{"id":"https://openalex.org/W3097917150","doi":"https://doi.org/10.37190/ord200207","title":"Attribute np Control Charts using Resampling Systems for Monitoring Non-Conforming Items using Exponentiated Half Logistic Distribution","display_name":"Attribute np Control Charts using Resampling Systems for Monitoring Non-Conforming Items using Exponentiated Half Logistic Distribution","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3097917150","doi":"https://doi.org/10.37190/ord200207","mag":"3097917150"},"language":"en","primary_location":{"id":"doi:10.37190/ord200207","is_oa":true,"landing_page_url":"https://doi.org/10.37190/ord200207","pdf_url":"https://doi.org/10.37190/ord200207","source":{"id":"https://openalex.org/S2739399646","display_name":"Badania Operacyjne i Decyzje/Operations Research and Decisions","issn_l":"1230-1868","issn":["1230-1868","2081-8858","2391-6060"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310317492","host_organization_name":"Wroc\u0142aw University of Science and Technology","host_organization_lineage":["https://openalex.org/P4310317492"],"host_organization_lineage_names":["Wroc\u0142aw University of Science and Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Operations Research and Decisions","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.37190/ord200207","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5011784581","display_name":"Ammara Tanveer","orcid":null},"institutions":[{"id":"https://openalex.org/I43729321","display_name":"National College of Business Administration and Economics","ror":"https://ror.org/02my4wj17","country_code":"PK","type":"education","lineage":["https://openalex.org/I43729321"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Ammara Tanveer","raw_affiliation_strings":["National College of Business Administration and Economics, Lahore 54660, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National College of Business Administration and Economics, Lahore 54660, Pakistan","institution_ids":["https://openalex.org/I43729321"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091275818","display_name":"Muhammad Aslam","orcid":"https://orcid.org/0000-0003-0644-1950"},"institutions":[{"id":"https://openalex.org/I185163786","display_name":"King Abdulaziz University","ror":"https://ror.org/02ma4wv74","country_code":"SA","type":"education","lineage":["https://openalex.org/I185163786"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Muhammad Aslam","raw_affiliation_strings":["Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Faculty of Science, King Abdulaziz University, Jeddah 21551, Saudi Arabia","institution_ids":["https://openalex.org/I185163786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101634935","display_name":"Muhammad Azam","orcid":"https://orcid.org/0000-0001-9123-837X"},"institutions":[{"id":"https://openalex.org/I79839403","display_name":"University of Veterinary and Animal Sciences","ror":"https://ror.org/00g325k81","country_code":"PK","type":"education","lineage":["https://openalex.org/I79839403"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Azam","raw_affiliation_strings":["Department of Statistics and Computer Science, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics and Computer Science, University of Veterinary and Animal Sciences, Lahore 54000, Pakistan","institution_ids":["https://openalex.org/I79839403"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113922023","display_name":"Muhammad Shujaat Navaz","orcid":null},"institutions":[{"id":"https://openalex.org/I2800666866","display_name":"Government of Pakistan","ror":"https://ror.org/00pnp4y96","country_code":"PK","type":"government","lineage":["https://openalex.org/I2800666866"]},{"id":"https://openalex.org/I4394709246","display_name":"Government of Punjab","ror":"https://ror.org/0262vjy29","country_code":null,"type":"government","lineage":["https://openalex.org/I4394709246"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Shujaat Navaz","raw_affiliation_strings":["Higher Education Department, Government of the Punjab, Lahore 54000, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Higher Education Department, Government of the Punjab, Lahore 54000, Pakistan","institution_ids":["https://openalex.org/I2800666866","https://openalex.org/I4394709246"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2985,"has_fulltext":true,"cited_by_count":3,"citation_normalized_percentile":{"value":0.63162879,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"30","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9979000091552734,"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":0.9979000091552734,"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/T10968","display_name":"Statistical Distribution Estimation and Applications","score":0.996399998664856,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9912999868392944,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/linear-discriminant-analysis","display_name":"Linear discriminant analysis","score":0.61141437292099},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.5769730806350708},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5294356346130371},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4940260052680969},{"id":"https://openalex.org/keywords/resampling","display_name":"Resampling","score":0.4866988956928253},{"id":"https://openalex.org/keywords/discriminant","display_name":"Discriminant","score":0.4748402237892151},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.46391716599464417},{"id":"https://openalex.org/keywords/discriminant-function-analysis","display_name":"Discriminant function analysis","score":0.4602791965007782},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.44950070977211},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.44836896657943726},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.42761939764022827},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4060670733451843},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3990989923477173},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3955458998680115},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.377672016620636},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3707908093929291},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.2122310996055603}],"concepts":[{"id":"https://openalex.org/C69738355","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Linear discriminant analysis","level":2,"score":0.61141437292099},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.5769730806350708},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5294356346130371},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4940260052680969},{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.4866988956928253},{"id":"https://openalex.org/C78397625","wikidata":"https://www.wikidata.org/wiki/Q192487","display_name":"Discriminant","level":2,"score":0.4748402237892151},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.46391716599464417},{"id":"https://openalex.org/C41771347","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Discriminant function analysis","level":2,"score":0.4602791965007782},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.44950070977211},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.44836896657943726},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.42761939764022827},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4060670733451843},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3990989923477173},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3955458998680115},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.377672016620636},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3707908093929291},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2122310996055603},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.37190/ord200207","is_oa":true,"landing_page_url":"https://doi.org/10.37190/ord200207","pdf_url":"https://doi.org/10.37190/ord200207","source":{"id":"https://openalex.org/S2739399646","display_name":"Badania Operacyjne i Decyzje/Operations Research and Decisions","issn_l":"1230-1868","issn":["1230-1868","2081-8858","2391-6060"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310317492","host_organization_name":"Wroc\u0142aw University of Science and Technology","host_organization_lineage":["https://openalex.org/P4310317492"],"host_organization_lineage_names":["Wroc\u0142aw University of Science and Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Operations Research and Decisions","raw_type":"journal-article"},{"id":"pmh:oai:dbc.wroc.pl:145252","is_oa":true,"landing_page_url":"https://dbc.wroc.pl/dlibra/publication/184331/edition/145252/content","pdf_url":null,"source":{"id":"https://openalex.org/S4210167977","display_name":"Prace Naukowe Uniwersytetu Ekonomicznego we Wroc\u0142awiu","issn_l":"1899-3192","issn":["1899-3192","2392-0041"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4322697539","host_organization_name":"Wroclaw University of Economics","host_organization_lineage":["https://openalex.org/P4322697539"],"host_organization_lineage_names":["Wroclaw University of Economics"],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.boid.pwr.wroc.pl/","raw_type":"artyku\u0142"}],"best_oa_location":{"id":"doi:10.37190/ord200207","is_oa":true,"landing_page_url":"https://doi.org/10.37190/ord200207","pdf_url":"https://doi.org/10.37190/ord200207","source":{"id":"https://openalex.org/S2739399646","display_name":"Badania Operacyjne i Decyzje/Operations Research and Decisions","issn_l":"1230-1868","issn":["1230-1868","2081-8858","2391-6060"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310317492","host_organization_name":"Wroc\u0142aw University of Science and Technology","host_organization_lineage":["https://openalex.org/P4310317492"],"host_organization_lineage_names":["Wroc\u0142aw University of Science and Technology"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Operations Research and Decisions","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6700000166893005,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3097917150.pdf","grobid_xml":"https://content.openalex.org/works/W3097917150.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W1975909841","https://openalex.org/W1999680912","https://openalex.org/W2044478521","https://openalex.org/W2047898306","https://openalex.org/W2067331784","https://openalex.org/W2085580559","https://openalex.org/W2097812801","https://openalex.org/W2114316671","https://openalex.org/W2130388500","https://openalex.org/W2148920658","https://openalex.org/W2151989398","https://openalex.org/W2153148316","https://openalex.org/W2157202423","https://openalex.org/W2185431520","https://openalex.org/W2320036699","https://openalex.org/W2471582927","https://openalex.org/W2766013938","https://openalex.org/W2779430853","https://openalex.org/W2781572927","https://openalex.org/W2783307285","https://openalex.org/W2921764077","https://openalex.org/W4233762744"],"related_works":["https://openalex.org/W2075660794","https://openalex.org/W1997987234","https://openalex.org/W2146026567","https://openalex.org/W2167334622","https://openalex.org/W4238888834","https://openalex.org/W1964346966","https://openalex.org/W2392907906","https://openalex.org/W4387528765","https://openalex.org/W2013111745","https://openalex.org/W2042632150"],"abstract_inverted_index":{"This":[0],"paper":[1],"is":[2,12,73,107,124],"centred":[3],"on":[4,30,88,121,150,166],"a":[5,16,110,146],"binary":[6,58],"classification":[7,59],"problem":[8],"in":[9,104],"which":[10],"it":[11],"desired":[13],"to":[14,22,55,76,113],"assign":[15],"new":[17],"object":[18],"with":[19,139],"multivariate":[20],"features":[21],"one":[23],"of":[24,33,50,67,70,90,133],"two":[25,36],"distinct":[26],"populations":[27],"as":[28,109],"based":[29],"historical":[31],"sets":[32],"samples":[34],"from":[35],"populations.":[37],"A":[38],"linear":[39,105,142],"discriminant":[40,116,143],"analysis":[41],"framework":[42],"has":[43,136],"been":[44,137],"proposed,":[45],"called":[46],"the":[47,57,62,65,68,77,81,84,94,98,115,127,134,163],"minimised":[48,74],"sum":[49,66],"deviations":[51,72,92],"by":[52],"proportion":[53,69],"(MSDP)":[54],"model":[56,155],"problem.":[60],"In":[61],"MSDP":[63,135,154],"formulation,":[64],"exterior":[71,91],"subject":[75],"group":[78],"separation":[79],"constraints,":[80],"normalisation":[82],"constraint,":[83],"upper":[85],"bound":[86],"constraints":[87],"proportions":[89],"and":[93,159],"sign":[95],"unrestriction":[96],"vis-\u00e0-vis":[97],"non-negativity":[99],"constraints.":[100],"The":[101,118,131,153],"two-phase":[102],"method":[103],"programming":[106],"adopted":[108],"solution":[111],"technique":[112],"generate":[114],"function.":[117],"decision":[119],"rule":[120],"group-membership":[122],"prediction":[123],"constructed":[125],"using":[126,145],"apparent":[128],"error":[129],"rate.":[130],"performance":[132],"compared":[138],"some":[140],"existing":[141],"models":[144],"previously":[147],"published":[148],"dataset":[149,165],"road":[151,167],"casualties.":[152,168],"was":[156],"more":[157],"promising":[158],"well":[160],"suited":[161],"for":[162],"imbalanced":[164]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-08-04T08:18:43.703281","created_date":"2025-10-10T00:00:00"}