{"id":"https://openalex.org/W4200562054","doi":"https://doi.org/10.1080/00207543.2021.2013559","title":"Risk-averse two-stage distributionally robust optimisation for logistics planning in disaster relief management","display_name":"Risk-averse two-stage distributionally robust optimisation for logistics planning in disaster relief management","publication_year":2021,"publication_date":"2021-12-24","ids":{"openalex":"https://openalex.org/W4200562054","doi":"https://doi.org/10.1080/00207543.2021.2013559"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2021.2013559","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2021.2013559","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,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"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"},"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/A5100334959","display_name":"Duo Wang","orcid":"https://orcid.org/0000-0001-5752-5033"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Duo Wang","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051545824","display_name":"Kai Yang","orcid":"https://orcid.org/0000-0002-6794-6795"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Yang","raw_affiliation_strings":["School of Traffic and Transportation, Beijing Jiaotong University, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Traffic and Transportation, Beijing Jiaotong University, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5040786132","display_name":"Lixing Yang","orcid":"https://orcid.org/0000-0003-1628-5015"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lixing Yang","raw_affiliation_strings":["State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, People's Republic of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing, People's Republic of China","institution_ids":["https://openalex.org/I21193070"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040786132","https://openalex.org/A5051545824"],"corresponding_institution_ids":["https://openalex.org/I21193070"],"apc_list":null,"apc_paid":null,"fwci":4.8708,"has_fulltext":false,"cited_by_count":40,"citation_normalized_percentile":{"value":0.95220463,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"61","issue":"2","first_page":"668","last_page":"691"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11502","display_name":"Facility Location and Emergency Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource 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/T11502","display_name":"Facility Location and Emergency Management","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/1407","display_name":"Organizational Behavior and Human Resource 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/T10567","display_name":"Vehicle Routing Optimization Methods","score":0.98580002784729,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T11413","display_name":"Risk and Portfolio Optimization","score":0.9850000143051147,"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/emergency-management","display_name":"Emergency management","score":0.6362875699996948},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.6064115166664124},{"id":"https://openalex.org/keywords/stochastic-programming","display_name":"Stochastic programming","score":0.5778540968894958},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5733058452606201},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.5695587992668152},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.556225597858429},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5286926031112671},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.5006363391876221},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4897465705871582},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.21266061067581177},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18648988008499146}],"concepts":[{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.6362875699996948},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.6064115166664124},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.5778540968894958},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5733058452606201},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.5695587992668152},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.556225597858429},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5286926031112671},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.5006363391876221},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4897465705871582},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.21266061067581177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18648988008499146},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2021.2013559","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2021.2013559","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,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"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"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:61:y:2023:i:2:p:668-691","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2021.2013559","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.7799999713897705}],"awards":[{"id":"https://openalex.org/G1430980554","display_name":null,"funder_award_id":"2020JBM031","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3323736952","display_name":null,"funder_award_id":"71890972/71890970","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3406191952","display_name":null,"funder_award_id":"71825004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5500189012","display_name":null,"funder_award_id":"71942006","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G587651574","display_name":null,"funder_award_id":"71621001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1647779468","https://openalex.org/W1850626047","https://openalex.org/W1977102403","https://openalex.org/W1986370907","https://openalex.org/W1990275757","https://openalex.org/W1996986560","https://openalex.org/W2008936765","https://openalex.org/W2026911753","https://openalex.org/W2036178414","https://openalex.org/W2045728330","https://openalex.org/W2046708299","https://openalex.org/W2055109137","https://openalex.org/W2068142192","https://openalex.org/W2099774996","https://openalex.org/W2118465040","https://openalex.org/W2118578357","https://openalex.org/W2118856090","https://openalex.org/W2119303899","https://openalex.org/W2125417745","https://openalex.org/W2289906177","https://openalex.org/W2346416669","https://openalex.org/W2346945665","https://openalex.org/W2502016311","https://openalex.org/W2567715313","https://openalex.org/W2612149965","https://openalex.org/W2737452257","https://openalex.org/W2755912278","https://openalex.org/W2779916888","https://openalex.org/W2781753691","https://openalex.org/W2785422323","https://openalex.org/W2809395956","https://openalex.org/W2895485451","https://openalex.org/W2902225523","https://openalex.org/W2902323712","https://openalex.org/W2916074494","https://openalex.org/W2945281338","https://openalex.org/W2963450292","https://openalex.org/W2968009374","https://openalex.org/W2976312117","https://openalex.org/W2982220593","https://openalex.org/W2994907522","https://openalex.org/W2999262087","https://openalex.org/W2999484018","https://openalex.org/W3001739235","https://openalex.org/W3015573053","https://openalex.org/W3023809864","https://openalex.org/W3037408625","https://openalex.org/W3043585950","https://openalex.org/W3128321828","https://openalex.org/W4247245376","https://openalex.org/W4251616545"],"related_works":["https://openalex.org/W2372951866","https://openalex.org/W175006096","https://openalex.org/W1523365952","https://openalex.org/W2180949474","https://openalex.org/W2065369945","https://openalex.org/W4310823612","https://openalex.org/W2026665790","https://openalex.org/W4285278887","https://openalex.org/W1983760655","https://openalex.org/W2552756754"],"abstract_inverted_index":{"Relief":[0],"logistics":[1,35],"is":[2,16,28,66,85],"vital":[3],"to":[4,18,111],"disaster":[5,24,33,184],"relief":[6,25,34,185],"management.":[7,186],"Herein,":[8],"a":[9,132],"risk-averse":[10,179],"two-stage":[11,72,164,180],"distributionally":[12,73],"robust":[13,74],"programming":[14,166],"model":[15,44,94,158],"proposed":[17,92,123,156],"provide":[19],"decision":[20],"support":[21],"for":[22,100,183],"planning":[23,36],"logistics.":[26],"It":[27],"distinct":[29],"from":[30],"the":[31,41,46,54,59,71,80,91,114,119,122,140,146,152,155,162,171,178],"conventional":[32,163],"problem":[37],"in":[38,139],"that":[39,160],"(i)":[40],"facility":[42],"location-inventory":[43],"and":[45,62,69,102,174],"multi-commodity":[47],"network":[48],"flow":[49],"formulation":[50],"are":[51],"integrated;":[52],"(ii)":[53],"probability":[55],"distribution":[56],"information":[57],"of":[58,121,142,145,154,161,176],"supply,":[60],"demand,":[61],"road":[63],"link":[64],"capacity":[65],"partially":[67],"known,":[68],"(iii)":[70],"optimisation":[75],"(DRO)":[76],"method":[77],"based":[78,130],"on":[79,131],"worst-case":[81],"mean-conditional":[82],"value-at-risk":[83],"criterion":[84],"developed.":[86],"For":[87],"tractability,":[88],"we":[89,126,150,169],"reformulate":[90],"DRO":[93,124,157,181],"as":[95],"equivalent":[96],"mixed-integer":[97],"linear":[98],"programs":[99],"box":[101],"polyhedral":[103],"ambiguity":[104],"sets,":[105],"which":[106],"can":[107],"be":[108],"directly":[109],"solved":[110],"optimality":[112],"using":[113,177],"CPLEX":[115],"software.":[116],"To":[117],"evaluate":[118],"validity":[120],"model,":[125],"conduct":[127],"numerical":[128],"experiments":[129],"real-world":[133],"case":[134],"study":[135],"addressing":[136],"hurricane":[137],"threats":[138],"Gulf":[141],"Mexico":[143],"region":[144],"United":[147],"States.":[148],"Furthermore,":[149],"compare":[151],"performance":[153],"with":[159],"stochastic":[165],"model.":[167],"Finally,":[168],"report":[170],"managerial":[172],"implications":[173],"insights":[175],"approach":[182]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":11},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-25T08:39:21.599409","created_date":"2025-10-10T00:00:00"}
