{"id":"https://openalex.org/W6931937735","doi":"https://doi.org/10.5445/ir/1000169660","title":"On the interplay between data and decisions in discrete location problems","display_name":"On the interplay between data and decisions in discrete location problems","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W6931937735","doi":"https://doi.org/10.5445/ir/1000169660"},"language":"en","primary_location":{"id":"doi:10.5445/ir/1000169660","is_oa":true,"landing_page_url":"https://doi.org/10.5445/ir/1000169660","pdf_url":null,"source":{"id":"https://openalex.org/S7407052948","display_name":"KITopen","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"type":"book","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5445/ir/1000169660","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Bakker, Hannah","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Bakker, Hannah","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52941176,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.8747000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.8747000098228455,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10388","display_name":"Advanced Steganography and Watermarking Techniques","score":0.07289999723434448,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.013399999588727951,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/facility-location-problem","display_name":"Facility location problem","score":0.6689000129699707},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6610000133514404},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5997999906539917},{"id":"https://openalex.org/keywords/core","display_name":"Core (optical fiber)","score":0.579800009727478},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5534999966621399},{"id":"https://openalex.org/keywords/value","display_name":"Value (mathematics)","score":0.42820000648498535},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3790999948978424}],"concepts":[{"id":"https://openalex.org/C108005400","wikidata":"https://www.wikidata.org/wiki/Q1305598","display_name":"Facility location problem","level":2,"score":0.6689000129699707},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6610000133514404},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5997999906539917},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.579800009727478},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5738000273704529},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5534999966621399},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4797999858856201},{"id":"https://openalex.org/C2776291640","wikidata":"https://www.wikidata.org/wiki/Q2912517","display_name":"Value (mathematics)","level":2,"score":0.42820000648498535},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3790999948978424},{"id":"https://openalex.org/C108713360","wikidata":"https://www.wikidata.org/wiki/Q1824206","display_name":"Supply chain","level":2,"score":0.3695000112056732},{"id":"https://openalex.org/C32848918","wikidata":"https://www.wikidata.org/wiki/Q845789","display_name":"Observable","level":2,"score":0.3589000105857849},{"id":"https://openalex.org/C114563136","wikidata":"https://www.wikidata.org/wiki/Q19725982","display_name":"Network planning and design","level":2,"score":0.2996000051498413},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.28769999742507935},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.287200003862381},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2736000120639801},{"id":"https://openalex.org/C44104985","wikidata":"https://www.wikidata.org/wiki/Q492886","display_name":"Supply chain management","level":3,"score":0.2648000121116638},{"id":"https://openalex.org/C2776608338","wikidata":"https://www.wikidata.org/wiki/Q6664803","display_name":"Location model","level":2,"score":0.2540000081062317},{"id":"https://openalex.org/C3018263672","wikidata":"https://www.wikidata.org/wiki/Q1296251","display_name":"Efficient algorithm","level":2,"score":0.2535000145435333}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.5445/ir/1000169660","is_oa":true,"landing_page_url":"https://doi.org/10.5445/ir/1000169660","pdf_url":null,"source":{"id":"https://openalex.org/S7407052948","display_name":"KITopen","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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"}],"best_oa_location":{"id":"doi:10.5445/ir/1000169660","is_oa":true,"landing_page_url":"https://doi.org/10.5445/ir/1000169660","pdf_url":null,"source":{"id":"https://openalex.org/S7407052948","display_name":"KITopen","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,152],"capacitated":[1],"facility":[2],"location":[3,11,419,573,616],"problem":[4,9,63,150],"(CFLP)":[5],"is":[6,94,130,184,189,192,283,322,325,390,435,474,496,529,664],"a":[7,78,83,102,248,363,369,377,398,429,440,540,602],"core":[8],"in":[10,43,77,90,96,107,148,181,206,210,229,402,411,539,553,588,634,688],"science.":[12],"Several":[13],"exact":[14,277],"and":[15,19,93,110,136,163,186,202,270,278,306,424,444,484,652,658,675,696],"heuristic":[16,279],"solution":[17,213,280,473],"approaches":[18],"various":[20],"modeling":[21],"extensions":[22,407,517],"integrating":[23,350],"time,":[24],"uncertainty,":[25],"or":[26,259,604],"further":[27,621],"supply":[28],"chain":[29],"network":[30],"design":[31],"decisions":[32,109,115,166,180,228,536,574],"exist.":[33],"However,":[34],"the":[35,39,52,71,75,87,113,133,140,143,149,159,164,195,200,207,211,227,236,239,268,273,288,302,330,336,353,374,383,394,409,412,427,438,450,458,461,465,468,471,477,486,492,500,507,511,515,519,526,532,554,559,564,567,583,589,596,609,614,635,668,716],"average-case-based":[36],"analysis":[37],"underlying":[38],"majority":[40],"of":[41,54,70,74,86,120,167,197,232,238,241,250,257,262,272,275,291,301,304,329,357,376,385,408,449,460,470,521,525,561,566,569,599,646,656,670],"works":[42],"this":[44,242,682],"field":[45],"leaves":[46],"several":[47,644],"questions":[48,122],"unaddressed:":[49],"Why":[50,65],"does":[51,66,99,543],"runtime":[53,365],"state-of-the-art":[55,671],"MIP":[56,673],"solvers":[57,674],"differ":[58],"drastically":[59],"between":[60,161],"seemingly":[61],"similar":[62],"instances?":[64],"an":[67,233,298,403,445,548],"explicit":[68],"consideration":[69],"temporal":[72,541],"development":[73],"parameters":[76,504],"multi-period":[79,430,466,472,493],"model":[80,105,135,372,399,516,612],"lead":[81],"to":[82,101,125,214,218,247,314,362,368,392,482,502,513,551,578,601,631,661],"significant":[84,364],"improvement":[85],"objective":[88,527],"value":[89,469,488,528,598],"some":[91],"instances":[92,176,216,252,562,648,663],"negligible":[95],"others?":[97],"When":[98,582],"moving":[100,600],"more":[103,294,334,370,610,697],"complex":[104,371,611,698],"result":[106,205],"different":[108,276],"when":[111,132],"are":[112,123,138,421,452,489,537,586,639],"same":[114,134,289,615],"merely":[116],"evaluated":[117],"differently?":[118],"None":[119],"these":[121,316,662],"easy":[124],"address,":[126],"yet":[127],"one":[128],"thing":[129],"clear:":[131],"algorithm":[137,344],"used,":[139],"reason":[141],"for":[142,343,418,437,476,712],"observable":[144],"differences":[145],"must":[146],"lie":[147],"data.":[151],"present":[153],"work":[154,627],"offers":[155],"new":[156,171,341,704],"insights":[157],"into":[158,308,352],"relationship":[160],"data":[162,677],"optimal":[165,185,212,657],"CFLP":[168,251,410,431,451],"instances.":[169],"A":[170,221,311,454],"methodological":[172],"approach":[173,313,606],"that":[174,183,194,285,327,349,498,535,591,685,708],"characterizes":[175],"based":[177,225],"on":[178,226,623,643,706],"their":[179],"well-performing,":[182],"near-optimal":[187,659],"solutions":[188,231,321,633,660],"presented.":[190,490],"It":[191,244,282,324],"shown":[193,326,497],"combination":[196],"spatial":[198],"patterns,":[199],"capacity-to-demand,":[201],"fixed-costs-to-profit":[203],"ratio":[204],"facilities":[208,286],"operating":[209],"individual":[215],"interdepending":[217],"varying":[219],"degrees.":[220],"newly":[222],"proposed":[223],"measure":[224],"well-performing":[230],"instance":[234],"allows":[235,267,563],"quantification":[237,459],"level":[240,568],"interdependence.":[243],"gives":[245],"rise":[246],"classification":[249],"as":[253,608],"either":[254],"primarily":[255,260],"composed":[256,261],"independent":[258],"interdependent":[263],"facilities.":[264],"This":[265,626],"distinction":[266],"anticipation":[269,565],"explanation":[271],"performance":[274],"algorithms.":[281],"demonstrated":[284],"serving":[287],"subset":[290],"customers":[292,307],"interdepend":[293],"strongly,":[295],"which":[296,397,503,514,572],"induces":[297],"implied":[299,337,584],"separation":[300],"sets":[303,645],"candidates":[305,593],"distinct":[309],"regions.":[310],"pattern-based":[312],"retrieve":[315],"regions":[317,338],"already":[318],"from":[319,649],"integer-infeasible":[320],"introduced.":[323],"knowledge":[328],"interdependence":[331],"relationships":[332],"and,":[333],"precisely,":[335],"opens":[339],"up":[340,703],"opportunities":[342],"development.":[345],"Computational":[346],"experiments":[347,642],"show":[348],"it":[351,389,495],"branch-variable":[354],"selection":[355],"step":[356],"CPLEX's":[358],"branch-and-cut":[359],"solver":[360],"leads":[361],"reduction.":[366],"Moving":[367],"increases":[373],"flexibility":[375,570],"decision-maker":[378],"but":[379,510,700],"also":[380,701],"comes":[381],"at":[382],"cost":[384,523],"added":[386,404,462,487,597],"complexity.":[387],"Thus,":[388],"important":[391,549],"understand":[393],"conditions":[395],"under":[396],"extension":[400],"results":[401,619],"value.":[405,463],"Model":[406],"two":[413],"most":[414],"commonly":[415],"found":[416],"directions":[417],"problems":[420,699,707],"analyzed:":[422],"time":[423,547],"uncertainty.":[425,581],"For":[426,464,491,556],"first,":[428],"with":[432,571,667],"phase-in":[433],"constraints":[434],"examined;":[436],"latter,":[439],"two-stage":[441],"stochastic":[442,605],"program":[443,448],"adjustable":[446],"robust":[447,603],"compared.":[453],"central":[455],"question":[456],"regards":[457],"CFLP,":[467],"used;":[475],"uncertainty-aware":[478,557],"formulations,":[479],"novel":[480,629],"measures":[481],"assess":[483],"compare":[485],"model,":[494],"not":[499,544,691],"degree":[501,512],"change":[505],"over":[506],"planning":[508],"horizon":[509],"allow":[518,693],"reduction":[520],"relevant":[522],"components":[524],"decisive.":[530],"Consequently,":[531],"mere":[533],"fact":[534],"taken":[538],"context":[542],"necessarily":[545],"make":[546],"aspect":[550],"include":[552],"model.":[555],"models,":[558],"characterization":[560],"can":[575],"be":[576],"adapted":[577],"hedge":[579],"against":[580],"patterns":[585],"rigid":[587],"sense":[590],"few":[592],"clearly":[594],"dominate,":[595],"diminishes":[607],"proposes":[613],"decisions.":[617],"Both":[618],"encourage":[620],"research":[622],"data-driven":[624],"modeling.":[625],"presents":[628],"methods":[630],"analyze":[632],"decision":[636],"space.":[637],"Insights":[638],"validated":[640],"by":[641],"benchmark":[647],"literature.":[650],"Deriving":[651],"subsequently":[653],"analyzing":[654],"multi-sets":[655],"possible":[665],"only":[666,692],"help":[669],"potent":[672],"efficient":[676],"analytics":[678],"tools.":[679],"As":[680],"such,":[681],"thesis":[683],"demonstrates":[684],"recent":[686],"advances":[687],"computing":[689],"power":[690],"addressing":[694],"larger":[695],"open":[702],"perspectives":[705],"have":[709],"been":[710],"studied":[711],"decades":[713],"\u2013":[714],"like":[715],"CFLP.":[717]},"counts_by_year":[],"updated_date":"2025-11-06T06:51:31.235846","created_date":"2025-10-10T00:00:00"}
