{"id":"https://openalex.org/W2078605389","doi":"https://doi.org/10.1108/02635571211264618","title":"Enhancing product quality of a process","display_name":"Enhancing product quality of a process","publication_year":2012,"publication_date":"2012-08-24","ids":{"openalex":"https://openalex.org/W2078605389","doi":"https://doi.org/10.1108/02635571211264618","mag":"2078605389"},"language":"en","primary_location":{"id":"doi:10.1108/02635571211264618","is_oa":false,"landing_page_url":"https://doi.org/10.1108/02635571211264618","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management & Data Systems","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/A5110273336","display_name":"Cebrail \u00c7iflikli","orcid":null},"institutions":[{"id":"https://openalex.org/I87673952","display_name":"Erciyes University","ror":"https://ror.org/047g8vk19","country_code":"TR","type":"education","lineage":["https://openalex.org/I87673952"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Cebrail \u00c7iflikli","raw_affiliation_strings":["Kayseri Vocational College, Erciyes University, Kayseri, Turkey"],"affiliations":[{"raw_affiliation_string":"Kayseri Vocational College, Erciyes University, Kayseri, Turkey","institution_ids":["https://openalex.org/I87673952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014066476","display_name":"Esra Kahya \u00d6zyirmidokuz","orcid":"https://orcid.org/0000-0001-8255-1313"},"institutions":[{"id":"https://openalex.org/I87673952","display_name":"Erciyes University","ror":"https://ror.org/047g8vk19","country_code":"TR","type":"education","lineage":["https://openalex.org/I87673952"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Esra Kahya\u2010\u00d6zyirmidokuz","raw_affiliation_strings":["Kayseri Vocational College, Erciyes University, Kayseri, Turkey"],"affiliations":[{"raw_affiliation_string":"Kayseri Vocational College, Erciyes University, Kayseri, Turkey","institution_ids":["https://openalex.org/I87673952"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5110273336"],"corresponding_institution_ids":["https://openalex.org/I87673952"],"apc_list":null,"apc_paid":null,"fwci":5.5326,"has_fulltext":false,"cited_by_count":20,"citation_normalized_percentile":{"value":0.95237714,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"112","issue":"8","first_page":"1181","last_page":"1200"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9853000044822693,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9853000044822693,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9661999940872192,"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/T11063","display_name":"Rough Sets and Fuzzy Logic","score":0.958899974822998,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/computer-science","display_name":"Computer science","score":0.5964494347572327},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5707820653915405},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.5559155941009521},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4811486005783081},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.47233477234840393},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.4667779505252838},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4552927315235138},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.4536707401275635},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.41403764486312866},{"id":"https://openalex.org/keywords/originality","display_name":"Originality","score":0.4120878577232361},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31823354959487915},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10659188032150269}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5964494347572327},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5707820653915405},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.5559155941009521},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4811486005783081},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.47233477234840393},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.4667779505252838},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4552927315235138},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.4536707401275635},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.41403764486312866},{"id":"https://openalex.org/C2776950860","wikidata":"https://www.wikidata.org/wiki/Q2914681","display_name":"Originality","level":3,"score":0.4120878577232361},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31823354959487915},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10659188032150269},{"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/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1108/02635571211264618","is_oa":false,"landing_page_url":"https://doi.org/10.1108/02635571211264618","pdf_url":null,"source":{"id":"https://openalex.org/S37320504","display_name":"Industrial Management & Data Systems","issn_l":"0263-5577","issn":["0263-5577","1758-5783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319811","host_organization_name":"Emerald Publishing Limited","host_organization_lineage":["https://openalex.org/P4310319811"],"host_organization_lineage_names":["Emerald Publishing Limited"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Industrial Management & Data Systems","raw_type":"journal-article"},{"id":"pmh:0c3c1bf5-df65-4711-b812-9c8efa5ee979","is_oa":false,"landing_page_url":"https://avesis.kayseri.edu.tr/publication/details/0c3c1bf5-df65-4711-b812-9c8efa5ee979/oai","pdf_url":null,"source":{"id":"https://openalex.org/S7407055337","display_name":"Kayseri University - Avesis","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W39728044","https://openalex.org/W116038445","https://openalex.org/W118679436","https://openalex.org/W302878722","https://openalex.org/W576423133","https://openalex.org/W648794558","https://openalex.org/W1486069281","https://openalex.org/W1495627721","https://openalex.org/W1503025338","https://openalex.org/W1507376516","https://openalex.org/W1508701346","https://openalex.org/W1546647560","https://openalex.org/W1557923305","https://openalex.org/W1570713908","https://openalex.org/W1673075472","https://openalex.org/W1972942563","https://openalex.org/W1976290748","https://openalex.org/W1980104855","https://openalex.org/W1980766341","https://openalex.org/W1995972921","https://openalex.org/W2002974299","https://openalex.org/W2003742853","https://openalex.org/W2012533078","https://openalex.org/W2019461366","https://openalex.org/W2023369697","https://openalex.org/W2037104952","https://openalex.org/W2038565708","https://openalex.org/W2045976178","https://openalex.org/W2060880752","https://openalex.org/W2067758275","https://openalex.org/W2069954116","https://openalex.org/W2071095161","https://openalex.org/W2071909685","https://openalex.org/W2084439920","https://openalex.org/W2086435977","https://openalex.org/W2094602490","https://openalex.org/W2097086691","https://openalex.org/W2099955651","https://openalex.org/W2114612288","https://openalex.org/W2134332934","https://openalex.org/W2140190241","https://openalex.org/W2143515036","https://openalex.org/W2168208711","https://openalex.org/W2182078421","https://openalex.org/W2305769589","https://openalex.org/W2475633103","https://openalex.org/W2497948805","https://openalex.org/W2604290247","https://openalex.org/W4206209869","https://openalex.org/W4232953319","https://openalex.org/W4246165039","https://openalex.org/W4285719527","https://openalex.org/W6604764069"],"related_works":["https://openalex.org/W2593155302","https://openalex.org/W2041415459","https://openalex.org/W2072812638","https://openalex.org/W3126095231","https://openalex.org/W2352855287","https://openalex.org/W2378906650","https://openalex.org/W2384288445","https://openalex.org/W2382526412","https://openalex.org/W4200071106","https://openalex.org/W2347474189"],"abstract_inverted_index":{"Purpose":[0],"Data":[1],"mining":[2],"(DM)":[3],"is":[4,24,140,209,224],"used":[5,147],"to":[6,25,33,148,193],"improve":[7],"the":[8,35,48,59,85,130,133,143,150,181,212,215,228],"performance":[9],"of":[10,21,37,50,61,110,152,183,201,214],"manufacturing":[11,51,83],"quality":[12,117],"control":[13],"activity,":[14],"and":[15,40,64,78,99,124,142,199],"reduces":[16],"productivity":[17,175],"loss.":[18],"The":[19,56,106,197,218],"purpose":[20],"this":[22,159,235],"paper":[23,57],"discover":[26],"useful":[27],"hidden":[28],"patterns":[29],"from":[30],"fabric":[31],"data":[32,202],"reduce":[34],"amount":[36],"defective":[38],"goods":[39],"increase":[41],"overall":[42],"quality.":[43],"Design/methodology/approach":[44],"This":[45,173,187],"research":[46,188],"examines":[47],"improvement":[49],"process":[52,134,223],"via":[53],"DM":[54,65],"techniques.":[55],"explores":[58],"use":[60],"different":[62,194],"preprocessing":[63],"techniques":[66],"(rough":[67],"sets":[68],"theory,":[69],"attribute":[70,216],"relevance":[71,207],"analysis,":[72,75],"anomaly":[73],"detection":[74],"decision":[76,121,125],"trees":[77],"rule":[79],"induction)":[80],"in":[81,115,132,221],"carpet":[82],"as":[84],"real":[86],"world":[87],"application":[88],"problem.":[89],"SPSS":[90],"Clementine":[91],"Programme,":[92],"Rosetta":[93],"Toolkit,":[94],"ASP":[95],"(Active":[96],"Server":[97],"Pages)":[98],"VBScript":[100],"programming":[101],"language":[102],"are":[103,113,118,127,135,146],"used.":[104,225],"Findings":[105],"most":[107],"important":[108],"variables":[109],"attributes":[111],"that":[112],"effective":[114],"product":[116],"determined.":[119],"A":[120],"tree":[122],"(DT)":[123],"rules":[126],"generated.":[128],"Therefore,":[129,165],"faults":[131],"detected.":[136],"An":[137],"on\u2010line":[138,233],"programme":[139],"generated":[141],"model's":[144],"results":[145],"ensure":[149],"prevention":[151],"faulty":[153],"products.":[154],"Research":[155],"limitations/implications":[156],"In":[157,226],"time,":[158],"model":[160],"will":[161],"lose":[162],"its":[163],"validity.":[164],"it":[166],"must":[167],"be":[168,177,191,231],"redeveloped":[169],"periodically.":[170],"Practical":[171],"implications":[172],"study's":[174],"can":[176,189,230],"increased":[178],"especially":[179],"with":[180,234],"help":[182],"artificial":[184],"intelligence":[185],"technology.":[186],"also":[190],"applied":[192],"industries.":[195],"Originality/value":[196],"size":[198],"complexity":[200],"make":[203],"extraction":[204],"difficult.":[205],"Attribute":[206],"analysis":[208],"proposed":[210],"for":[211],"selection":[213],"variables.":[217],"knowledge":[219],"discovery":[220],"databases":[222],"addition,":[227],"system":[229],"followed":[232],"interactive":[236],"ability.":[237]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":3},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":2}],"updated_date":"2026-03-04T09:10:02.777135","created_date":"2025-10-10T00:00:00"}