinan"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322291","display_name":"University of Jinan","ror":"https://ror.org/02mjz6f26"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1507363803","https://openalex.org/W1971611466","https://openalex.org/W1979011355","https://openalex.org/W1991044249","https://openalex.org/W2022192307","https://openalex.org/W2037932324","https://openalex.org/W2038521297","https://openalex.org/W2040449119","https://openalex.org/W2043588754","https://openalex.org/W2047278767","https://openalex.org/W2059887572","https://openalex.org/W2076138483","https://openalex.org/W2082699240","https://openalex.org/W2088304441","https://openalex.org/W2091639460","https://openalex.org/W2112046770","https://openalex.org/W2117647466","https://openalex.org/W2127894277","https://openalex.org/W2131113792","https://openalex.org/W2308892861","https://openalex.org/W2319407672","https://openalex.org/W2376953066","https://openalex.org/W2385995766","https://openalex.org/W2431833566","https://openalex.org/W2483479423","https://openalex.org/W2528210255","https://openalex.org/W2534506352","https://openalex.org/W2604506536","https://openalex.org/W2773680760","https://openalex.org/W2791379181","https://openalex.org/W2802291069","https://openalex.org/W2804274548","https://openalex.org/W3004732901","https://openalex.org/W3139323198","https://openalex.org/W4237781669","https://openalex.org/W4249850378"],"related_works":["https://openalex.org/W3183948672","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W2758277628","https://openalex.org/W1531601525","https://openalex.org/W2895982276","https://openalex.org/W2039885954","https://openalex.org/W2114062695"],"abstract_inverted_index":{"With":[0],"the":[1,4,26,59,78,92,107,132,141,145],"makespan":[2],"as":[3,89,91],"optimisation":[5],"goal,":[6],"we":[7],"propose":[8],"a":[9,38,51],"hybrid":[10],"solving":[11],"method":[12,76,94],"that":[13],"combines":[14],"improved":[15],"extended":[16,64],"shifting":[17],"bottleneck":[18,115,121],"procedure":[19],"(i-ESB)":[20],"and":[21,50,81,129,139],"genetic":[22,34],"algorithm":[23,35,100,134],"(GA)":[24],"for":[25,114],"assembly":[27],"job":[28],"shop":[29],"scheduling":[30,109],"problem":[31],"(AJSSP).":[32],"Hybrid":[33],"(HGA)":[36],"uses":[37],"GA":[39],"based":[40,54,84],"on":[41,55,85],"operation":[42,79],"constraint":[43],"chain":[44],"coding":[45],"to":[46,70,105],"achieve":[47],"global":[48],"search":[49,53],"local":[52],"an":[56,63],"i-ESB.":[57],"In":[58],"design":[60],"of":[61,77,95,131],"i-ESB,":[62],"disjunctive":[65],"graph":[66],"model":[67],"(EDG)":[68],"corresponding":[69],"AJSSP":[71],"is":[72,87,103,117,125],"presented.":[73],"The":[74,98,111,127],"calculation":[75],"head":[80],"tail":[82],"length":[83],"EDG":[86],"studied,":[88],"well":[90],"searching":[93],"key":[96],"operations.":[97],"Schrage":[99],"with":[101],"disturbance":[102],"used":[104],"solve":[106],"single-machine":[108],"subproblem.":[110],"selection":[112],"criterion":[113],"machines":[116],"increased.":[118],"A":[119],"greedy":[120],"machine":[122],"re-optimisation":[123],"process":[124],"designed.":[126],"effectiveness":[128],"superiority":[130],"proposed":[133],"are":[135],"verified":[136],"by":[137],"testing":[138],"analysing":[140],"relevant":[142],"examples":[143],"in":[144],"literature.":[146]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1},{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}