{"id":"https://openalex.org/W4406611530","doi":"https://doi.org/10.1109/wsc63780.2024.10838993","title":"Finding Feasible Systems for a Stochastic Constraint with Relaxed Tolerance Levels","display_name":"Finding Feasible Systems for a Stochastic Constraint with Relaxed Tolerance Levels","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406611530","doi":"https://doi.org/10.1109/wsc63780.2024.10838993"},"language":"en","primary_location":{"id":"doi:10.1109/wsc63780.2024.10838993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5103159077","display_name":"Chuljin Park","orcid":"https://orcid.org/0000-0001-9447-1281"},"institutions":[{"id":"https://openalex.org/I4575257","display_name":"Hanyang University","ror":"https://ror.org/046865y68","country_code":"KR","type":"education","lineage":["https://openalex.org/I4575257"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Chuljin Park","raw_affiliation_strings":["Hanyang University,Dept. of Industrial Engineering,Seoul,South Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hanyang University,Dept. of Industrial Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I4575257"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050603775","display_name":"Sigr\u00fan Andrad\u00f3ttir","orcid":"https://orcid.org/0000-0002-5763-0199"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sigr\u00fan Andrad\u00f3ttir","raw_affiliation_strings":["H. Milton Stewart School of Industrial and Systems Eng., Georgia Tech,Atlanta,GA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"H. Milton Stewart School of Industrial and Systems Eng., Georgia Tech,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063960763","display_name":"Seong\u2010Hee Kim","orcid":"https://orcid.org/0000-0001-9536-5755"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Seong-Hee Kim","raw_affiliation_strings":["H. Milton Stewart School of Industrial and Systems Eng., Georgia Tech,Atlanta,GA,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"H. Milton Stewart School of Industrial and Systems Eng., Georgia Tech,Atlanta,GA,USA","institution_ids":["https://openalex.org/I130701444"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059647191","display_name":"Yuwei Zhou","orcid":"https://orcid.org/0000-0003-1266-7200"},"institutions":[{"id":"https://openalex.org/I4210119109","display_name":"Indiana University Bloomington","ror":"https://ror.org/02k40bc56","country_code":"US","type":"education","lineage":["https://openalex.org/I4210119109","https://openalex.org/I592451"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuwei Zhou","raw_affiliation_strings":["Kelley School of Business, Indiana University,Bloomington,IN,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kelley School of Business, Indiana University,Bloomington,IN,USA","institution_ids":["https://openalex.org/I4210119109"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"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":0.43743086,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"467","last_page":"476"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.8883000016212463,"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"}},"topics":[{"id":"https://openalex.org/T10551","display_name":"Scheduling and Optimization Algorithms","score":0.8883000016212463,"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/T11596","display_name":"Constraint Satisfaction and Optimization","score":0.821399986743927,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/constraint","display_name":"Constraint (computer-aided design)","score":0.6612949371337891},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6443409323692322},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4158998131752014},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19583818316459656}],"concepts":[{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.6612949371337891},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6443409323692322},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4158998131752014},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19583818316459656},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wsc63780.2024.10838993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc63780.2024.10838993","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 Winter Simulation Conference (WSC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1939032295","display_name":null,"funder_award_id":"2022R1F1A1063147","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"},{"id":"https://openalex.org/G5585928794","display_name":"Collaborative Research: Revenue Management for Port Operations and other Multistage Service Systems","funder_award_id":"2127778","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1536615069","https://openalex.org/W2015923411","https://openalex.org/W2026507776","https://openalex.org/W2033413738","https://openalex.org/W2037728958","https://openalex.org/W2041724374","https://openalex.org/W2069209488","https://openalex.org/W2075625792","https://openalex.org/W2143242804","https://openalex.org/W2160860428","https://openalex.org/W2335629539","https://openalex.org/W2804232611","https://openalex.org/W3118719295"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2349580982"],"abstract_inverted_index":{"We":[0,26],"consider":[1],"the":[2,15,34,46,53,58,87,97,110,116],"problem":[3],"of":[4,17,41,66,103,115],"finding":[5],"feasible":[6,84],"systems":[7,50,85],"with":[8],"respect":[9],"to":[10,21,32,38,81,89],"a":[11,28,64,95],"stochastic":[12],"constraint":[13],"when":[14],"performance":[16],"each":[18,76],"system":[19],"needs":[20],"be":[22],"evaluated":[23],"via":[24],"simulation.":[25],"develop":[27],"new":[29],"procedure,":[30,37],"referred":[31],"as":[33],"Indifference-Zone":[35],"Relaxation":[36],"lessen":[39],"inefficiencies":[40],"existing":[42],"procedures":[43],"derived":[44],"under":[45],"assumption":[47],"that":[48],"all":[49],"are":[51],"exactly":[52],"tolerance":[54,68,78],"level":[55],"away":[56],"from":[57],"threshold.":[59],"Specifically,":[60],"our":[61],"procedure":[62,99,117],"introduces":[63],"set":[65],"relaxed":[67,77],"levels":[69],"and":[70,86],"simultaneously":[71],"implements":[72],"two":[73],"subroutines":[74],"for":[75,105],"level:":[79],"one":[80],"identify":[82],"clearly":[83,91],"other":[88],"exclude":[90],"infeasible":[92],"systems.":[93],"As":[94],"result,":[96],"proposed":[98],"allows":[100],"early":[101],"determination":[102],"feasibility":[104],"some":[106],"systems,":[107],"while":[108],"maintaining":[109],"statistical":[111],"guarantee.":[112],"The":[113],"efficiency":[114],"is":[118],"investigated":[119],"through":[120],"experimental":[121],"results.":[122]},"counts_by_year":[],"updated_date":"2026-08-06T08:24:18.245995","created_date":"2025-10-10T00:00:00"}
