{"id":"https://openalex.org/W2774313745","doi":"https://doi.org/10.1080/00207543.2017.1407883","title":"Product failure prediction with missing data","display_name":"Product failure prediction with missing data","publication_year":2017,"publication_date":"2017-11-29","ids":{"openalex":"https://openalex.org/W2774313745","doi":"https://doi.org/10.1080/00207543.2017.1407883","mag":"2774313745"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2017.1407883","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2017.1407883","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/A5010312084","display_name":"Seokho Kang","orcid":"https://orcid.org/0000-0002-0960-0294"},"institutions":[{"id":"https://openalex.org/I848706","display_name":"Sungkyunkwan University","ror":"https://ror.org/04q78tk20","country_code":"KR","type":"education","lineage":["https://openalex.org/I848706"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Seokho Kang","raw_affiliation_strings":["Department of Systems Management Engineering, Sungkyunkwan University , Suwon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Systems Management Engineering, Sungkyunkwan University , Suwon, Republic of Korea","institution_ids":["https://openalex.org/I848706"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319320","display_name":"Eunji Kim","orcid":"https://orcid.org/0000-0003-4857-521X"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Eunji Kim","raw_affiliation_strings":["Department of Industrial Engineering & Institute for Industrial Systems Innovation, Seoul National University , Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Institute for Industrial Systems Innovation, Seoul National University , Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5041040006","display_name":"Jaewoong Shim","orcid":"https://orcid.org/0000-0001-8279-7137"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jaewoong Shim","raw_affiliation_strings":["Department of Industrial Engineering & Institute for Industrial Systems Innovation, Seoul National University , Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Institute for Industrial Systems Innovation, Seoul National University , Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031729653","display_name":"Wonsang Chang","orcid":null},"institutions":[{"id":"https://openalex.org/I2250650973","display_name":"Samsung (South Korea)","ror":"https://ror.org/04w3jy968","country_code":"KR","type":"company","lineage":["https://openalex.org/I2250650973"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Wonsang Chang","raw_affiliation_strings":["Global Technology Center, Samsung Electronics Co. Ltd. , Suwon, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Global Technology Center, Samsung Electronics Co. Ltd. , Suwon, Republic of Korea","institution_ids":["https://openalex.org/I2250650973"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017305201","display_name":"Sungzoon Cho","orcid":"https://orcid.org/0000-0002-1695-1973"},"institutions":[{"id":"https://openalex.org/I139264467","display_name":"Seoul National University","ror":"https://ror.org/04h9pn542","country_code":"KR","type":"education","lineage":["https://openalex.org/I139264467"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Sungzoon Cho","raw_affiliation_strings":["Department of Industrial Engineering & Institute for Industrial Systems Innovation, Seoul National University , Seoul, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering & Institute for Industrial Systems Innovation, Seoul National University , Seoul, Republic of Korea","institution_ids":["https://openalex.org/I139264467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5017305201"],"corresponding_institution_ids":["https://openalex.org/I139264467"],"apc_list":null,"apc_paid":null,"fwci":1.0394,"has_fulltext":false,"cited_by_count":25,"citation_normalized_percentile":{"value":0.83896798,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"56","issue":"14","first_page":"4849","last_page":"4859"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9955999851226807,"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"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9955999851226807,"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":0.991100013256073,"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"}},{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9869999885559082,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.9256670475006104},{"id":"https://openalex.org/keywords/imputation","display_name":"Imputation (statistics)","score":0.8318313360214233},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6557856202125549},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5683376789093018},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.4899095892906189},{"id":"https://openalex.org/keywords/predictive-modelling","display_name":"Predictive modelling","score":0.461734414100647},{"id":"https://openalex.org/keywords/production","display_name":"Production (economics)","score":0.4197680354118347},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41973716020584106},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24018234014511108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.21806123852729797}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.9256670475006104},{"id":"https://openalex.org/C58041806","wikidata":"https://www.wikidata.org/wiki/Q1660484","display_name":"Imputation (statistics)","level":3,"score":0.8318313360214233},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6557856202125549},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5683376789093018},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4899095892906189},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.461734414100647},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.4197680354118347},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41973716020584106},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24018234014511108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.21806123852729797},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1080/00207543.2017.1407883","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2017.1407883","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:14:p:4849-4859","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2017.1407883","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"},{"id":"pmh:oai:s-space.snu.ac.kr:10371/150259","is_oa":false,"landing_page_url":"https://hdl.handle.net/10371/150259","pdf_url":null,"source":{"id":"https://openalex.org/S4306401345","display_name":"Seoul National University Open Repository (Seoul National University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I139264467","host_organization_name":"Seoul National University","host_organization_lineage":["https://openalex.org/I139264467"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5604486752","display_name":null,"funder_award_id":"NRF-2017R1C1B5075685","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W57782886","https://openalex.org/W1512728068","https://openalex.org/W1515802933","https://openalex.org/W1519775745","https://openalex.org/W1571313647","https://openalex.org/W1598553907","https://openalex.org/W1841820628","https://openalex.org/W1964888768","https://openalex.org/W1983479840","https://openalex.org/W1985419027","https://openalex.org/W1992799606","https://openalex.org/W2014947617","https://openalex.org/W2023369697","https://openalex.org/W2024101422","https://openalex.org/W2028549589","https://openalex.org/W2044758663","https://openalex.org/W2045240677","https://openalex.org/W2055763394","https://openalex.org/W2069954116","https://openalex.org/W2071909685","https://openalex.org/W2082026549","https://openalex.org/W2086435977","https://openalex.org/W2117431906","https://openalex.org/W2118978333","https://openalex.org/W2119253710","https://openalex.org/W2121774582","https://openalex.org/W2123170466","https://openalex.org/W2134726980","https://openalex.org/W2142959524","https://openalex.org/W2143515036","https://openalex.org/W2146332392","https://openalex.org/W2155653793","https://openalex.org/W2157825442","https://openalex.org/W2159798994","https://openalex.org/W2162210260","https://openalex.org/W2162772535","https://openalex.org/W2167546040","https://openalex.org/W2265219777","https://openalex.org/W2287430272","https://openalex.org/W2345074982","https://openalex.org/W2480680997","https://openalex.org/W2559748060","https://openalex.org/W2586757676","https://openalex.org/W2590542424","https://openalex.org/W2738203875","https://openalex.org/W4247245376"],"related_works":["https://openalex.org/W2181530120","https://openalex.org/W4211215373","https://openalex.org/W2024529227","https://openalex.org/W1574575415","https://openalex.org/W3144172081","https://openalex.org/W3179858851","https://openalex.org/W3028371478","https://openalex.org/W2081476516","https://openalex.org/W2581984549","https://openalex.org/W3123177881"],"abstract_inverted_index":{"In":[0],"production":[1,63,94],"data,":[2,64],"missing":[3,47,67,70,87,134],"values":[4],"commonly":[5],"appear":[6],"for":[7,46,83,130],"several":[8],"reasons":[9],"including":[10,65],"changes":[11],"in":[12,41,62],"measurement":[13],"and":[14,19,53,71,119],"inspection":[15],"items,":[16],"sampling":[17],"inspections,":[18],"unexpected":[20],"process":[21],"events.":[22],"When":[23],"applied":[24],"to":[25,37,127],"product":[26],"failure":[27],"prediction,":[28],"the":[29,91,108,138,141],"incompleteness":[30],"of":[31,93,112,117,140],"data":[32,48,88,104],"should":[33],"be":[34],"properly":[35],"addressed":[36],"avoid":[38],"performance":[39],"degradation":[40],"prediction":[42,99],"models.":[43],"Well-known":[44],"approaches":[45],"treatment,":[49],"such":[50],"as":[51],"elimination":[52],"imputation,":[54],"would":[55],"not":[56],"perform":[57],"well":[58],"under":[59],"usual":[60],"scenarios":[61],"high":[66],"rate,":[68],"systematic":[69],"class":[72],"imbalance.":[73],"To":[74],"address":[75],"these":[76],"limitations,":[77],"here":[78],"we":[79],"present":[80],"a":[81,145,152],"method":[82,143],"predictive":[84],"modelling":[85],"with":[86,133],"by":[89],"considering":[90],"characteristics":[92],"data.":[95],"It":[96],"builds":[97],"multiple":[98],"models":[100,123],"on":[101],"different":[102,115],"complete":[103],"subsets":[105],"derived":[106],"from":[107,151],"original":[109],"data-set,":[110],"each":[111],"which":[113],"has":[114],"coverage":[116],"instances":[118,132],"input":[120],"variables.":[121],"These":[122],"are":[124],"selectively":[125],"used":[126],"make":[128],"predictions":[129],"new":[131],"values.":[135],"We":[136],"demonstrate":[137],"effectiveness":[139],"proposed":[142],"through":[144],"case":[146],"study":[147],"using":[148],"actual":[149],"data-sets":[150],"home":[153],"appliance":[154],"manufacturer.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
