{"id":"https://openalex.org/W2150626276","doi":"https://doi.org/10.1109/tase.2009.2018466","title":"Managing Supply Uncertainties Through Bayesian Information Update","display_name":"Managing Supply Uncertainties Through Bayesian Information Update","publication_year":2009,"publication_date":"2009-07-07","ids":{"openalex":"https://openalex.org/W2150626276","doi":"https://doi.org/10.1109/tase.2009.2018466","mag":"2150626276"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2009.2018466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2009.2018466","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","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/A5100706751","display_name":"Min Chen","orcid":"https://orcid.org/0000-0002-0676-3143"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Min Chen","raw_affiliation_strings":["School of Public Health, Yale University, New Heaven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Public Health, Yale University, New Heaven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038750761","display_name":"Yusen Xia","orcid":"https://orcid.org/0000-0003-2360-5574"},"institutions":[{"id":"https://openalex.org/I181565077","display_name":"Georgia State University","ror":"https://ror.org/03qt6ba18","country_code":"US","type":"education","lineage":["https://openalex.org/I181565077"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yusen Xia","raw_affiliation_strings":["Robinson College of Business, Georgia State University, Atlanta, GA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Robinson College of Business, Georgia State University, Atlanta, GA, USA","institution_ids":["https://openalex.org/I181565077"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100722142","display_name":"Xinlei Wang","orcid":"https://orcid.org/0000-0002-8561-6511"},"institutions":[{"id":"https://openalex.org/I178169726","display_name":"Southern Methodist University","ror":"https://ror.org/042tdr378","country_code":"US","type":"education","lineage":["https://openalex.org/I178169726"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xinlei Wang","raw_affiliation_strings":["Department of Statistical Science, Southern Methodist University, Dallas, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistical Science, Southern Methodist University, Dallas, TX, USA","institution_ids":["https://openalex.org/I178169726"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5193,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.95001927,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"7","issue":"1","first_page":"24","last_page":"36"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9993000030517578,"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"}},"topics":[{"id":"https://openalex.org/T11864","display_name":"Supply Chain Resilience and Risk Management","score":0.9993000030517578,"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/T10328","display_name":"Supply Chain and Inventory Management","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1404","display_name":"Management Information Systems"},"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/T10539","display_name":"Sustainable Supply Chain Management","score":0.9848999977111816,"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/bayesian-probability","display_name":"Bayesian probability","score":0.6188859343528748},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5160683989524841},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5038520693778992},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.48483574390411377},{"id":"https://openalex.org/keywords/information-asymmetry","display_name":"Information asymmetry","score":0.4810667037963867},{"id":"https://openalex.org/keywords/reduction","display_name":"Reduction (mathematics)","score":0.4372681975364685},{"id":"https://openalex.org/keywords/uncertainty-reduction-theory","display_name":"Uncertainty reduction theory","score":0.42271196842193604},{"id":"https://openalex.org/keywords/risk-analysis","display_name":"Risk analysis (engineering)","score":0.41093704104423523},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.351188063621521},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.184919536113739},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.1837712526321411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16559848189353943},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.13178741931915283},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11652696132659912},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.10847145318984985}],"concepts":[{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6188859343528748},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5160683989524841},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5038520693778992},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.48483574390411377},{"id":"https://openalex.org/C137577040","wikidata":"https://www.wikidata.org/wiki/Q431965","display_name":"Information asymmetry","level":2,"score":0.4810667037963867},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.4372681975364685},{"id":"https://openalex.org/C94361409","wikidata":"https://www.wikidata.org/wiki/Q7882500","display_name":"Uncertainty reduction theory","level":2,"score":0.42271196842193604},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.41093704104423523},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.351188063621521},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.184919536113739},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.1837712526321411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16559848189353943},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.13178741931915283},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11652696132659912},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.10847145318984985},{"id":"https://openalex.org/C46312422","wikidata":"https://www.wikidata.org/wiki/Q11024","display_name":"Communication","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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2009.2018466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2009.2018466","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.8100000023841858}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W579563416","https://openalex.org/W1529649630","https://openalex.org/W1579570945","https://openalex.org/W1972358255","https://openalex.org/W1974808568","https://openalex.org/W1979295088","https://openalex.org/W1988520084","https://openalex.org/W1990370774","https://openalex.org/W1998881947","https://openalex.org/W2001135201","https://openalex.org/W2026464058","https://openalex.org/W2029231701","https://openalex.org/W2031384163","https://openalex.org/W2044770213","https://openalex.org/W2069177951","https://openalex.org/W2080920327","https://openalex.org/W2081537805","https://openalex.org/W2085788170","https://openalex.org/W2097415784","https://openalex.org/W2104339749","https://openalex.org/W2112051922","https://openalex.org/W2130913064","https://openalex.org/W2131793403","https://openalex.org/W2155250526","https://openalex.org/W2164830383","https://openalex.org/W2595897327","https://openalex.org/W3121149390","https://openalex.org/W3123306589","https://openalex.org/W4253972805"],"related_works":["https://openalex.org/W2407375987","https://openalex.org/W2505726097","https://openalex.org/W2950975704","https://openalex.org/W2010643158","https://openalex.org/W3049691116","https://openalex.org/W2106867672","https://openalex.org/W4310268968","https://openalex.org/W3081214562","https://openalex.org/W2753713401","https://openalex.org/W2053745677"],"abstract_inverted_index":{"Recently,":[0],"firms":[1],"have":[2],"experienced":[3],"severe":[4],"disasters":[5],"that":[6,125],"caused":[7],"major":[8],"supply":[9,101],"disruptions.":[10,145],"In":[11],"this":[12,37,120],"paper":[13],"we":[14],"study":[15],"the":[16,42,45,82,98,126],"strategies":[17,116],"of":[18,24,47,71,100,144],"dual":[19],"sourcing":[20],"and":[21,61,68,134],"inventory":[22],"management":[23],"a":[25,78,90],"manufacturer":[26,79],"facing":[27],"disrupted":[28],"supplies.":[29],"Although":[30],"abundant":[31],"research":[32],"has":[33],"been":[34],"conducted":[35],"in":[36,44,63,85,112,131,136],"field,":[38],"researchers":[39],"rarely":[40],"address":[41],"problem":[43],"presence":[46],"information":[48],"asymmetry":[49],"or":[50,140],"imperfection,":[51],"which":[52,103],"occurs":[53],"because":[54],"unstable":[55],"supplies":[56],"are":[57,117],"often":[58],"highly":[59],"volatile":[60],"unpredictable":[62],"early":[64],"stages.":[65],"Without":[66],"accurate":[67],"prompt":[69],"forecasts":[70],"upstream":[72],"supplies,":[73],"it":[74],"is":[75,93,129],"difficult":[76],"for":[77],"to":[80,95,108,138],"manage":[81],"disruption":[83],"risks":[84],"an":[86],"optimal":[87],"manner.":[88],"Here,":[89],"Bayesian":[91,113],"model":[92],"proposed":[94,127],"dynamically":[96],"update":[97],"knowledge":[99,143],"risks,":[102],"uses":[104],"Dirichlet":[105],"prior":[106],"distributions":[107],"achieve":[109],"mathematical":[110],"tractability":[111],"updating.":[114],"Optimal-sourcing":[115],"studied":[118],"under":[119],"framework.":[121],"Simulation":[122],"results":[123],"show":[124],"approach":[128],"effective":[130],"cost":[132],"reduction":[133],"robust":[135],"reacting":[137],"imperfect":[139],"incomplete":[141],"initial":[142]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}