{"id":"https://openalex.org/W799544906","doi":null,"title":"Multi-Objective X-bar Control Chart Design by Integrating NSGA- II and Data Envelopment Analysis","display_name":"Multi-Objective X-bar Control Chart Design by Integrating NSGA- II and Data Envelopment Analysis","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W799544906","mag":"799544906"},"language":"en","primary_location":{"id":"mag:799544906","doi":null,"is_oa":false,"landing_page_url":"https://works.bepress.com/mohammadsadegh_mobin/6/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5102779450","display_name":"Mohammadsadegh Mobin","orcid":"https://orcid.org/0000-0003-1740-5592","observed_orcids":["https://orcid.org/0000-0003-1740-5592"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mohammadsadegh Mobin","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-1740-5592","affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Zhaojun Li","orcid":"https://orcid.org/0000-0002-2673-9909","observed_orcids":["https://orcid.org/0000-0002-2673-9909"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhaojun Li","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2673-9909","affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002415941","display_name":"Mahdi Massahi","orcid":"https://orcid.org/0000-0002-2697-5805","observed_orcids":["https://orcid.org/0000-0002-2697-5805"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahdi Massahi Khoraskani","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2697-5805","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.9545,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.83081655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":96},"biblio":{"volume":null,"issue":null,"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":0.9990000128746033,"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/T13706","display_name":"Management and Optimization Techniques","score":9.999999747378752e-05,"subfield":{"id":"https://openalex.org/subfields/1408","display_name":"Strategy and Management"},"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":9.999999747378752e-05,"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/x-bar-control-chart","display_name":"X-bar control chart","score":0.9549999833106995},{"id":"https://openalex.org/keywords/control-chart-design","display_name":"control chart design","score":0.9909999966621399},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"multi-objective optimization","score":0.9850000143051147},{"id":"https://openalex.org/keywords/nsga-ii","display_name":"NSGA-II","score":0.9860000014305115},{"id":"https://openalex.org/keywords/data-envelopment-analysis","display_name":"data envelopment analysis","score":0.996999979019165},{"id":"https://openalex.org/keywords/pareto-front","display_name":"Pareto front","score":0.6010000109672546},{"id":"https://openalex.org/keywords/average-run-length","display_name":"average run length","score":0.9010000228881836},{"id":"https://openalex.org/keywords/type-i-error","display_name":"type I error","score":0.902999997138977},{"id":"https://openalex.org/keywords/detection-power","display_name":"detection power","score":0.9419999718666077},{"id":"https://openalex.org/keywords/control-limits","display_name":"control limits","score":0.8220000267028809},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"statistical process control","score":0.5870000123977661},{"id":"https://openalex.org/keywords/trade-off-analysis","display_name":"trade-off analysis","score":0.6909999847412109}],"concepts":[{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.9102715849876404},{"id":"https://openalex.org/C111696304","wikidata":"https://www.wikidata.org/wiki/Q2303697","display_name":"Sorting","level":2,"score":0.762993574142456},{"id":"https://openalex.org/C129031352","wikidata":"https://www.wikidata.org/wiki/Q2597868","display_name":"\\bar x and R chart","level":5,"score":0.6302952170372009},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.5736695528030396},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.5658093094825745},{"id":"https://openalex.org/C15165950","wikidata":"https://www.wikidata.org/wiki/Q128536","display_name":"Pareto chart","level":3,"score":0.5581727027893066},{"id":"https://openalex.org/C22088475","wikidata":"https://www.wikidata.org/wiki/Q647974","display_name":"Data envelopment analysis","level":2,"score":0.5346673130989075},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.47709590196609497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4757418632507324},{"id":"https://openalex.org/C159848633","wikidata":"https://www.wikidata.org/wiki/Q7495725","display_name":"Shewhart individuals control chart","level":5,"score":0.45913058519363403},{"id":"https://openalex.org/C61122496","wikidata":"https://www.wikidata.org/wiki/Q1124595","display_name":"Bar chart","level":2,"score":0.45001521706581116},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.448625385761261},{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.38937488198280334},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.36677753925323486},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36551064252853394},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.23524394631385803},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1847149133682251},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.17007330060005188},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.08414128422737122},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:799544906","doi":null,"is_oa":false,"landing_page_url":"https://works.bepress.com/mohammadsadegh_mobin/6/","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1495821235","https://openalex.org/W1496618699","https://openalex.org/W1497256448","https://openalex.org/W1507787960","https://openalex.org/W1516458943","https://openalex.org/W1553373771","https://openalex.org/W1968535060","https://openalex.org/W2002485408","https://openalex.org/W2012428323","https://openalex.org/W2021362683","https://openalex.org/W2024597875","https://openalex.org/W2024838806","https://openalex.org/W2029591120","https://openalex.org/W2036403992","https://openalex.org/W2060108587","https://openalex.org/W2071877436","https://openalex.org/W2076452041","https://openalex.org/W2079193663","https://openalex.org/W2116661285","https://openalex.org/W2126105956","https://openalex.org/W2142183404","https://openalex.org/W4236980956"],"related_works":["https://openalex.org/W2229506965","https://openalex.org/W3111093710","https://openalex.org/W2036403992","https://openalex.org/W4239859699","https://openalex.org/W2348837059","https://openalex.org/W2127940123","https://openalex.org/W2071877436","https://openalex.org/W2038589761","https://openalex.org/W51660964","https://openalex.org/W2685990382"],"abstract_inverted_index":{"Control":[0],"charts":[1],"are":[2,132,157],"widely":[3],"used":[4],"in":[5,65,81,150,174],"industry":[6],"to":[7,112,118],"establish":[8],"and":[9,36,87,105,154],"maintain":[10],"statistical":[11,82],"control":[12,23,38,48,69,142,178],"of":[13,21,122,139],"a":[14,22,52,119,151],"process":[15,93],"for":[16,26,31,40,125,134],"quality":[17],"improvement.":[18],"Economic":[19],"use":[20],"chart":[24,49],"calls":[25],"designing":[27,66,175],"the":[28,37,41,46,61,84,88,96,114,136,155,160,166,176],"optimal":[29,116],"parameters":[30],"sample":[32],"size,":[33],"sampling":[34],"frequency,":[35],"limits":[39],"chart.":[42,70,143,179],"This":[43],"paper":[44],"investigates":[45],"X-bar":[47,68,141,177],"design":[50,138,172],"through":[51],"twostage":[53],"multi-objective":[54,58],"optimization":[55,92,146],"process.":[56],"The":[57,91,144],"formulation":[59],"reflects":[60],"multiple":[62],"objective":[63],"needs":[64],"an":[67,140],"For":[71],"example,":[72],"these":[73],"objectives":[74],"may":[75],"include":[76],"average":[77],"run":[78],"length":[79],"when":[80],"control,":[83],"type-I":[85],"error,":[86],"detection":[89],"power.":[90],"first":[94],"searches":[95],"Pareto":[97,115],"Frontiers":[98],"using":[99],"Non-dominated":[100],"Sorting":[101],"Generic":[102],"Algorithm":[103],"(NSGA-II),":[104],"then":[106],"applies":[107],"Data":[108],"Envelopment":[109],"Analyses":[110],"(DEA)":[111],"reduce":[113],"solutions":[117,124],"workable":[120],"size":[121],"efficient":[123],"implementation.":[126],"By":[127],"performing":[128],"trade-off":[129],"analysis,":[130],"guidelines":[131],"provided":[133],"choosing":[135],"appropriate":[137],"proposed":[145,167],"method":[147],"is":[148],"applied":[149],"case":[152],"study,":[153],"outcomes":[156],"compared":[158],"with":[159],"literature":[161],"results":[162],"which":[163],"reveal":[164],"that":[165],"model":[168],"offers":[169],"more":[170],"practical":[171],"options":[173]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-10-12T09:40:04.860316","created_date":"2016-06-24T00:00:00"}
