{"id":"https://openalex.org/W2999440603","doi":"https://doi.org/10.1109/apccas47518.2019.8953154","title":"ABC Classification in Spare Parts for Inventory Management using Ensemble Techniques","display_name":"ABC Classification in Spare Parts for Inventory Management using Ensemble Techniques","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W2999440603","doi":"https://doi.org/10.1109/apccas47518.2019.8953154","mag":"2999440603"},"language":"en","primary_location":{"id":"doi:10.1109/apccas47518.2019.8953154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas47518.2019.8953154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","raw_type":"proceedings-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/A5020823042","display_name":"Wanthanee Prachuabsupakij","orcid":null},"institutions":[{"id":"https://openalex.org/I82828225","display_name":"King Mongkut's University of Technology North Bangkok","ror":"https://ror.org/04fy6jb97","country_code":"TH","type":"education","lineage":["https://openalex.org/I82828225"]}],"countries":["TH"],"is_corresponding":true,"raw_author_name":"Wanthanee Prachuabsupakij","raw_affiliation_strings":["Department of Information Technology, Faculty of Industrial Technology and Management, King Mongkut's University of Technology North Bangkok, Prachin-buri, Thailand"],"affiliations":[{"raw_affiliation_string":"Department of Information Technology, Faculty of Industrial Technology and Management, King Mongkut's University of Technology North Bangkok, Prachin-buri, Thailand","institution_ids":["https://openalex.org/I82828225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5020823042"],"corresponding_institution_ids":["https://openalex.org/I82828225"],"apc_list":null,"apc_paid":null,"fwci":0.4124,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70186517,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"5","issue":null,"first_page":"333","last_page":"336"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9815999865531921,"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"}},"topics":[{"id":"https://openalex.org/T11918","display_name":"Forecasting Techniques and Applications","score":0.9815999865531921,"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"}},{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9725000262260437,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"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":0.7073456645011902},{"id":"https://openalex.org/keywords/spare-part","display_name":"Spare part","score":0.6940526366233826},{"id":"https://openalex.org/keywords/categorization","display_name":"Categorization","score":0.6588431000709534},{"id":"https://openalex.org/keywords/inventory-management","display_name":"Inventory management","score":0.6560658812522888},{"id":"https://openalex.org/keywords/abc-analysis","display_name":"ABC analysis","score":0.5475961565971375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4908181130886078},{"id":"https://openalex.org/keywords/factory","display_name":"Factory (object-oriented programming)","score":0.4656532406806946},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.44838640093803406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3897012174129486},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.15890687704086304},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1152152419090271}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7073456645011902},{"id":"https://openalex.org/C194648553","wikidata":"https://www.wikidata.org/wiki/Q1364774","display_name":"Spare part","level":2,"score":0.6940526366233826},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.6588431000709534},{"id":"https://openalex.org/C3018434026","wikidata":"https://www.wikidata.org/wiki/Q3761396","display_name":"Inventory management","level":2,"score":0.6560658812522888},{"id":"https://openalex.org/C2780235804","wikidata":"https://www.wikidata.org/wiki/Q1166086","display_name":"ABC analysis","level":3,"score":0.5475961565971375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4908181130886078},{"id":"https://openalex.org/C40149104","wikidata":"https://www.wikidata.org/wiki/Q5620977","display_name":"Factory (object-oriented programming)","level":2,"score":0.4656532406806946},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44838640093803406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3897012174129486},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.15890687704086304},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1152152419090271},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/apccas47518.2019.8953154","is_oa":false,"landing_page_url":"https://doi.org/10.1109/apccas47518.2019.8953154","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Asia Pacific Conference on Circuits and Systems (APCCAS)","raw_type":"proceedings-article"},{"id":"mag:3041389014","is_oa":false,"landing_page_url":"https://jglobal.jst.go.jp/en/detail?JGLOBAL_ID=202002216132560211","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W34736321","https://openalex.org/W79770760","https://openalex.org/W1485562657","https://openalex.org/W1980960373","https://openalex.org/W2043806097","https://openalex.org/W2626938750","https://openalex.org/W2763279802","https://openalex.org/W2895124230","https://openalex.org/W2911048623","https://openalex.org/W2945727743","https://openalex.org/W3112853042"],"related_works":["https://openalex.org/W2392103165","https://openalex.org/W2358114934","https://openalex.org/W2373838010","https://openalex.org/W2368363143","https://openalex.org/W841127390","https://openalex.org/W2363007831","https://openalex.org/W2350657872","https://openalex.org/W2343375394","https://openalex.org/W2001381864","https://openalex.org/W2386124373"],"abstract_inverted_index":{"The":[0,52,73,89],"aim":[1],"of":[2,27,50,63,91,113],"this":[3,92],"work":[4],"is":[5,31,75],"to":[6,17,121],"present":[7],"the":[8,48,61,107,122,126],"data":[9,53],"mining":[10],"techniques":[11,81,97],"for":[12,98,103,125],"classifying":[13,100],"stock":[14],"keeping":[15],"units":[16],"ABC":[18,29,101],"classification":[19],"in":[20,24,60],"spare":[21],"parts":[22],"warehouse":[23],"a":[25],"factory":[26],"Thailand.":[28],"analysis":[30],"an":[32],"\u201cinventory":[33],"categorization":[34,102],"method\u201d":[35],"that":[36,117],"divide":[37],"items":[38],"into":[39,96],"three":[40],"categories":[41],"(A,":[42],"B,":[43],"and":[44,70,87,111],"C),":[45],"which":[46],"are":[47],"label":[49],"data.":[51],"were":[54,66],"collected":[55],"from":[56],"SAP":[57],"inventory":[58,104,123],"management":[59],"year":[62],"2015-2019.":[64],"There":[65],"totally":[67],"21,222":[68],"instances":[69],"28":[71],"attributes.":[72],"dataset":[74],"processed":[76],"with":[77],"five":[78,114],"popular":[79],"ensembles":[80],"including":[82],"Randomforest,":[83],"Bagging,":[84],"Adaboost,":[85],"Dagging":[86],"Decorate.":[88],"results":[90],"study":[93],"give":[94],"insight":[95],"accurately":[99],"management,":[105],"compare":[106],"precision,":[108],"recall,":[109],"f-measure":[110],"accuracy":[112],"ensemble":[115],"algorithms":[116],"can":[118],"be":[119],"deployed":[120],"process":[124],"factory.":[127]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
