{"id":"https://openalex.org/W2056135666","doi":"https://doi.org/10.1080/00207720902974553","title":"A fuzzy-neural knowledge-based system for job completion time prediction and internal due date assignment in a wafer fabrication plant","display_name":"A fuzzy-neural knowledge-based system for job completion time prediction and internal due date assignment in a wafer fabrication plant","publication_year":2009,"publication_date":"2009-08-01","ids":{"openalex":"https://openalex.org/W2056135666","doi":"https://doi.org/10.1080/00207720902974553","mag":"2056135666"},"language":"en","primary_location":{"id":"doi:10.1080/00207720902974553","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207720902974553","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"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 Systems Science","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/A5037831741","display_name":"Toly Chen","orcid":"https://orcid.org/0000-0002-5608-5176"},"institutions":[{"id":"https://openalex.org/I4880106","display_name":"Feng Chia University","ror":"https://ror.org/05vhczg54","country_code":"TW","type":"education","lineage":["https://openalex.org/I4880106"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"T. Chen","raw_affiliation_strings":["Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung City, Taiwan","[Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung City, Taiwan]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung City, Taiwan","institution_ids":["https://openalex.org/I4880106"]},{"raw_affiliation_string":"[Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung City, Taiwan]","institution_ids":["https://openalex.org/I4880106"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5037831741"],"corresponding_institution_ids":["https://openalex.org/I4880106"],"apc_list":null,"apc_paid":null,"fwci":8.8758,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.97544189,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"40","issue":"8","first_page":"889","last_page":"902"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.994700014591217,"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/T10820","display_name":"Fuzzy Logic and Control Systems","score":0.994700014591217,"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/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.9793000221252441,"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":0.9778000116348267,"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/fuzzy-logic","display_name":"Fuzzy logic","score":0.58388751745224},{"id":"https://openalex.org/keywords/neuro-fuzzy","display_name":"Neuro-fuzzy","score":0.4848681390285492},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4697587490081787},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.408210426568985},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3675571084022522},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34810692071914673},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34737473726272583},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31505316495895386},{"id":"https://openalex.org/keywords/fuzzy-control-system","display_name":"Fuzzy control system","score":0.28361064195632935}],"concepts":[{"id":"https://openalex.org/C58166","wikidata":"https://www.wikidata.org/wiki/Q224821","display_name":"Fuzzy logic","level":2,"score":0.58388751745224},{"id":"https://openalex.org/C29470771","wikidata":"https://www.wikidata.org/wiki/Q4165150","display_name":"Neuro-fuzzy","level":4,"score":0.4848681390285492},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4697587490081787},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.408210426568985},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3675571084022522},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34810692071914673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34737473726272583},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31505316495895386},{"id":"https://openalex.org/C195975749","wikidata":"https://www.wikidata.org/wiki/Q1475705","display_name":"Fuzzy control system","level":3,"score":0.28361064195632935}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/00207720902974553","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207720902974553","pdf_url":null,"source":{"id":"https://openalex.org/S129640837","display_name":"International Journal of Systems Science","issn_l":"0020-7721","issn":["0020-7721","1464-5319"],"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 Systems Science","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6899999976158142,"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":20,"referenced_works":["https://openalex.org/W1549201462","https://openalex.org/W1963875752","https://openalex.org/W1994997349","https://openalex.org/W1996747841","https://openalex.org/W2002381556","https://openalex.org/W2005984945","https://openalex.org/W2017128157","https://openalex.org/W2023796999","https://openalex.org/W2023948527","https://openalex.org/W2026113649","https://openalex.org/W2037522254","https://openalex.org/W2043213102","https://openalex.org/W2047068633","https://openalex.org/W2056611606","https://openalex.org/W2058135872","https://openalex.org/W2065476942","https://openalex.org/W2069715036","https://openalex.org/W2072479006","https://openalex.org/W2115588043","https://openalex.org/W3030527407"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4224009465","https://openalex.org/W2339577462","https://openalex.org/W4306674287","https://openalex.org/W4286629047","https://openalex.org/W4205958290","https://openalex.org/W4384212932","https://openalex.org/W4390590544","https://openalex.org/W2096195258","https://openalex.org/W2990460313"],"abstract_inverted_index":{"To":[0],"further":[1],"enhance":[2,151],"the":[3,29,47,79,88,102,113,121,126,138,152,161,164,171,176],"performance":[4],"of":[5,50,104,125,163,180],"job":[6,181],"completion":[7,90,105],"time":[8,49,91,106,183],"prediction":[9,184],"and":[10,116,142,178,187],"internal":[11,122],"due":[12,123],"date":[13,124],"assignment":[14],"in":[15,25,98],"a":[16,19,51,72,94,130,145],"wafer":[17],"fab,":[18],"fuzzy-neural":[20],"knowledge-based":[21],"system":[22],"is":[23,76,84,134,157],"constructed":[24,30,135],"this":[26],"study.":[27],"In":[28],"system,":[31],"multiple":[32,38,55],"experts":[33],"construct":[34],"their":[35],"own":[36],"fuzzy":[37,54,82,89,96,110,140],"linear":[39,56],"regression":[40,57],"models":[41],"from":[42],"various":[43],"viewpoints":[44],"to":[45,68,86,100,136,143,150,159,168],"predict":[46],"completion/cycle":[48],"job.":[52,127],"Each":[53],"model":[58],"can":[59],"be":[60,69],"converted":[61],"into":[62,93],"an":[63],"equivalent":[64],"non-linear":[65],"programming":[66],"problem":[67],"solved.":[70],"Subsequently,":[71],"two-step":[73],"aggregation":[74],"mechanism":[75],"applied.":[77],"At":[78],"first":[80],"step,":[81],"intersection":[83],"applied":[85],"aggregate":[87],"forecasts":[92],"polygon-shaped":[95,109,139],"number,":[97],"order":[99],"improve":[101],"precision":[103,177],"forecasting.":[107],"The":[108],"number":[111,141],"contains":[112],"actual":[114],"value,":[115,147],"its":[117],"upper":[118],"bound":[119],"determines":[120],"After":[128],"that,":[129],"back":[131],"propagation":[132],"network":[133],"defuzzify":[137],"generate":[144],"representative/crisp":[146],"so":[148],"as":[149],"accuracy.":[153],"A":[154],"practical":[155],"example":[156],"used":[158],"evaluate":[160],"effectiveness":[162],"proposed":[165,172],"methodology.":[166],"According":[167],"experimental":[169],"results,":[170],"methodology":[173],"improved":[174],"both":[175],"accuracy":[179],"cycle":[182],"by":[185],"16":[186],"21%,":[188],"respectively.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":6},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":6},{"year":2012,"cited_by_count":9}],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}
