{"id":"https://openalex.org/W4200523120","doi":"https://doi.org/10.1080/01605682.2021.2007805","title":"Adjustable variables multiple-dependent-state sampling plans based on a process capability index","display_name":"Adjustable variables multiple-dependent-state sampling plans based on a process capability index","publication_year":2021,"publication_date":"2021-12-02","ids":{"openalex":"https://openalex.org/W4200523120","doi":"https://doi.org/10.1080/01605682.2021.2007805"},"language":"en","primary_location":{"id":"doi:10.1080/01605682.2021.2007805","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2021.2007805","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","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/A5009989981","display_name":"To\u2010Cheng Wang","orcid":"https://orcid.org/0000-0001-8905-6913"},"institutions":[{"id":"https://openalex.org/I2802777525","display_name":"R.O.C Military Academy","ror":"https://ror.org/02xcgb468","country_code":"TW","type":"government","lineage":["https://openalex.org/I2802777525"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"To-Cheng Wang","raw_affiliation_strings":["Republic of China Air Force Academy, Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-8905-6913","affiliations":[{"raw_affiliation_string":"Republic of China Air Force Academy, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I2802777525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080132497","display_name":"Ming\u2010Hung Shu","orcid":"https://orcid.org/0000-0001-5866-6700"},"institutions":[{"id":"https://openalex.org/I152743029","display_name":"Kaohsiung Medical University","ror":"https://ror.org/03gk81f96","country_code":"TW","type":"education","lineage":["https://openalex.org/I152743029"]},{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Hung Shu","raw_affiliation_strings":["Kaohsiung Medical University, Kaohsiung, Taiwan","National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0001-5866-6700","affiliations":[{"raw_affiliation_string":"Kaohsiung Medical University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I152743029"]},{"raw_affiliation_string":"National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4387154394"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014204794","display_name":"Bi\u2010Min Hsu","orcid":"https://orcid.org/0000-0002-8484-5056"},"institutions":[{"id":"https://openalex.org/I91951123","display_name":"Cheng Shiu University","ror":"https://ror.org/011bdtx65","country_code":"TW","type":"education","lineage":["https://openalex.org/I91951123"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bi-Min Hsu","raw_affiliation_strings":["Cheng Shiu University, Kaohsiung, Taiwan"],"raw_orcid":"https://orcid.org/0000-0002-8484-5056","affiliations":[{"raw_affiliation_string":"Cheng Shiu University, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I91951123"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101691344","display_name":"Chih-Wei Hsu","orcid":"https://orcid.org/0000-0003-2086-5821"},"institutions":[{"id":"https://openalex.org/I4387154394","display_name":"National Kaohsiung University of Science and Technology","ror":"https://ror.org/00hfj7g70","country_code":null,"type":"education","lineage":["https://openalex.org/I4387154394"]}],"countries":["TW"],"is_corresponding":true,"raw_author_name":"Chih-Wei Hsu","raw_affiliation_strings":["National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan","institution_ids":["https://openalex.org/I4387154394"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101691344"],"corresponding_institution_ids":["https://openalex.org/I4387154394"],"apc_list":null,"apc_paid":null,"fwci":0.9765,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.88675404,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"73","issue":"12","first_page":"2626","last_page":"2639"},"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/T10164","display_name":"Quality and Supply Management","score":0.9739000201225281,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.972599983215332,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/process-capability-index","display_name":"Process capability index","score":0.6473389863967896},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6295250654220581},{"id":"https://openalex.org/keywords/disadvantage","display_name":"Disadvantage","score":0.6205340027809143},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5631996393203735},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.5557740926742554},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.48947107791900635},{"id":"https://openalex.org/keywords/process-capability","display_name":"Process capability","score":0.46727311611175537},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.4620456397533417},{"id":"https://openalex.org/keywords/index","display_name":"Index (typography)","score":0.455265074968338},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.433014452457428},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4308586120605469},{"id":"https://openalex.org/keywords/sizing","display_name":"Sizing","score":0.41602885723114014},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.3827376663684845},{"id":"https://openalex.org/keywords/industrial-engineering","display_name":"Industrial engineering","score":0.33097338676452637},{"id":"https://openalex.org/keywords/work-in-process","display_name":"Work in process","score":0.23269766569137573},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.19178327918052673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.09744030237197876}],"concepts":[{"id":"https://openalex.org/C190190378","wikidata":"https://www.wikidata.org/wiki/Q1192625","display_name":"Process capability index","level":3,"score":0.6473389863967896},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6295250654220581},{"id":"https://openalex.org/C2777673361","wikidata":"https://www.wikidata.org/wiki/Q5281228","display_name":"Disadvantage","level":2,"score":0.6205340027809143},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5631996393203735},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.5557740926742554},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.48947107791900635},{"id":"https://openalex.org/C91439571","wikidata":"https://www.wikidata.org/wiki/Q1279773","display_name":"Process capability","level":3,"score":0.46727311611175537},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.4620456397533417},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.455265074968338},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.433014452457428},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4308586120605469},{"id":"https://openalex.org/C2777767291","wikidata":"https://www.wikidata.org/wiki/Q1080291","display_name":"Sizing","level":2,"score":0.41602885723114014},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.3827376663684845},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.33097338676452637},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.23269766569137573},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19178327918052673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.09744030237197876},{"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/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/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","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/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"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/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0},{"id":"https://openalex.org/C153349607","wikidata":"https://www.wikidata.org/wiki/Q36649","display_name":"Visual arts","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/01605682.2021.2007805","is_oa":false,"landing_page_url":"https://doi.org/10.1080/01605682.2021.2007805","pdf_url":null,"source":{"id":"https://openalex.org/S169988927","display_name":"Journal of the Operational Research Society","issn_l":"0160-5682","issn":["0160-5682","1476-9360"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319703","host_organization_name":"Palgrave Macmillan","host_organization_lineage":["https://openalex.org/P4310319703","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Palgrave Macmillan","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the Operational Research Society","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tjorxx:v:73:y:2022:i:12:p:2626-2639","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/01605682.2021.2007805","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":[{"score":0.47999998927116394,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W1739093231","https://openalex.org/W1968822837","https://openalex.org/W1984501785","https://openalex.org/W1991117625","https://openalex.org/W1994361555","https://openalex.org/W2022724465","https://openalex.org/W2029466487","https://openalex.org/W2035284404","https://openalex.org/W2037932775","https://openalex.org/W2044478521","https://openalex.org/W2053238479","https://openalex.org/W2061207866","https://openalex.org/W2065286140","https://openalex.org/W2072977909","https://openalex.org/W2079777091","https://openalex.org/W2081479711","https://openalex.org/W2100603551","https://openalex.org/W2106970698","https://openalex.org/W2122076163","https://openalex.org/W2270082025","https://openalex.org/W2282100580","https://openalex.org/W2347980580","https://openalex.org/W2496160453","https://openalex.org/W2538706963","https://openalex.org/W2582743722","https://openalex.org/W2607297148","https://openalex.org/W2780031332","https://openalex.org/W2790306981","https://openalex.org/W2790727494","https://openalex.org/W2887308634","https://openalex.org/W2900684240","https://openalex.org/W2908997492","https://openalex.org/W2921992912","https://openalex.org/W2930563084","https://openalex.org/W2972472586","https://openalex.org/W2993047607","https://openalex.org/W3005336337","https://openalex.org/W3027420352","https://openalex.org/W3127122180","https://openalex.org/W3130484866","https://openalex.org/W3182104274","https://openalex.org/W6748776942"],"related_works":["https://openalex.org/W2083138094","https://openalex.org/W2187065407","https://openalex.org/W2171447504","https://openalex.org/W2015253822","https://openalex.org/W2035220179","https://openalex.org/W2885310580","https://openalex.org/W2155070157","https://openalex.org/W1968597279","https://openalex.org/W2128319694","https://openalex.org/W1197829364"],"abstract_inverted_index":{"Acceptance":[0],"sampling":[1,42,60,65,84,106],"plans":[2,69,102,139,176],"are":[3,18,75,112],"practical":[4],"and":[5,35,143,151],"economical":[6],"methods":[7],"of":[8,27,54,67,133,148,173],"statistical":[9],"quality":[10,26],"control.":[11],"In":[12,77],"modern":[13],"manufacturing":[14,22],"processes,":[15],"supplier\u2019s":[16],"products":[17],"produced":[19],"from":[20,57,123],"continuous-flow":[21],"processes;":[23],"consequently,":[24],"the":[25,45,51,58,64,88,115,125,131,149,170,174],"successive":[28],"lots":[29,111],"is":[30,97,177],"expected":[31],"to":[32,49,146],"be":[33,160],"homogeneous":[34],"dependent.":[36],"The":[37,99],"multiple":[38],"dependent":[39],"state":[40],"(MDS)":[41],"plan":[43,61,85],"considers":[44],"cumulative":[46],"lot-sentencing":[47,116],"results":[48,74],"prevent":[50],"primary":[52],"disadvantage":[53],"past-lot":[55],"exclusion":[56],"single":[59],"(SSP).":[62],"Unfortunately,":[63],"efficiency":[66],"MDS":[68,82,152],"declines":[70],"as":[71,108],"additional":[72,109],"preceding-lot":[73],"included.":[76],"this":[78],"paper,":[79],"an":[80],"adjustable":[81,156],"(AMDS)":[83],"based":[86],"on":[87],"most":[89],"popular":[90],"process":[91],"capability":[92],"index":[93],"with":[94,155],"bilateral":[95],"specifications":[96],"developed.":[98],"proposed":[100,137],"AMDS":[101,138,175],"not":[103],"only":[104],"increase":[105],"performance":[107,132],"preceding":[110],"considered":[113],"in":[114,179],"decision":[117],"but":[118],"also":[119],"garner":[120],"economic":[121],"gains":[122],"reducing":[124],"required":[126],"sample":[127],"size.":[128],"After":[129],"comparing":[130],"different":[134],"plans,":[135],"our":[136],"demonstrate":[140],"superior":[141],"cost-effectiveness":[142],"discriminatory":[144],"powers":[145],"that":[147],"SSP":[150],"plans;":[153],"moreover,":[154],"mechanisms,":[157],"they":[158],"can":[159],"progressively":[161],"implemented":[162],"for":[163],"developing":[164],"a":[165,180],"solid":[166],"supplier-buyer":[167],"partnership.":[168],"Finally,":[169],"industrial":[171],"applicability":[172],"illustrated":[178],"case":[181],"study.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
