{"id":"https://openalex.org/W2538706963","doi":"https://doi.org/10.1080/00207543.2016.1244360","title":"Developing a variables multiple dependent state sampling plan with simultaneous consideration of process yield and quality loss","display_name":"Developing a variables multiple dependent state sampling plan with simultaneous consideration of process yield and quality loss","publication_year":2016,"publication_date":"2016-10-18","ids":{"openalex":"https://openalex.org/W2538706963","doi":"https://doi.org/10.1080/00207543.2016.1244360","mag":"2538706963"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2016.1244360","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2016.1244360","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/A5054278694","display_name":"Chien\u2010Wei Wu","orcid":"https://orcid.org/0000-0001-7965-1997"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chien-Wei Wu","raw_affiliation_strings":["Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043952672","display_name":"Zih\u2010Huei Wang","orcid":"https://orcid.org/0000-0001-6994-2336"},"institutions":[{"id":"https://openalex.org/I25846049","display_name":"National Tsing Hua University","ror":"https://ror.org/00zdnkx70","country_code":"TW","type":"education","lineage":["https://openalex.org/I25846049"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Zih-Huei Wang","raw_affiliation_strings":["Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan","institution_ids":["https://openalex.org/I25846049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054278694"],"corresponding_institution_ids":["https://openalex.org/I25846049"],"apc_list":null,"apc_paid":null,"fwci":5.1698,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96241035,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"55","issue":"8","first_page":"2351","last_page":"2364"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998999834060669,"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/T11798","display_name":"Optimal Experimental Design Methods","score":0.9901999831199646,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9666000008583069,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/acceptance-sampling","display_name":"Acceptance sampling","score":0.6958909034729004},{"id":"https://openalex.org/keywords/process-capability-index","display_name":"Process capability index","score":0.6947221159934998},{"id":"https://openalex.org/keywords/vendor","display_name":"Vendor","score":0.6802555918693542},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6779732704162598},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.6336766481399536},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5664387345314026},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5495150089263916},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.5318809151649475},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4856470823287964},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.46989914774894714},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.44904011487960815},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4433596432209015},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43543678522109985},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.43409064412117004},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.38557618856430054},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.31001773476600647},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.254058301448822},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24569252133369446},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18838274478912354},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.1668401062488556},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.08181113004684448}],"concepts":[{"id":"https://openalex.org/C53947966","wikidata":"https://www.wikidata.org/wiki/Q3546732","display_name":"Acceptance sampling","level":3,"score":0.6958909034729004},{"id":"https://openalex.org/C190190378","wikidata":"https://www.wikidata.org/wiki/Q1192625","display_name":"Process capability index","level":3,"score":0.6947221159934998},{"id":"https://openalex.org/C2777338717","wikidata":"https://www.wikidata.org/wiki/Q1762621","display_name":"Vendor","level":2,"score":0.6802555918693542},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6779732704162598},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.6336766481399536},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5664387345314026},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5495150089263916},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.5318809151649475},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4856470823287964},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.46989914774894714},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.44904011487960815},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4433596432209015},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43543678522109985},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.43409064412117004},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.38557618856430054},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.31001773476600647},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.254058301448822},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24569252133369446},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18838274478912354},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.1668401062488556},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.08181113004684448},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2016.1244360","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2016.1244360","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:55:y:2017:i:8:p:2351-2364","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2016.1244360","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"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6923739357","display_name":null,"funder_award_id":"MOST 103-2221-E-007-103-MY3","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":53,"referenced_works":["https://openalex.org/W152569421","https://openalex.org/W178813691","https://openalex.org/W1530884268","https://openalex.org/W1593449005","https://openalex.org/W1966178678","https://openalex.org/W1968822837","https://openalex.org/W1975904493","https://openalex.org/W1981621717","https://openalex.org/W1988725147","https://openalex.org/W1994361555","https://openalex.org/W2012610275","https://openalex.org/W2013442496","https://openalex.org/W2022724465","https://openalex.org/W2022872748","https://openalex.org/W2028633539","https://openalex.org/W2029466487","https://openalex.org/W2033444305","https://openalex.org/W2037932775","https://openalex.org/W2043430453","https://openalex.org/W2044478521","https://openalex.org/W2053238479","https://openalex.org/W2054244490","https://openalex.org/W2055972523","https://openalex.org/W2060900651","https://openalex.org/W2061207866","https://openalex.org/W2063128174","https://openalex.org/W2072977909","https://openalex.org/W2081479711","https://openalex.org/W2087000525","https://openalex.org/W2093475073","https://openalex.org/W2102630255","https://openalex.org/W2122076163","https://openalex.org/W2157202423","https://openalex.org/W2170883694","https://openalex.org/W2171817903","https://openalex.org/W2266041236","https://openalex.org/W2280687644","https://openalex.org/W2282100580","https://openalex.org/W2310128947","https://openalex.org/W2316393398","https://openalex.org/W2329712949","https://openalex.org/W2337375183","https://openalex.org/W2340465821","https://openalex.org/W2347980580","https://openalex.org/W2493642044","https://openalex.org/W2495095637","https://openalex.org/W2796516062","https://openalex.org/W3029645440","https://openalex.org/W4230917442","https://openalex.org/W4234792953","https://openalex.org/W4245521939","https://openalex.org/W4256170606","https://openalex.org/W4293775970"],"related_works":["https://openalex.org/W3202801961","https://openalex.org/W4388573053","https://openalex.org/W4382402636","https://openalex.org/W1965855579","https://openalex.org/W2043430453","https://openalex.org/W1968822837","https://openalex.org/W2055972523","https://openalex.org/W3044562024","https://openalex.org/W2780031332","https://openalex.org/W1794334960"],"abstract_inverted_index":{"Acceptance":[0],"sampling":[1,36,54,61,87,127,187],"plans":[2,16,37,62],"have":[3,38],"been":[4,39],"utilised":[5],"predominantly":[6],"for":[7,24,41,89,153,205],"the":[8,71,94,104,107,118,125,144,149,156,161,164,168,178,195,198],"inspection":[9,154],"of":[10,59,106,117,131,177,197],"outgoing":[11],"and":[12,22,44,110,155,163,172,183,194],"incoming":[13],"lots;":[14],"these":[15],"provide":[17],"effective":[18],"rules":[19],"to":[20,47,147,166],"vendors":[21],"buyers":[23],"making":[25],"decisions":[26],"on":[27,65,93,124],"product":[28],"acceptance":[29],"or":[30],"rejection.":[31],"Multiple":[32],"dependent":[33],"state":[34],"(MDS)":[35],"developed":[40,101,119,179],"lot":[42,73,90],"sentencing":[43,91],"are":[45,63,158,203],"shown":[46],"be":[48],"more":[49],"efficient":[50],"than":[51],"traditional":[52,186],"single":[53],"plans.":[55,188],"The":[56,113,129,175],"decision":[57],"criteria":[58],"MDS":[60,86],"based":[64,92,123],"sample":[66,150],"information":[67],"not":[68],"only":[69],"from":[70,76],"current":[72],"but":[74],"also":[75],"preceding":[77],"lots.":[78],"In":[79],"this":[80],"study,":[81],"we":[82],"develop":[83],"a":[84],"variables":[85],"plan":[88,120,132,180,199],"advanced":[95],"process":[96],"capability":[97],"index,":[98],"which":[99],"was":[100],"by":[102,160],"combining":[103],"merits":[105],"yield-based":[108],"index":[109],"loss-based":[111],"index.":[112],"operating":[114],"characteristic":[115],"function":[116],"is":[121,134,146,181,192],"derived":[122],"exact":[126],"distribution.":[128],"determination":[130],"parameters":[133,196],"formulated":[135],"as":[136],"an":[137],"optimisation":[138],"model":[139],"with":[140,185],"non-linear":[141],"constraints,":[142],"where":[143],"objective":[145],"minimise":[148],"size":[151],"required":[152],"constraints":[157],"set":[159],"vendor":[162],"buyer":[165],"satisfy":[167],"desired":[169],"quality":[170],"levels":[171],"allowable":[173],"risks.":[174],"performance":[176],"examined":[182],"compared":[184],"A":[189],"step-by-step":[190],"procedure":[191],"provided,":[193],"under":[200],"various":[201],"conditions":[202],"tabulated":[204],"practical":[206],"applications.":[207]},"counts_by_year":[{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":7},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
