{"id":"https://openalex.org/W4386893671","doi":"https://doi.org/10.1080/03610918.2023.2257007","title":"Evaluation and design of a new system of tightened single-level skip-lot sampling plan","display_name":"Evaluation and design of a new system of tightened single-level skip-lot sampling plan","publication_year":2023,"publication_date":"2023-09-19","ids":{"openalex":"https://openalex.org/W4386893671","doi":"https://doi.org/10.1080/03610918.2023.2257007"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2023.2257007","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2257007","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/A5007176115","display_name":"S. Sridevi","orcid":null},"institutions":[{"id":"https://openalex.org/I98499257","display_name":"Kalasalingam Academy of Research and Education","ror":"https://ror.org/04fm2fn75","country_code":"IN","type":"education","lineage":["https://openalex.org/I98499257"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Sridevi","raw_affiliation_strings":["Department of Mathematics, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Mathematics, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India","institution_ids":["https://openalex.org/I98499257"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006878645","display_name":"S. Balamurali","orcid":"https://orcid.org/0000-0002-3010-245X"},"institutions":[{"id":"https://openalex.org/I98499257","display_name":"Kalasalingam Academy of Research and Education","ror":"https://ror.org/04fm2fn75","country_code":"IN","type":"education","lineage":["https://openalex.org/I98499257"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S. Balamurali","raw_affiliation_strings":["Department of Mathematics, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India"],"raw_orcid":"https://orcid.org/0000-0002-3010-245X","affiliations":[{"raw_affiliation_string":"Department of Mathematics, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India","institution_ids":["https://openalex.org/I98499257"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5006878645"],"corresponding_institution_ids":["https://openalex.org/I98499257"],"apc_list":null,"apc_paid":null,"fwci":0.4676,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.70898781,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":"54","issue":"2","first_page":"449","last_page":"466"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9990000128746033,"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":0.9990000128746033,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9912999868392944,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9638000130653381,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/plan","display_name":"Plan (archaeology)","score":0.8576265573501587},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.6980457305908203},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.6926994323730469},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5905518531799316},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.5040849447250366},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.4562084376811981},{"id":"https://openalex.org/keywords/markov-chain","display_name":"Markov chain","score":0.44626539945602417},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4227990210056305},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.41497501730918884},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24484091997146606},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.0915069580078125},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06946441531181335}],"concepts":[{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.8576265573501587},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.6980457305908203},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.6926994323730469},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5905518531799316},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.5040849447250366},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4562084376811981},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.44626539945602417},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4227990210056305},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.41497501730918884},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24484091997146606},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0915069580078125},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06946441531181335},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","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/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2023.2257007","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2023.2257007","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":30,"referenced_works":["https://openalex.org/W66365289","https://openalex.org/W132318279","https://openalex.org/W1975417552","https://openalex.org/W2007894937","https://openalex.org/W2008651627","https://openalex.org/W2029683774","https://openalex.org/W2034673226","https://openalex.org/W2044950386","https://openalex.org/W2063691579","https://openalex.org/W2080017675","https://openalex.org/W2091211625","https://openalex.org/W2093492022","https://openalex.org/W2118288142","https://openalex.org/W2159502809","https://openalex.org/W2184235605","https://openalex.org/W2187502022","https://openalex.org/W2342165312","https://openalex.org/W2495095637","https://openalex.org/W2502221234","https://openalex.org/W2556234127","https://openalex.org/W2606467196","https://openalex.org/W2792437232","https://openalex.org/W2793771291","https://openalex.org/W3025970346","https://openalex.org/W3108633216","https://openalex.org/W3121117880","https://openalex.org/W3196485261","https://openalex.org/W4205431151","https://openalex.org/W4250030075","https://openalex.org/W6677916363"],"related_works":["https://openalex.org/W4388813866","https://openalex.org/W2999104021","https://openalex.org/W4293088233","https://openalex.org/W2850804095","https://openalex.org/W1481656249","https://openalex.org/W2162280767","https://openalex.org/W2774950576","https://openalex.org/W1570799877","https://openalex.org/W2800688113","https://openalex.org/W2057598446"],"abstract_inverted_index":{"In":[0,32],"this":[1,88],"article,":[2],"we":[3],"develop":[4],"a":[5,14,35,95,160,190],"new":[6,89,153],"tightened":[7],"single-level":[8],"skip-lot":[9,17],"sampling":[10,18,67,90,112,154,167,203],"plan":[11,19,27,68,91,113,117,155,168],"by":[12,127],"incorporating":[13],"modification":[15],"in":[16,40,46,74,143],"of":[20,48,76,87,151,200],"type":[21],"SkSP-3,":[22],"and":[23,59,80,159,174,184,189],"the":[24,44,55,61,64,107,115,123,129,141,147,152,165,198,201],"newly":[25,65],"introduced":[26],"is":[28,38,102,136,156],"designated":[29],"as":[30,114],"TSkSP-3.":[31],"TSkSP-3":[33],"plan,":[34,58],"stringent":[36],"condition":[37],"imposed":[39],"order":[41,144],"to":[42,54,105,139,145,196],"protect":[43],"consumers":[45],"terms":[47,75],"average":[49,77,81,130,171,175],"outgoing":[50],"quality":[51],"limit":[52],"compared":[53],"existing":[56],"SkSP-3":[57],"at":[60],"same":[62,179],"time":[63],"proposed":[66,166,202],"will":[69],"have":[70],"minimum":[71,170],"inspection":[72,177],"efforts":[73],"sample":[78,172],"number":[79,173],"total":[82,131,176],"inspection.":[83,132],"Various":[84],"performance":[85],"measures":[86],"are":[92,193],"derived":[93],"using":[94],"Markov":[96],"chain":[97],"model.":[98],"A":[99],"designing":[100],"methodology":[101],"also":[103,137,157,194],"explained":[104],"determine":[106],"optimal":[108,148],"parameters":[109],"with":[110,178],"single":[111],"reference":[116],"based":[118],"on":[119,122],"two":[120],"points":[121],"operating":[124],"characteristic":[125],"approach":[126],"minimizing":[128],"An":[133,186],"optimization":[134],"problem":[135],"formulated":[138],"construct":[140],"tables":[142],"design":[146],"parameters.":[149],"Advantages":[150],"discussed,":[158],"comparative":[161],"study":[162],"shows":[163],"that":[164],"involves":[169],"protection":[180],"for":[181],"both":[182],"producer":[183],"consumer.":[185],"illustrative":[187],"example":[188,192],"real-life":[191],"provided":[195],"explain":[197],"implementation":[199],"plan.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-14T06:11:07.267592","created_date":"2025-10-10T00:00:00"}
