{"id":"https://openalex.org/W3092682682","doi":"https://doi.org/10.1109/gol49479.2020.9314751","title":"Use of Uncertain Additional Information in Newsvendor Models","display_name":"Use of Uncertain Additional Information in Newsvendor Models","publication_year":2020,"publication_date":"2020-10-28","ids":{"openalex":"https://openalex.org/W3092682682","doi":"https://doi.org/10.1109/gol49479.2020.9314751","mag":"3092682682"},"language":"en","primary_location":{"id":"doi:10.1109/gol49479.2020.9314751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gol49479.2020.9314751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Logistics Operations Management (GOL)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2010.09549","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5087392144","display_name":"Sergey Tarima","orcid":"https://orcid.org/0000-0001-7542-1094"},"institutions":[{"id":"https://openalex.org/I204308271","display_name":"Medical College of Wisconsin","ror":"https://ror.org/00qqv6244","country_code":"US","type":"education","lineage":["https://openalex.org/I204308271"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Sergey Tarima","raw_affiliation_strings":["Institute for Health and Equity, Medical College of Wisconsin, Wauwatosa, U.S.A","Medical College of Wisconsin ,"],"affiliations":[{"raw_affiliation_string":"Institute for Health and Equity, Medical College of Wisconsin, Wauwatosa, U.S.A","institution_ids":[]},{"raw_affiliation_string":"Medical College of Wisconsin ,","institution_ids":["https://openalex.org/I204308271"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5062449636","display_name":"Zhanna Zenkova","orcid":"https://orcid.org/0000-0002-3776-9935"},"institutions":[{"id":"https://openalex.org/I196355604","display_name":"National Research Tomsk State University","ror":"https://ror.org/02he2nc27","country_code":"RU","type":"education","lineage":["https://openalex.org/I196355604"]}],"countries":["RU"],"is_corresponding":false,"raw_author_name":"Zhanna Zenkova","raw_affiliation_strings":["Institute of Applied Mathematics and Computer Science, Tomsk State University, Tomsk, Russia","#R##N#Tomsk State University"],"affiliations":[{"raw_affiliation_string":"Institute of Applied Mathematics and Computer Science, Tomsk State University, Tomsk, Russia","institution_ids":["https://openalex.org/I196355604"]},{"raw_affiliation_string":"#R##N#Tomsk State University","institution_ids":["https://openalex.org/I196355604"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5087392144"],"corresponding_institution_ids":["https://openalex.org/I204308271"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12443924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9890000224113464,"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":0.9890000224113464,"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/T11918","display_name":"Forecasting Techniques and Applications","score":0.9660000205039978,"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"}},{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9438999891281128,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/newsvendor-model","display_name":"Newsvendor model","score":0.970381498336792},{"id":"https://openalex.org/keywords/quantile","display_name":"Quantile","score":0.7786405682563782},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.6514691710472107},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.5488718748092651},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.48633652925491333},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.480032354593277},{"id":"https://openalex.org/keywords/inventory-control","display_name":"Inventory control","score":0.47569382190704346},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.460955411195755},{"id":"https://openalex.org/keywords/random-variable","display_name":"Random variable","score":0.44606393575668335},{"id":"https://openalex.org/keywords/profit","display_name":"Profit (economics)","score":0.41634559631347656},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.40400975942611694},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3819100260734558},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.3702298402786255},{"id":"https://openalex.org/keywords/supply-chain","display_name":"Supply chain","score":0.20901301503181458},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.1880928874015808},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.08876779675483704}],"concepts":[{"id":"https://openalex.org/C36181114","wikidata":"https://www.wikidata.org/wiki/Q3130009","display_name":"Newsvendor model","level":3,"score":0.970381498336792},{"id":"https://openalex.org/C118671147","wikidata":"https://www.wikidata.org/wiki/Q578714","display_name":"Quantile","level":2,"score":0.7786405682563782},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.6514691710472107},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.5488718748092651},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.48633652925491333},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.480032354593277},{"id":"https://openalex.org/C117938511","wikidata":"https://www.wikidata.org/wiki/Q3634830","display_name":"Inventory control","level":2,"score":0.47569382190704346},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.460955411195755},{"id":"https://openalex.org/C122123141","wikidata":"https://www.wikidata.org/wiki/Q176623","display_name":"Random variable","level":2,"score":0.44606393575668335},{"id":"https://openalex.org/C181622380","wikidata":"https://www.wikidata.org/wiki/Q26911","display_name":"Profit (economics)","level":2,"score":0.41634559631347656},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.40400975942611694},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3819100260734558},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.3702298402786255},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.20901301503181458},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.1880928874015808},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.08876779675483704},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/gol49479.2020.9314751","is_oa":false,"landing_page_url":"https://doi.org/10.1109/gol49479.2020.9314751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 5th International Conference on Logistics Operations Management (GOL)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2010.09549","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.09549","pdf_url":"https://arxiv.org/pdf/2010.09549","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2010.09549","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2010.09549","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:3092682682","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2010.09549","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2010.09549","pdf_url":"https://arxiv.org/pdf/2010.09549","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3092682682.pdf","grobid_xml":"https://content.openalex.org/works/W3092682682.grobid-xml"},"referenced_works_count":11,"referenced_works":["https://openalex.org/W101651028","https://openalex.org/W164236898","https://openalex.org/W2023027787","https://openalex.org/W2075011748","https://openalex.org/W2122897173","https://openalex.org/W2126845835","https://openalex.org/W2139304881","https://openalex.org/W2141054642","https://openalex.org/W2171931949","https://openalex.org/W2793145237","https://openalex.org/W2800168709"],"related_works":["https://openalex.org/W2153340904","https://openalex.org/W2725504669","https://openalex.org/W3122970981","https://openalex.org/W2369854694","https://openalex.org/W3125558475","https://openalex.org/W2026083710","https://openalex.org/W260972426","https://openalex.org/W3173886823","https://openalex.org/W3125119346","https://openalex.org/W97891484","https://openalex.org/W1565659760","https://openalex.org/W3123765960","https://openalex.org/W2106985921","https://openalex.org/W2951907196","https://openalex.org/W1588493159","https://openalex.org/W2947148554","https://openalex.org/W2183775145","https://openalex.org/W3125978272","https://openalex.org/W1987071794","https://openalex.org/W2386839306"],"abstract_inverted_index":{"The":[0,66],"newsvendor":[1,18],"problem":[2,8,19,50],"is":[3,26,51,70,75,91,111,116,168,173],"a":[4,31,37,44,55,59,71,99,103,108,151,155,164],"popular":[5],"inventory":[6,22,192],"management":[7,12],"in":[9],"supply":[10],"chain":[11],"and":[13,33,36,74,123,180],"logistics.":[14],"Solutions":[15],"to":[16],"the":[17,86,96,124,135,140,146,159,171],"determine":[20,95],"optimal":[21,191],"levels.":[23,193],"This":[24,175],"model":[25],"typically":[27],"fully":[28],"determined":[29],"by":[30],"purchase":[32],"sale":[34],"prices":[35],"distribution":[38,67,88],"of":[39,47,58,68,89,98],"random":[40,72],"market":[41],"demand.":[42],"From":[43],"statistical":[45],"point":[46],"view,":[48],"this":[49],"often":[52,76],"considered":[53],"as":[54],"quantile":[56,97,152],"estimation":[57,115,184],"critical":[60,100],"fractile":[61,101],"which":[62,185],"maximizes":[63],"anticipated":[64],"profit.":[65],"demand":[69,90],"variable":[73],"estimated":[77],"on":[78],"historic":[79],"data.":[80],"In":[81],"an":[82],"ideal":[83],"situation,":[84],"when":[85],"probability":[87],"known,":[92,112],"one":[93,149],"can":[94],"minimizing":[102],"particular":[104],"loss":[105],"function.":[106],"When":[107],"parametric":[109],"family":[110],"maximum":[113,125],"likelihood":[114,126],"asymptotically":[117],"efficient":[118],"under":[119],"certain":[120],"regularity":[121],"assumptions":[122],"estimators":[127],"(MLEs)":[128],"are":[129],"used":[130],"for":[131,145,189],"estimating":[132,190],"quantiles.":[133],"Then,":[134],"Cramer-Rao":[136,160],"lower":[137,161],"bound":[138],"determines":[139],"lowest":[141],"possible":[142],"asymptotic":[143],"variance":[144,157,179],"MLEs.":[147],"Can":[148],"find":[150],"estimator":[153],"with":[154],"smaller":[156],"then":[158,170],"bound?":[162],"If":[163],"relevant":[165],"additional":[166,187],"information":[167,188],"available":[169],"answer":[172],"yes.":[174],"manuscript":[176],"considers":[177],"minimum":[178],"mean":[181],"squared":[182],"error":[183],"incorporate":[186]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}
