{"id":"https://openalex.org/W2793423758","doi":"https://doi.org/10.1007/s13675-018-0094-x","title":"Trade-off between robustness and cost for a storage loading problem: rule-based scenario generation","display_name":"Trade-off between robustness and cost for a storage loading problem: rule-based scenario generation","publication_year":2018,"publication_date":"2018-02-12","ids":{"openalex":"https://openalex.org/W2793423758","doi":"https://doi.org/10.1007/s13675-018-0094-x","mag":"2793423758"},"language":"en","primary_location":{"id":"doi:10.1007/s13675-018-0094-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13675-018-0094-x","pdf_url":null,"source":{"id":"https://openalex.org/S4210171502","display_name":"EURO Journal on Computational Optimization","issn_l":"2192-4406","issn":["2192-4406","2192-4414"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURO Journal on Computational Optimization","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1007/s13675-018-0094-x","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084758301","display_name":"Christina B\u00fcsing","orcid":"https://orcid.org/0000-0002-3394-2788"},"institutions":[{"id":"https://openalex.org/I887968799","display_name":"RWTH Aachen University","ror":"https://ror.org/04xfq0f34","country_code":"DE","type":"education","lineage":["https://openalex.org/I887968799"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Christina B\u00fcsing","raw_affiliation_strings":["Lehrstuhl II f\u00fcr Mathematik, RWTH Aachen University, Aachen, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lehrstuhl II f\u00fcr Mathematik, RWTH Aachen University, Aachen, Germany","institution_ids":["https://openalex.org/I887968799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035739743","display_name":"Sigrid Knust","orcid":null},"institutions":[{"id":"https://openalex.org/I170658231","display_name":"Osnabr\u00fcck University","ror":"https://ror.org/04qmmjx98","country_code":"DE","type":"education","lineage":["https://openalex.org/I170658231"]}],"countries":["DE"],"is_corresponding":true,"raw_author_name":"Sigrid Knust","raw_affiliation_strings":["Institute of Computer Science, University of Osnabr\u00fcck, Osnabr\u00fcck, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Computer Science, University of Osnabr\u00fcck, Osnabr\u00fcck, Germany","institution_ids":["https://openalex.org/I170658231"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109392110","display_name":"XuanThanh Le","orcid":null},"institutions":[{"id":"https://openalex.org/I4210148301","display_name":"Institute of Mathematics","ror":"https://ror.org/04jr71r83","country_code":"VN","type":"facility","lineage":["https://openalex.org/I4210148301","https://openalex.org/I70349855"]},{"id":"https://openalex.org/I70349855","display_name":"Vietnam Academy of Science and Technology","ror":"https://ror.org/02wsd5p50","country_code":"VN","type":"funder","lineage":["https://openalex.org/I70349855"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"XuanThanh Le","raw_affiliation_strings":["Institute of Mathematics, Vietnam Academy of Science and Technology, Hanoi, Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Mathematics, Vietnam Academy of Science and Technology, Hanoi, Vietnam","institution_ids":["https://openalex.org/I70349855","https://openalex.org/I4210148301"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5035739743"],"corresponding_institution_ids":["https://openalex.org/I170658231"],"apc_list":{"value":1400,"currency":"USD","value_usd":1400},"apc_paid":{"value":1400,"currency":"USD","value_usd":1400},"fwci":0.6604,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7329499,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"6","issue":"4","first_page":"339","last_page":"365"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.9983999729156494,"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"}},"topics":[{"id":"https://openalex.org/T11413","display_name":"Risk and Portfolio Optimization","score":0.9983999729156494,"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/T12135","display_name":"Fuzzy Systems and Optimization","score":0.991100013256073,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10328","display_name":"Supply Chain and Inventory Management","score":0.9882000088691711,"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/robustness","display_name":"Robustness (evolution)","score":0.9076086282730103},{"id":"https://openalex.org/keywords/stacking","display_name":"Stacking","score":0.8275831937789917},{"id":"https://openalex.org/keywords/robust-optimization","display_name":"Robust optimization","score":0.7094178199768066},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6995898485183716},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6466801166534424},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.48257341980934143},{"id":"https://openalex.org/keywords/stochastic-optimization","display_name":"Stochastic optimization","score":0.4403524398803711},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33898621797561646},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1357513964176178}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.9076086282730103},{"id":"https://openalex.org/C33347731","wikidata":"https://www.wikidata.org/wiki/Q285210","display_name":"Stacking","level":2,"score":0.8275831937789917},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.7094178199768066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6995898485183716},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6466801166534424},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.48257341980934143},{"id":"https://openalex.org/C194387892","wikidata":"https://www.wikidata.org/wiki/Q1747770","display_name":"Stochastic optimization","level":2,"score":0.4403524398803711},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33898621797561646},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1357513964176178},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C46141821","wikidata":"https://www.wikidata.org/wiki/Q209402","display_name":"Nuclear magnetic resonance","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1007/s13675-018-0094-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13675-018-0094-x","pdf_url":null,"source":{"id":"https://openalex.org/S4210171502","display_name":"EURO Journal on Computational Optimization","issn_l":"2192-4406","issn":["2192-4406","2192-4414"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURO Journal on Computational Optimization","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:spr:eurjco:v:6:y:2018:i:4:d:10.1007_s13675-018-0094-x","is_oa":false,"landing_page_url":"http://link.springer.com/10.1007/s13675-018-0094-x","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"},{"id":"pmh:oai:doaj.org/article:9db2bcb1e76742a78865fbf7a1829eab","is_oa":true,"landing_page_url":"https://doaj.org/article/9db2bcb1e76742a78865fbf7a1829eab","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURO Journal on Computational Optimization, Vol 6, Iss 4, Pp 339-365 (2018)","raw_type":"article"},{"id":"pmh:oai:publications.rwth-aachen.de:751792","is_oa":false,"landing_page_url":"https://publications.rwth-aachen.de/record/751792","pdf_url":null,"source":{"id":"https://openalex.org/S4306401033","display_name":"RWTH Publications (RWTH Aachen)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I887968799","host_organization_name":"RWTH Aachen University","host_organization_lineage":["https://openalex.org/I887968799"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"EURO journal on computational optimization 6(4), 339-365 (2018). doi:10.1007/s13675-018-0094-x special issue: \"Part II: Special Issue on Robust Combinatorial Optimization\"","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1007/s13675-018-0094-x","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s13675-018-0094-x","pdf_url":null,"source":{"id":"https://openalex.org/S4210171502","display_name":"EURO Journal on Computational Optimization","issn_l":"2192-4406","issn":["2192-4406","2192-4414"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"EURO Journal on Computational Optimization","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W599836893","https://openalex.org/W1505459757","https://openalex.org/W1596290341","https://openalex.org/W1807857769","https://openalex.org/W1842409659","https://openalex.org/W1963888335","https://openalex.org/W1974136890","https://openalex.org/W1992485797","https://openalex.org/W1992970242","https://openalex.org/W1995285162","https://openalex.org/W2003777645","https://openalex.org/W2006093909","https://openalex.org/W2006536577","https://openalex.org/W2013740431","https://openalex.org/W2019291268","https://openalex.org/W2019677517","https://openalex.org/W2020861455","https://openalex.org/W2076396544","https://openalex.org/W2089105401","https://openalex.org/W2109427113","https://openalex.org/W2131116400","https://openalex.org/W2165775468","https://openalex.org/W2287185385","https://openalex.org/W2500381110","https://openalex.org/W2514718768","https://openalex.org/W2610805765","https://openalex.org/W3106992008","https://openalex.org/W4243367687","https://openalex.org/W4244606392","https://openalex.org/W4253347690","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2002696586","https://openalex.org/W2793423758","https://openalex.org/W3017736765","https://openalex.org/W193468460","https://openalex.org/W2140496876","https://openalex.org/W4294706475","https://openalex.org/W4293570283","https://openalex.org/W2216231335","https://openalex.org/W3108299327","https://openalex.org/W3149055374"],"abstract_inverted_index":{"Integrating":[0],"uncertainties":[1],"into":[2,50,61],"the":[3,17,26,29,77,85,101,106,113,121,130,133,148,154,161],"optimization":[4,73],"process":[5],"is":[6,120,127],"crucial":[7],"to":[8,95],"obtain":[9],"solutions":[10],"suitable":[11],"for":[12,140],"practical":[13],"needs.":[14],"In":[15,32],"particular,":[16],"considered":[18],"uncertainty":[19,86],"set":[20,44,99],"has":[21],"a":[22,37,43,51,71,81,90,98,116,124],"huge":[23],"impact":[24,149],"on":[25,83,153],"quality":[27],"of":[28,45,65,108,115,132,150,160],"computed":[30],"solutions.":[31,163],"this":[33],"paper,":[34],"we":[35,88,111],"consider":[36],"storage":[38,54],"loading":[39],"problem":[40,143],"in":[41],"which":[42,119],"items":[46,66,135],"must":[47],"be":[48],"loaded":[49],"partly":[52],"filled":[53],"area,":[55],"regarding":[56],"stacking":[57,109,125,162],"constraints":[58],"and":[59,158],"taking":[60],"account":[62],"stochastic":[63,78,102],"data":[64,131],"arriving":[67],"later.":[68],"We":[69],"propose":[70],"robust":[72],"approach":[74,94],"dealing":[75],"with":[76],"uncertainty.":[79],"With":[80],"focus":[82],"constructing":[84],"set,":[87],"offer":[89],"rule-based":[91],"scenario":[92],"generation":[93],"derive":[96],"such":[97],"from":[100],"data.":[103],"To":[104],"evaluate":[105],"robustness":[107,157],"solutions,":[110],"introduce":[112],"concept":[114],"security":[117],"level,":[118],"probability":[122],"that":[123],"solution":[126],"feasible":[128],"when":[129],"uncertain":[134],"are":[136,145],"realized.":[137],"Computational":[138],"results":[139],"randomly":[141],"generated":[142],"instances":[144],"presented":[146],"showing":[147],"various":[151],"factors":[152],"trade-off":[155],"between":[156],"cost":[159]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
