{"id":"https://openalex.org/W1991985196","doi":"https://doi.org/10.1080/00207543.2011.597788","title":"A control chart based approach to monitoring supply network dynamics using Kalman filtering","display_name":"A control chart based approach to monitoring supply network dynamics using Kalman filtering","publication_year":2011,"publication_date":"2011-09-16","ids":{"openalex":"https://openalex.org/W1991985196","doi":"https://doi.org/10.1080/00207543.2011.597788","mag":"1991985196"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2011.597788","doi":"https://doi.org/10.1080/00207543.2011.597788","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2011.597788","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","fnege-2","jufo-2","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},"volume":null,"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/A5100406255","display_name":"Shanshan Wang","orcid":"https://orcid.org/0000-0002-5968-7762","observed_orcids":["https://orcid.org/0000-0002-5968-7762"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shanshan Wang","raw_affiliation_strings":["Industrial Engineering Program, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona 85287, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering Program, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona 85287, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069823101","display_name":"Teresa Wu","orcid":"https://orcid.org/0000-0002-0529-7048","observed_orcids":["https://orcid.org/0000-0002-0529-7048"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Teresa Wu","raw_affiliation_strings":["Industrial Engineering Program, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona 85287, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering Program, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona 85287, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012433267","display_name":"Shao-Jen Weng","orcid":"https://orcid.org/0000-0003-2230-6775","observed_orcids":["https://orcid.org/0000-0003-2230-6775"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shao-Jen Weng","raw_affiliation_strings":["Industrial Engineering Program, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona 85287, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering Program, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona 85287, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019888542","display_name":"John Fowler","orcid":"https://orcid.org/0000-0002-7112-8031","observed_orcids":["https://orcid.org/0000-0002-7112-8031"]},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"John Fowler","raw_affiliation_strings":["Industrial Engineering Program, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona 85287, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering Program, School of Computing, Informatics, Decision Systems Engineering, Arizona State University, Tempe, Arizona 85287, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069823101"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":1.0215,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.81338601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"50","issue":"11","first_page":"3137","last_page":"3151"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9541000127792358,"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":0.9541000127792358,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.017100000753998756,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T13706","display_name":"Management and Optimization Techniques","score":0.010200000368058681,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kalman-filter","display_name":"Kalman filter","score":0.8669999837875366},{"id":"https://openalex.org/keywords/control-charts","display_name":"control charts","score":0.9559999704360962},{"id":"https://openalex.org/keywords/state-space-models","display_name":"state-space model","score":0.9670000076293945},{"id":"https://openalex.org/keywords/abnormal-event-detection","display_name":"abnormal event detection","score":0.6679999828338623},{"id":"https://openalex.org/keywords/dynamic-state-estimation","display_name":"dynamic state estimation","score":0.6620000004768372},{"id":"https://openalex.org/keywords/supply-chain-uncertainty","display_name":"supply chain uncertainty","score":0.5540000200271606},{"id":"https://openalex.org/keywords/early-anomaly-detection","display_name":"early anomaly detection","score":0.4480000138282776}],"concepts":[{"id":"https://openalex.org/C157286648","wikidata":"https://www.wikidata.org/wiki/Q846780","display_name":"Kalman filter","level":2,"score":0.7539081573486328},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7316053509712219},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6173292398452759},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.5489828586578369},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5206786394119263},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.5163639783859253},{"id":"https://openalex.org/C52918065","wikidata":"https://www.wikidata.org/wiki/Q230945","display_name":"State-space representation","level":2,"score":0.5111060738563538},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.46660277247428894},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3705810308456421},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34488242864608765},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.2859746813774109},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.20788368582725525},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2068270742893219},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.16828420758247375},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13690784573554993},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12793892621994019},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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":"doi:10.1080/00207543.2011.597788","doi":"https://doi.org/10.1080/00207543.2011.597788","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2011.597788","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["abdc-a","anvur-class-a","anvur-scientific","cwts-core","fnege-2","jufo-2","ki-jl-2","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547","https://openalex.org/P4310320449"],"host_organization_lineage_names":["Taylor & Francis","Informa"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W34534769","https://openalex.org/W182400456","https://openalex.org/W587334766","https://openalex.org/W591710593","https://openalex.org/W1548637214","https://openalex.org/W1587896874","https://openalex.org/W1608317647","https://openalex.org/W1683055710","https://openalex.org/W1907818385","https://openalex.org/W1964773573","https://openalex.org/W1968334972","https://openalex.org/W1998871146","https://openalex.org/W2001851698","https://openalex.org/W2015198215","https://openalex.org/W2037760548","https://openalex.org/W2045050471","https://openalex.org/W2055577968","https://openalex.org/W2075219207","https://openalex.org/W2077226410","https://openalex.org/W2079531372","https://openalex.org/W2105934661","https://openalex.org/W2112564785","https://openalex.org/W2122967269","https://openalex.org/W2127440853","https://openalex.org/W2141640905","https://openalex.org/W2145938889","https://openalex.org/W2151247927","https://openalex.org/W2157825442","https://openalex.org/W2168670302","https://openalex.org/W2231901771","https://openalex.org/W2471910527","https://openalex.org/W2550374429","https://openalex.org/W4238398346","https://openalex.org/W6839174155"],"related_works":["https://openalex.org/W2045050471","https://openalex.org/W2972629466","https://openalex.org/W2364035920","https://openalex.org/W2998395185","https://openalex.org/W2533630929","https://openalex.org/W2107321282","https://openalex.org/W4283206560","https://openalex.org/W2382843821","https://openalex.org/W3047783313","https://openalex.org/W1537619345"],"abstract_inverted_index":{"In":[0,23],"today's":[1],"global":[2],"market,":[3],"a":[4,39],"critical":[5],"issue":[6],"for":[7,152,174],"companies":[8],"to":[9,16,33,111,148],"survive":[10],"the":[11,28,35,66,71,75,90,93,112,127,135,139,143,166,170,184,187,191],"increasing":[12],"competition":[13],"is":[14,121],"how":[15],"handle":[17],"uncertainty":[18],"in":[19,38,98,126,155],"their":[20],"supply":[21,40,117],"network.":[22,41],"this":[24],"paper,":[25],"we":[26,124],"explore":[27],"application":[29],"of":[30,68,82,178,190],"Kalman":[31,132],"filtering":[32],"estimate":[34],"dynamic":[36],"states":[37],"Two":[42],"state-space":[43,76,137,161,172],"models":[44,94],"are":[45,95],"developed.":[46],"The":[47,159],"first":[48,136,171],"one":[49,73],"focuses":[50],"on":[51],"processing":[52,63],"each":[53,107],"individual":[54],"order":[55],"which":[56],"includes":[57],"both":[58,165],"waiting":[59,83],"time":[60],"and":[61,123,134,169],"value-added":[62],"time.":[64,84],"Considering":[65],"correlation":[67],"consecutive":[69],"orders,":[70],"second":[72,160],"enhances":[74],"model":[77,81,129,162,168,173],"by":[78],"employing":[79],"autoregressive":[80],"To":[85],"signal":[86],"potential":[87],"abnormal":[88],"events,":[89],"estimates":[91],"from":[92,142],"further":[96],"used":[97],"control":[99,102],"charts":[100],"with":[101],"limits":[103],"being":[104],"updated":[105],"at":[106,180],"monitoring":[108],"stage":[109,145],"according":[110],"related":[113],"estimation":[114],"error.":[115],"A":[116],"network":[118],"case":[119],"example":[120],"studied":[122],"conclude":[125],"benchmark":[128,167],"(without":[130],"using":[131],"filtering)":[133],"model,":[138],"data":[140],"collected":[141],"bottleneck":[144,188],"turns":[146],"out":[147],"be":[149],"most":[150],"valuable":[151],"increased":[153],"accuracy":[154],"detecting":[156],"tardy":[157],"orders.":[158],"consistently":[163],"outperforms":[164],"robustly":[175],"early":[176],"detection":[177],"abnormalities":[179],"all":[181],"stages,":[182],"especially":[183],"stages":[185],"before":[186],"stage,":[189],"system.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":1}],"updated_date":"2026-10-30T12:39:25.321706","created_date":"2016-06-24T00:00:00"}