{"id":"https://openalex.org/W2107702263","doi":"https://doi.org/10.1109/tr.2008.2006083","title":"Decisions on an Optimal Life Test Sampling Plan With Warranty Considerations","display_name":"Decisions on an Optimal Life Test Sampling Plan With Warranty Considerations","publication_year":2008,"publication_date":"2008-11-12","ids":{"openalex":"https://openalex.org/W2107702263","doi":"https://doi.org/10.1109/tr.2008.2006083","mag":"2107702263"},"language":"en","primary_location":{"id":"doi:10.1109/tr.2008.2006083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2008.2006083","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","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/A5063057949","display_name":"Yeu\u2010Shiang Huang","orcid":"https://orcid.org/0000-0003-1805-5088"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yeu-Shiang Huang","raw_affiliation_strings":["Department of Industrial and Information Management, National Cheng Kung University, Taiwan","Dept. of Ind. & Inf. Manage., Nat. Cheng Kung Univ., Tainan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Information Management, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Dept. of Ind. & Inf. Manage., Nat. Cheng Kung Univ., Tainan#TAB#","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102234466","display_name":"Cheng-Han Hsieh","orcid":null},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Cheng-Han Hsieh","raw_affiliation_strings":["Department of Industrial and Information Management, National Cheng Kung University, Taiwan","Dept. of Ind. & Inf. Manage., Nat. Cheng Kung Univ., Tainan#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Information Management, National Cheng Kung University, Taiwan","institution_ids":["https://openalex.org/I91807558"]},{"raw_affiliation_string":"Dept. of Ind. & Inf. Manage., Nat. Cheng Kung Univ., Tainan#TAB#","institution_ids":["https://openalex.org/I91807558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113847426","display_name":"Jyh-Wen Ho","orcid":null},"institutions":[{"id":"https://openalex.org/I152100410","display_name":"Aletheia University","ror":"https://ror.org/00ke8ye77","country_code":"TW","type":"education","lineage":["https://openalex.org/I152100410"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Jyh-Wen Ho","raw_affiliation_strings":["Department of Industrial Management and Enterprise Information, Aletheia University, Taipei, Taiwan","Dept. of Industrial Management and Enterprise Information, Aletheia University, Taipei, Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial Management and Enterprise Information, Aletheia University, Taipei, Taiwan","institution_ids":["https://openalex.org/I152100410"]},{"raw_affiliation_string":"Dept. of Industrial Management and Enterprise Information, Aletheia University, Taipei, Taiwan","institution_ids":["https://openalex.org/I152100410"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.3044,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.65629144,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"57","issue":"4","first_page":"643","last_page":"649"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.9983999729156494,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10780","display_name":"Reliability and Maintenance Optimization","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2213","display_name":"Safety, Risk, Reliability and Quality"},"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9351000189781189,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/warranty","display_name":"Warranty","score":0.8727633953094482},{"id":"https://openalex.org/keywords/test-plan","display_name":"Test plan","score":0.7642331123352051},{"id":"https://openalex.org/keywords/acceptance-sampling","display_name":"Acceptance sampling","score":0.7446855306625366},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.623464822769165},{"id":"https://openalex.org/keywords/product","display_name":"Product (mathematics)","score":0.5962836742401123},{"id":"https://openalex.org/keywords/weibull-distribution","display_name":"Weibull distribution","score":0.547836184501648},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5338505506515503},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.5312231183052063},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5119262933731079},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4773990213871002},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.4567810297012329},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.42189279198646545},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.40109822154045105},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.2822064161300659},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.2512056231498718},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.19255301356315613},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1844295859336853},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15724512934684753},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.09936287999153137}],"concepts":[{"id":"https://openalex.org/C2779056723","wikidata":"https://www.wikidata.org/wiki/Q329717","display_name":"Warranty","level":2,"score":0.8727633953094482},{"id":"https://openalex.org/C12148698","wikidata":"https://www.wikidata.org/wiki/Q364651","display_name":"Test plan","level":3,"score":0.7642331123352051},{"id":"https://openalex.org/C53947966","wikidata":"https://www.wikidata.org/wiki/Q3546732","display_name":"Acceptance sampling","level":3,"score":0.7446855306625366},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.623464822769165},{"id":"https://openalex.org/C90673727","wikidata":"https://www.wikidata.org/wiki/Q901718","display_name":"Product (mathematics)","level":2,"score":0.5962836742401123},{"id":"https://openalex.org/C173291955","wikidata":"https://www.wikidata.org/wiki/Q732332","display_name":"Weibull distribution","level":2,"score":0.547836184501648},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5338505506515503},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.5312231183052063},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5119262933731079},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4773990213871002},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.4567810297012329},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.42189279198646545},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.40109822154045105},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.2822064161300659},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2512056231498718},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.19255301356315613},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1844295859336853},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15724512934684753},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.09936287999153137},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"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/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tr.2008.2006083","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tr.2008.2006083","pdf_url":null,"source":{"id":"https://openalex.org/S87725633","display_name":"IEEE Transactions on Reliability","issn_l":"0018-9529","issn":["0018-9529","1558-1721"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Reliability","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Responsible consumption and production","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/12"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1581609803","https://openalex.org/W2030066641","https://openalex.org/W2031711215","https://openalex.org/W2051384887","https://openalex.org/W2080957185","https://openalex.org/W2087665321","https://openalex.org/W2088827605","https://openalex.org/W2092244993","https://openalex.org/W2104546629","https://openalex.org/W2110177342","https://openalex.org/W2121155836","https://openalex.org/W2121248249","https://openalex.org/W2125865008","https://openalex.org/W2131444874","https://openalex.org/W2139632868","https://openalex.org/W2140435148","https://openalex.org/W4235453562","https://openalex.org/W4237162108","https://openalex.org/W4243201716"],"related_works":["https://openalex.org/W1932489383","https://openalex.org/W2619128464","https://openalex.org/W2936560641","https://openalex.org/W2015313361","https://openalex.org/W2808903231","https://openalex.org/W2270985687","https://openalex.org/W2964587782","https://openalex.org/W2944017690","https://openalex.org/W2068731021","https://openalex.org/W2782823465"],"abstract_inverted_index":{"The":[0,134],"choice":[1],"of":[2,38,66,74,91,115,141,151,159,177],"an":[3,64,152],"appropriate":[4,72,110],"life":[5,59],"test":[6,60],"sampling":[7,61,154],"plan":[8,17,62],"is":[9,157],"a":[10,15,52,78,85,92,116,119,167],"crucial":[11],"decision":[12,53,121],"problem":[13],"because":[14],"good":[16],"not":[18],"only":[19],"can":[20,33],"help":[21],"producers":[22],"save":[23],"testing":[24,28],"time,":[25],"and":[26,41,103,118,131,145],"reduce":[27],"cost;":[29],"but":[30],"it":[31],"also":[32],"positively":[34],"affect":[35],"the":[36,39,57,71,89,113,128,139,149,175,178],"image":[37],"product,":[40,117],"thus":[42,124],"attract":[43],"more":[44],"consumers":[45],"to":[46,108,126,173],"buy":[47],"it.":[48],"This":[49],"study":[50],"developed":[51],"model":[54,122],"in":[55,77,87],"determining":[56],"optimal":[58,153],"with":[63,97],"aim":[65],"cost":[67,135],"minimization":[68],"by":[69],"identifying":[70],"number":[73],"product":[75],"failures":[76],"sample":[79],"that":[80],"should":[81],"be":[82,109],"used":[83],"as":[84],"threshold":[86],"judging":[88],"rejection":[90],"batch.":[93],"A":[94],"Weibull":[95],"distribution":[96],"two":[98],"parameters":[99],"(i.e.":[100],"scale":[101],"factor,":[102],"shape":[104],"factor)":[105],"was":[106,123,171],"assumed":[107],"for":[111,148,162],"modeling":[112],"lifetime":[114],"Bayesian":[120],"constructed":[125],"perform":[127],"prior,":[129],"preposterior,":[130],"posterior":[132],"analyses.":[133],"structure":[136],"thoroughly":[137],"encompassed":[138],"considerations":[140],"rejection,":[142],"acceptance,":[143],"testing,":[144],"warranty":[146],"costs":[147],"adoption":[150],"plan,":[155],"which":[156],"capable":[158],"providing":[160],"guidelines":[161],"making":[163],"better":[164],"decisions.":[165],"Finally,":[166],"practical":[168],"numerical":[169],"application":[170],"employed":[172],"demonstrate":[174],"effectiveness":[176],"proposed":[179],"approach.":[180]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
