{"id":"https://openalex.org/W4309277331","doi":"https://doi.org/10.1080/03610918.2022.2144891","title":"Stress-strength reliability of multi-component system using response surface approach","display_name":"Stress-strength reliability of multi-component system using response surface approach","publication_year":2022,"publication_date":"2022-11-17","ids":{"openalex":"https://openalex.org/W4309277331","doi":"https://doi.org/10.1080/03610918.2022.2144891"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2022.2144891","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2144891","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"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":"Communications in Statistics - Simulation and Computation","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/A5007466553","display_name":"G\u00f6zde Ku\u015f","orcid":"https://orcid.org/0000-0003-1144-8372"},"institutions":[{"id":"https://openalex.org/I41641357","display_name":"Ege University","ror":"https://ror.org/02eaafc18","country_code":"TR","type":"education","lineage":["https://openalex.org/I41641357"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"G\u00f6zde Ku\u015f","raw_affiliation_strings":["Department of Statistics, Ege University, \u0130zmir, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Ege University, \u0130zmir, Turkey","institution_ids":["https://openalex.org/I41641357"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084612682","display_name":"Sevcan Demir Atalay","orcid":"https://orcid.org/0000-0002-3117-0825"},"institutions":[{"id":"https://openalex.org/I41641357","display_name":"Ege University","ror":"https://ror.org/02eaafc18","country_code":"TR","type":"education","lineage":["https://openalex.org/I41641357"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Sevcan Demir Atalay","raw_affiliation_strings":["Department of Statistics, Ege University, \u0130zmir, Turkey"],"affiliations":[{"raw_affiliation_string":"Department of Statistics, Ege University, \u0130zmir, Turkey","institution_ids":["https://openalex.org/I41641357"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5084612682"],"corresponding_institution_ids":["https://openalex.org/I41641357"],"apc_list":null,"apc_paid":null,"fwci":0.1637,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54011485,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":"53","issue":"9","first_page":"4248","last_page":"4267"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T11798","display_name":"Optimal Experimental Design Methods","score":0.9991000294685364,"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/T10928","display_name":"Probabilistic and Robust Engineering Design","score":0.9988999962806702,"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/T10780","display_name":"Reliability and Maintenance Optimization","score":0.9957000017166138,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.730505108833313},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.7144792079925537},{"id":"https://openalex.org/keywords/stress","display_name":"Stress (linguistics)","score":0.6493176221847534},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.6223806738853455},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.49411657452583313},{"id":"https://openalex.org/keywords/reliability-engineering","display_name":"Reliability engineering","score":0.4736779034137726},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.4654197692871094},{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.45275259017944336},{"id":"https://openalex.org/keywords/response-surface-methodology","display_name":"Response surface methodology","score":0.4329252541065216},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36891424655914307},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3294212222099304},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.32625991106033325},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17125141620635986},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.16735592484474182}],"concepts":[{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.730505108833313},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.7144792079925537},{"id":"https://openalex.org/C21036866","wikidata":"https://www.wikidata.org/wiki/Q181767","display_name":"Stress (linguistics)","level":2,"score":0.6493176221847534},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.6223806738853455},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.49411657452583313},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.4736779034137726},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.4654197692871094},{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.45275259017944336},{"id":"https://openalex.org/C150077022","wikidata":"https://www.wikidata.org/wiki/Q3136137","display_name":"Response surface methodology","level":2,"score":0.4329252541065216},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36891424655914307},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3294212222099304},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.32625991106033325},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17125141620635986},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.16735592484474182},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2022.2144891","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2022.2144891","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"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":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1520479494","https://openalex.org/W1523095595","https://openalex.org/W1561771141","https://openalex.org/W1579724198","https://openalex.org/W1598705702","https://openalex.org/W1981252994","https://openalex.org/W1989365390","https://openalex.org/W2002469792","https://openalex.org/W2020598658","https://openalex.org/W2038815479","https://openalex.org/W2039207797","https://openalex.org/W2048498390","https://openalex.org/W2075543579","https://openalex.org/W2077362859","https://openalex.org/W2077663943","https://openalex.org/W2080015798","https://openalex.org/W2082812463","https://openalex.org/W2084872827","https://openalex.org/W2084925475","https://openalex.org/W2087641406","https://openalex.org/W2105024364","https://openalex.org/W2142577553","https://openalex.org/W2159854031","https://openalex.org/W2479613957","https://openalex.org/W2566797646","https://openalex.org/W2736147471","https://openalex.org/W2737577858","https://openalex.org/W2750031545","https://openalex.org/W2752706281","https://openalex.org/W3160659827","https://openalex.org/W4239026714","https://openalex.org/W4245035318","https://openalex.org/W4247453556","https://openalex.org/W4251598726"],"related_works":["https://openalex.org/W2073503281","https://openalex.org/W2384332569","https://openalex.org/W3006216983","https://openalex.org/W2907978266","https://openalex.org/W2007957789","https://openalex.org/W4288908364","https://openalex.org/W4323538665","https://openalex.org/W1983047026","https://openalex.org/W3041040697","https://openalex.org/W3043435145"],"abstract_inverted_index":{"AbstractThis":[0],"paper":[1],"focuses":[2],"on":[3,81],"the":[4,17,28,31,49,53,68,103,117,137,142,160,165,168,178,190],"stress-strength":[5,54,69],"reliabilities":[6,122,133],"of":[7,30,34,56,71,167],"basic":[8],"multi-component":[9,72],"system":[10,73,121,132,180,202],"designs":[11,74],"which":[12],"are":[13,75,109,126,134,154],"frequently":[14],"studied":[15],"in":[16,102,116,128,140,156,163,197],"literature":[18],"such":[19],"as":[20,89],"series,":[21],"parallel,":[22],"k\u2212out\u2212of\u2212n:G,":[23],"consecutive":[24],"k\u2212out\u2212of\u2212n:G.":[25],"Suppose":[26],"that":[27,47,176],"distribution":[29,166],"strength":[32,50,169],"variable":[33,144,170],"a":[35,57,63,94],"component":[36,59,101,115],"is":[37,60,93],"unknown":[38],"and":[39,66,105,171],"approximated":[40],"by":[41,43],"RSM":[42],"considering":[44],"specific":[45],"factors":[46],"affect":[48],"variable.":[51,83],"Firstly,":[52],"reliability":[55,70],"single":[58],"obtained":[61,135],"under":[62,78],"certain":[64],"assumption,":[65],"then":[67],"investigated":[76],"individually":[77],"two":[79,124],"assumptions":[80,85,125],"stress":[82,97,111,143],"These":[84],"can":[86],"be":[87,195],"stated":[88],"A.1":[90],"(e.g.,":[91,107],"there":[92,108],"common":[95],"random":[96],"effect":[98],"upon":[99,113],"each":[100,114],"system)":[104],"A.2":[106],"different":[110],"effects":[112],"system).":[118],"The":[119],"concerned":[120],"for":[123,136,189],"expressed":[127],"general":[129],"terms.":[130],"Besides,":[131],"second":[138],"assumption":[139],"case":[141],"conforms":[145],"to":[146,158,172,194],"normal":[147],"distribution.":[148],"Two":[149],"examples":[150],"about":[151],"inventory":[152],"systems":[153],"presented":[155],"order":[157],"use":[159],"proposed":[161],"method":[162],"obtaining":[164],"determine":[173],"design":[174,204],"points":[175],"give":[177],"optimum":[179],"reliability.":[181],"A":[182],"simulation":[183],"study":[184],"has":[185],"been":[186],"carried":[187],"out":[188],"required":[191],"data":[192],"set":[193],"used":[196],"these":[198],"examples.Keywords:":[199],"Inventory":[200],"systemMulti-component":[201],"designOptimum":[203],"pointsResponse":[205],"surface":[206],"methodologyStress-strength":[207],"reliabilityMATHEMATICAL":[208],"SUBJECT":[209],"CLASSIFICATION:":[210],"62N0562K2078M5037M05":[211]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2022-11-25T00:00:00"}
