{"id":"https://openalex.org/W4407919617","doi":"https://doi.org/10.1016/j.procs.2025.01.179","title":"A Mixed Integer Programming model to optimize production planning in the luxury textile industry","display_name":"A Mixed Integer Programming model to optimize production planning in the luxury textile industry","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407919617","doi":"https://doi.org/10.1016/j.procs.2025.01.179"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2025.01.179","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.01.179","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2025.01.179","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5055230039","display_name":"Andrea Rossi","orcid":"https://orcid.org/0000-0001-7330-2358"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Andrea Rossi","raw_affiliation_strings":["University of Perugia, via Goffredo Duranti 97, Perugia 06125, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Perugia, via Goffredo Duranti 97, Perugia 06125, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049970498","display_name":"Lorenzo Tiacci","orcid":"https://orcid.org/0000-0002-5698-2125"},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Lorenzo Tiacci","raw_affiliation_strings":["University of Perugia, via Goffredo Duranti 97, Perugia 06125, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Perugia, via Goffredo Duranti 97, Perugia 06125, Italy","institution_ids":["https://openalex.org/I27483092"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5116413593","display_name":"Matteo Simonetti","orcid":null},"institutions":[{"id":"https://openalex.org/I27483092","display_name":"University of Perugia","ror":"https://ror.org/00x27da85","country_code":"IT","type":"education","lineage":["https://openalex.org/I27483092"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Matteo Simonetti","raw_affiliation_strings":["University of Perugia, via Goffredo Duranti 97, Perugia 06125, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Perugia, via Goffredo Duranti 97, Perugia 06125, Italy","institution_ids":["https://openalex.org/I27483092"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5049970498","https://openalex.org/A5055230039","https://openalex.org/A5116413593"],"corresponding_institution_ids":["https://openalex.org/I27483092"],"apc_list":null,"apc_paid":null,"fwci":10.2614,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.98001559,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"253","issue":null,"first_page":"1175","last_page":"1184"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9984999895095825,"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":0.9984999895095825,"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/T12176","display_name":"Optimization and Packing Problems","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/T13886","display_name":"Operations Management Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8284907341003418},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.7028814554214478},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.6158570051193237},{"id":"https://openalex.org/keywords/textile-industry","display_name":"Textile industry","score":0.585845947265625},{"id":"https://openalex.org/keywords/production-planning","display_name":"Production planning","score":0.5644424557685852},{"id":"https://openalex.org/keywords/textile","display_name":"Textile","score":0.42262890934944153},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3777843117713928},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.3344440460205078},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.159100741147995},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08333569765090942},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.07181304693222046}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8284907341003418},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.7028814554214478},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.6158570051193237},{"id":"https://openalex.org/C518936366","wikidata":"https://www.wikidata.org/wiki/Q607081","display_name":"Textile industry","level":2,"score":0.585845947265625},{"id":"https://openalex.org/C2777909354","wikidata":"https://www.wikidata.org/wiki/Q1386523","display_name":"Production planning","level":3,"score":0.5644424557685852},{"id":"https://openalex.org/C164767435","wikidata":"https://www.wikidata.org/wiki/Q28823","display_name":"Textile","level":2,"score":0.42262890934944153},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3777843117713928},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.3344440460205078},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.159100741147995},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08333569765090942},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.07181304693222046},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1016/j.procs.2025.01.179","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.01.179","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2025.01.179","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2025.01.179","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.41999998688697815,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W1565059248","https://openalex.org/W1967576324","https://openalex.org/W2018638478","https://openalex.org/W2143630882","https://openalex.org/W2158808955","https://openalex.org/W2165314203","https://openalex.org/W2171177269","https://openalex.org/W2260817482","https://openalex.org/W2268081543","https://openalex.org/W2442439325","https://openalex.org/W2945526390","https://openalex.org/W2959048647","https://openalex.org/W3017204429","https://openalex.org/W3111460014","https://openalex.org/W4236159397","https://openalex.org/W4372286475","https://openalex.org/W4386808089","https://openalex.org/W4389410547"],"related_works":["https://openalex.org/W2350299981","https://openalex.org/W2032045337","https://openalex.org/W4280488878","https://openalex.org/W4401489457","https://openalex.org/W319539420","https://openalex.org/W2321050056","https://openalex.org/W4401843169","https://openalex.org/W2386318395","https://openalex.org/W190105466","https://openalex.org/W2461184618"],"abstract_inverted_index":{"The":[0,75,152],"fashion":[1,183],"clothing":[2],"apparel":[3],"sector":[4],"operates":[5],"in":[6,14,26,38,60,200,208],"a":[7,68,109,136,159,182,201,209,217],"dynamic":[8],"environment,":[9],"subject":[10],"to":[11,54,67,71,104,135,214],"seasonal":[12],"changes":[13],"the":[15,32,35,39,43,56,61,79,87,91,95,106,120,125,128,140,147,168,171,187,191,196,204,221],"collection.":[16],"There":[17],"are":[18,133],"at":[19],"least":[20],"two":[21],"collection":[22,33],"every":[23],"year,":[24],"consisting":[25],"tight":[27],"windows":[28],"for":[29,46,108],"production.":[30,74],"Moreover,":[31],"of":[34,86,93,122,130,170,181,203,212],"orders":[36],"happens":[37],"sales":[40],"campaign,":[41],"so":[42],"time":[44],"allotted":[45],"production":[47,57,83,96,112,179,205],"is":[48,52,117,175],"low":[49],"and":[50,127,149,161,185,207],"it":[51],"important":[53],"optimize":[55],"planning.":[58,97],"Furthermore,":[59],"textile":[62],"industry,":[63,89],"companies":[64],"often":[65],"resort":[66],"subcontracting":[69],"network":[70],"carry":[72],"out":[73],"present":[76],"work":[77],"tackles":[78],"fully":[80],"fashioned":[81],"knitwear":[82],"process,":[84],"typical":[85],"luxury":[88],"with":[90,114,119,190],"objective":[92,121],"optimizing":[94],"A":[98],"novel":[99],"Mixed":[100],"Integer":[101],"Programming":[102],"(MIP)":[103],"address":[105],"scheduling":[107],"multi-stage,":[110],"multi-site":[111],"system":[113],"batch":[115],"processing":[116],"presented":[118],"minimizing":[123],"both":[124,156],"makespan":[126,206],"number":[129],"models":[131],"that":[132],"assigned":[134],"different":[137],"manufacturer":[138],"than":[139],"one":[141],"who":[142],"realized":[143],"their":[144],"samples":[145],"during":[146],"prototyping":[148],"sampling":[150],"phase.":[151],"proposed":[153],"model":[154,172],"can":[155],"operate":[157],"as":[158,162],"scheduler":[160],"decision":[163],"support":[164],"tool.":[165],"To":[166],"validate":[167],"effectiveness":[169],"an":[173],"experiment":[174],"conducted":[176],"utilizing":[177],"real":[178],"data":[180],"company":[184,222],"comparing":[186],"result":[188],"obtained":[189],"operative":[192],"planning":[193],"adopted":[194],"by":[195],"company.":[197],"Results":[198],"consist":[199],"reduction":[202],"better":[210],"assignment":[211],"item":[213],"manufacturers,":[215],"representing":[216],"great":[218],"improvement":[219],"from":[220],"scheduling.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2}],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
