{"id":"https://openalex.org/W2782463066","doi":"https://doi.org/10.1080/00207543.2017.1414970","title":"Dynamic response to demand variability for precast production rescheduling with multiple lines","display_name":"Dynamic response to demand variability for precast production rescheduling with multiple lines","publication_year":2018,"publication_date":"2018-01-03","ids":{"openalex":"https://openalex.org/W2782463066","doi":"https://doi.org/10.1080/00207543.2017.1414970","mag":"2782463066"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2017.1414970","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2017.1414970","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/A5103196150","display_name":"Zhaojing Wang","orcid":"https://orcid.org/0000-0001-6705-6082"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhaojing Wang","raw_affiliation_strings":["Department of Transportation, Shipping and Logistics, Shanghai Jiao Tong University , Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Transportation, Shipping and Logistics, Shanghai Jiao Tong University , Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084214981","display_name":"Hao Hu","orcid":"https://orcid.org/0000-0002-1103-0243"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hao Hu","raw_affiliation_strings":["Department of Transportation, Shipping and Logistics, Shanghai Jiao Tong University , Shanghai, P.R. China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Transportation, Shipping and Logistics, Shanghai Jiao Tong University , Shanghai, P.R. China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5084214981"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":3.6495,"has_fulltext":false,"cited_by_count":58,"citation_normalized_percentile":{"value":0.93598361,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"56","issue":"16","first_page":"5386","last_page":"5401"},"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":0.9986000061035156,"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/T12782","display_name":"Assembly Line Balancing Optimization","score":0.9955000281333923,"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/precast-concrete","display_name":"Precast concrete","score":0.9216973185539246},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.6478360891342163},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4363096058368683},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3659104108810425},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3509367108345032},{"id":"https://openalex.org/keywords/civil-engineering","display_name":"Civil engineering","score":0.20109662413597107},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.15759426355361938},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.08935865759849548}],"concepts":[{"id":"https://openalex.org/C125450124","wikidata":"https://www.wikidata.org/wiki/Q831541","display_name":"Precast concrete","level":2,"score":0.9216973185539246},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.6478360891342163},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4363096058368683},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3659104108810425},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3509367108345032},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.20109662413597107},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.15759426355361938},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.08935865759849548}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2017.1414970","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2017.1414970","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:56:y:2018:i:16:p:5386-5401","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2017.1414970","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":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G1161954175","display_name":null,"funder_award_id":"14DZ1207101","funder_id":"https://openalex.org/F4320334813","funder_display_name":"Key Laboratory of Remote Measuring and Control, Jiangsu Province"}],"funders":[{"id":"https://openalex.org/F4320334813","display_name":"Key Laboratory of Remote Measuring and Control, Jiangsu Province","ror":"https://ror.org/04ct4d772"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W78044493","https://openalex.org/W1586313000","https://openalex.org/W1587100796","https://openalex.org/W1967055768","https://openalex.org/W1969334115","https://openalex.org/W1972049997","https://openalex.org/W1979009099","https://openalex.org/W1997046042","https://openalex.org/W2007676373","https://openalex.org/W2010578155","https://openalex.org/W2020669375","https://openalex.org/W2022060581","https://openalex.org/W2023735241","https://openalex.org/W2028569720","https://openalex.org/W2028575625","https://openalex.org/W2033308245","https://openalex.org/W2034469408","https://openalex.org/W2035265995","https://openalex.org/W2036487846","https://openalex.org/W2054145297","https://openalex.org/W2057769135","https://openalex.org/W2092732888","https://openalex.org/W2093107262","https://openalex.org/W2099235707","https://openalex.org/W2118246375","https://openalex.org/W2118371226","https://openalex.org/W2149027038","https://openalex.org/W2154168058","https://openalex.org/W2331740761","https://openalex.org/W2492252500","https://openalex.org/W2514760288","https://openalex.org/W2518954855","https://openalex.org/W2590563061","https://openalex.org/W2767385754","https://openalex.org/W2768634154","https://openalex.org/W2779022534","https://openalex.org/W3025279125","https://openalex.org/W4249989797","https://openalex.org/W4255355362"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4214875542","https://openalex.org/W2382955806","https://openalex.org/W648475852","https://openalex.org/W4298335583","https://openalex.org/W2032329706","https://openalex.org/W3041004952","https://openalex.org/W3166628289"],"abstract_inverted_index":{"Production":[0,49],"scheduling":[1,26],"plays":[2],"a":[3,43,101],"crucial":[4],"role":[5],"in":[6,36],"the":[7,24,33,58,66,109,138,144,157,164],"prefabricated":[8],"construction":[9],"productivity":[10],"and":[11,75,89,116,129,162],"on-time":[12,158],"delivery":[13,159],"of":[14,27,69,72,78,87,111,160],"precast":[15,139,166],"components":[16],"(PCs).":[17],"However,":[18],"previous":[19],"studies":[20],"mainly":[21],"focused":[22],"on":[23,62,81],"static":[25],"single":[28],"production":[29,41,52,73,98,140,151,167],"line":[30,74],"without":[31],"considering":[32],"demand":[34],"variability":[35],"practice.":[37],"To":[38],"achieve":[39],"dynamic":[40,147,165],"planning,":[42],"Two-level":[44],"Rescheduling":[45],"Model":[46],"for":[47],"Precast":[48],"with":[50,149],"multiple":[51,150],"lines":[53],"is":[54,105],"developed":[55],"to":[56,95,107,124,127,137],"minimise":[57],"rescheduling":[59,77,113,131,148],"costs":[60],"based":[61,80],"genetic":[63],"algorithm,":[64],"from":[65],"two":[67,85],"levels":[68],"(1)":[70],"selection":[71],"(2)":[76],"jobs":[79],"PCs\u2019":[82],"priority.":[83],"Further,":[84],"scenarios":[86],"different":[88],"shared":[90],"mould":[91],"types":[92],"are":[93,120],"investigated":[94],"represent":[96],"real-world":[97],"environments.":[99],"Finally,":[100],"real":[102],"case":[103],"study":[104],"conducted":[106],"test":[108],"validity":[110],"proposed":[112],"model.":[114],"58.1":[115],"48.5%":[117],"cost":[118],"savings":[119],"achieved":[121],"by":[122,142],"comparison":[123],"no":[125],"response":[126],"changes":[128],"heuristic":[130],"methods,":[132],"respectively.":[133],"This":[134],"research":[135],"contributes":[136],"theory":[141],"expanding":[143],"insight":[145],"into":[146],"lines.":[152],"The":[153],"methodology":[154],"will":[155],"promote":[156],"PCs":[161],"enhance":[163],"management.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
