{"id":"https://openalex.org/W4414477979","doi":"https://doi.org/10.1080/00207543.2025.2559135","title":"Optimizing washing machine production at Vestel: a matheuristic approach to planning and scheduling","display_name":"Optimizing washing machine production at Vestel: a matheuristic approach to planning and scheduling","publication_year":2025,"publication_date":"2025-09-24","ids":{"openalex":"https://openalex.org/W4414477979","doi":"https://doi.org/10.1080/00207543.2025.2559135"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2025.2559135","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2025.2559135","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/A5023173727","display_name":"Seyed Amin Seyfi-Shishavan","orcid":"https://orcid.org/0000-0001-8956-7553"},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Seyed Amin Seyfi","raw_affiliation_strings":["\u00d6zye\u011fin University"],"raw_orcid":"https://orcid.org/0000-0001-8956-7553","affiliations":[{"raw_affiliation_string":"\u00d6zye\u011fin University","institution_ids":["https://openalex.org/I44925452"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077565920","display_name":"\u0130hsan Yan\u0131ko\u011flu","orcid":"https://orcid.org/0000-0002-7216-4739"},"institutions":[{"id":"https://openalex.org/I44925452","display_name":"\u00d6zye\u011fin University","ror":"https://ror.org/01jjhfr75","country_code":"TR","type":"education","lineage":["https://openalex.org/I44925452"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u0130hsan Yan\u0131ko\u011flu","raw_affiliation_strings":["\u00d6zye\u011fin University"],"raw_orcid":"https://orcid.org/0000-0002-7216-4739","affiliations":[{"raw_affiliation_string":"\u00d6zye\u011fin University","institution_ids":["https://openalex.org/I44925452"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5023173727"],"corresponding_institution_ids":["https://openalex.org/I44925452"],"apc_list":null,"apc_paid":null,"fwci":0.7777,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.77971135,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"64","issue":"3","first_page":"839","last_page":"871"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9991000294685364,"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":0.9991000294685364,"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":0.9955000281333923,"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"}},{"id":"https://openalex.org/T12782","display_name":"Assembly Line Balancing Optimization","score":0.989300012588501,"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/scheduling","display_name":"Scheduling (production processes)","score":0.6697999835014343},{"id":"https://openalex.org/keywords/production-planning","display_name":"Production planning","score":0.5419999957084656},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4474000036716461},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.4244999885559082},{"id":"https://openalex.org/keywords/operation-planning","display_name":"Operation planning","score":0.34150001406669617}],"concepts":[{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6697999835014343},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6327000260353088},{"id":"https://openalex.org/C2777909354","wikidata":"https://www.wikidata.org/wiki/Q1386523","display_name":"Production planning","level":3,"score":0.5419999957084656},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.45899999141693115},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.4244999885559082},{"id":"https://openalex.org/C3017985614","wikidata":"https://www.wikidata.org/wiki/Q149377","display_name":"Operation planning","level":2,"score":0.34150001406669617},{"id":"https://openalex.org/C2780271269","wikidata":"https://www.wikidata.org/wiki/Q19295956","display_name":"Single-machine scheduling","level":4,"score":0.2824000120162964},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.2632000148296356},{"id":"https://openalex.org/C135909481","wikidata":"https://www.wikidata.org/wiki/Q17092930","display_name":"Production manager","level":3,"score":0.260699987411499},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.25859999656677246},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2025.2559135","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2025.2559135","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:eresearch.ozyegin.edu.tr:10679/11071","is_oa":false,"landing_page_url":"https://hdl.handle.net/10679/11071","pdf_url":null,"source":null,"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":[],"awards":[{"id":"https://openalex.org/G1969162896","display_name":null,"funder_award_id":"119C142","funder_id":"https://openalex.org/F4320322626","funder_display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu"}],"funders":[{"id":"https://openalex.org/F4320322626","display_name":"T\u00fcrkiye Bilimsel ve Teknolojik Ara\u015ft\u0131rma Kurumu","ror":"https://ror.org/04w9kkr77"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W5113937","https://openalex.org/W1676075957","https://openalex.org/W1696146724","https://openalex.org/W1974954216","https://openalex.org/W1975890106","https://openalex.org/W1981763621","https://openalex.org/W1988303826","https://openalex.org/W1991136171","https://openalex.org/W1993245676","https://openalex.org/W2000051282","https://openalex.org/W2005090806","https://openalex.org/W2006004042","https://openalex.org/W2007797237","https://openalex.org/W2014119048","https://openalex.org/W2016104898","https://openalex.org/W2022025030","https://openalex.org/W2030749472","https://openalex.org/W2030794982","https://openalex.org/W2045376025","https://openalex.org/W2059277541","https://openalex.org/W2060033351","https://openalex.org/W2060398366","https://openalex.org/W2065608948","https://openalex.org/W2071658580","https://openalex.org/W2081827952","https://openalex.org/W2089578377","https://openalex.org/W2126618569","https://openalex.org/W2132789253","https://openalex.org/W2141800752","https://openalex.org/W2146219471","https://openalex.org/W2150049961","https://openalex.org/W2155900361","https://openalex.org/W2157793635","https://openalex.org/W2172373826","https://openalex.org/W2285365016","https://openalex.org/W2490581532","https://openalex.org/W2594404534","https://openalex.org/W2735683852","https://openalex.org/W2752889289","https://openalex.org/W2769830667","https://openalex.org/W2774515702","https://openalex.org/W2780823220","https://openalex.org/W2890664366","https://openalex.org/W2903981941","https://openalex.org/W2922918503","https://openalex.org/W2938093417","https://openalex.org/W2953137280","https://openalex.org/W2954842307","https://openalex.org/W2999701736","https://openalex.org/W3000095362","https://openalex.org/W3000793732","https://openalex.org/W3009949419","https://openalex.org/W3011380938","https://openalex.org/W3045840307","https://openalex.org/W3083482757","https://openalex.org/W3102124631","https://openalex.org/W3129267066","https://openalex.org/W3138447127","https://openalex.org/W3149189992","https://openalex.org/W3201815512","https://openalex.org/W3204710995","https://openalex.org/W3209895896","https://openalex.org/W3213593656","https://openalex.org/W3213690588","https://openalex.org/W4200105187","https://openalex.org/W4206503662","https://openalex.org/W4210714644","https://openalex.org/W4213244303","https://openalex.org/W4220739010","https://openalex.org/W4307685729","https://openalex.org/W4312792572","https://openalex.org/W4312890153","https://openalex.org/W4327973085","https://openalex.org/W4367310615","https://openalex.org/W4386457447","https://openalex.org/W4387701964","https://openalex.org/W4389086237","https://openalex.org/W4389727045","https://openalex.org/W4393136862","https://openalex.org/W4396621382"],"related_works":[],"abstract_inverted_index":{"This":[0],"research":[1],"presents":[2],"an":[3,94],"optimisation":[4],"framework,":[5],"developed":[6],"with":[7,134],"Vestel,":[8],"a":[9,40,74,105,138,145],"prominent":[10],"white":[11],"goods":[12],"manufacturer,":[13],"to":[14,44,57,122,127,155],"enhance":[15],"production":[16,193],"planning":[17,38,96,194],"in":[18,196],"their":[19],"washing":[20],"machine":[21,32],"factory.":[22],"The":[23,109],"proposed":[24,118],"model":[25,188],"simultaneously":[26],"optimises":[27],"decisions":[28],"on":[29,99],"lot":[30],"sizing,":[31],"scheduling,":[33],"shift":[34,55],"assignments,":[35],"and":[36,54,177,189],"workforce":[37],"over":[39],"multi-period":[41],"horizon,":[42],"subject":[43],"constraints":[45],"such":[46],"as":[47,104],"machine\u2013part":[48],"compatibility,":[49],"setup":[50],"times,":[51,85],"capacity":[52],"limits,":[53],"regulations,":[56],"minimise":[58],"total":[59,135],"cost":[60,124],"while":[61,131],"meeting":[62],"demand.":[63],"To":[64],"address":[65],"the":[66,70,112,117,128,150,162,182,186],"computational":[67,175],"complexity":[68],"of":[69,89,111,141,185],"problem,":[71],"we":[72],"develop":[73],"tailored":[75],"matheuristic":[76,163,190],"algorithm":[77],"that":[78,116],"yields":[79],"near-optimal":[80],"solutions":[81,133,158,168],"within":[82,137],"practical":[83,183],"computation":[84],"enabling":[86],"efficient":[87],"solution":[88],"large-scale":[90],"instances.":[91],"In":[92],"addition,":[93],"industry-inspired":[95],"heuristic":[97],"based":[98],"Vestel's":[100],"practice":[101],"is":[102],"implemented":[103],"baseline":[106],"for":[107,159,191],"benchmarking.":[108],"results":[110],"case":[113],"study":[114],"demonstrate":[115],"approach":[119],"achieves":[120],"up":[121],"19%":[123],"savings":[125],"compared":[126],"Vestel-inspired":[129],"heuristic,":[130],"delivering":[132],"costs":[136],"few":[139],"percent":[140],"those":[142],"obtained":[143],"by":[144],"commercial":[146],"solver.":[147],"Moreover,":[148],"unlike":[149],"solver,":[151],"which":[152],"frequently":[153],"fails":[154],"return":[156],"feasible":[157],"longer":[160],"horizons,":[161],"reliably":[164],"generates":[165],"high":[166],"quality":[167],"across":[169],"tested":[170],"dimensions,":[171],"underscoring":[172],"both":[173],"its":[174],"efficiency":[176],"scalability.":[178],"These":[179],"findings":[180],"highlight":[181],"applicability":[184],"integrated":[187],"complex":[192],"problems":[195],"industrial":[197],"settings.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-06-15T08:34:33.830935","created_date":"2025-10-10T00:00:00"}