{"id":"https://openalex.org/W4251339669","doi":"https://doi.org/10.1109/wsc.2013.6721481","title":"Minimizing opportunity cost in selecting the best feasible design","display_name":"Minimizing opportunity cost in selecting the best feasible design","publication_year":2013,"publication_date":"2013-12-01","ids":{"openalex":"https://openalex.org/W4251339669","doi":"https://doi.org/10.1109/wsc.2013.6721481"},"language":"en","primary_location":{"id":"doi:10.1109/wsc.2013.6721481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2013.6721481","pdf_url":null,"source":{"id":"https://openalex.org/S4363607809","display_name":"2013 Winter Simulations Conference (WSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Winter Simulations Conference (WSC)","raw_type":"proceedings-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/A5013031003","display_name":"Nugroho A. Pujowidianto","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nugroho A. Pujowidianto","raw_affiliation_strings":["Hewlett-Packard Singapore, Singapore, SINGAPORE"],"affiliations":[{"raw_affiliation_string":"Hewlett-Packard Singapore, Singapore, SINGAPORE","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007751109","display_name":"Loo Hay Lee","orcid":"https://orcid.org/0000-0001-9359-0027"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Loo Hay Lee","raw_affiliation_strings":["Industrial & Systems Engineering, National University of Singapore, Singapore, SINGAPORE"],"affiliations":[{"raw_affiliation_string":"Industrial & Systems Engineering, National University of Singapore, Singapore, SINGAPORE","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017945484","display_name":"Chun\u2010Hung Chen","orcid":"https://orcid.org/0000-0001-7824-1814"},"institutions":[{"id":"https://openalex.org/I162714631","display_name":"George Mason University","ror":"https://ror.org/02jqj7156","country_code":"US","type":"education","lineage":["https://openalex.org/I162714631"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-Hung Chen","raw_affiliation_strings":["Systems Engineering & Operations Research, George Mason University, Fairfax, VA, USA"],"affiliations":[{"raw_affiliation_string":"Systems Engineering & Operations Research, George Mason University, Fairfax, VA, USA","institution_ids":["https://openalex.org/I162714631"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5013031003"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.2384,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8258427,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"898","last_page":"907"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9988999962806702,"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/T11159","display_name":"Manufacturing Process and Optimization","score":0.9988999962806702,"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9980999827384949,"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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9912999868392944,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/selection","display_name":"Selection (genetic algorithm)","score":0.7303619980812073},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6708940267562866},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.6323754787445068},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.628849983215332},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6118705868721008},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5449591279029846},{"id":"https://openalex.org/keywords/opportunity-cost","display_name":"Opportunity cost","score":0.5091590285301208},{"id":"https://openalex.org/keywords/budget-constraint","display_name":"Budget constraint","score":0.5033103823661804},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4899570047855377},{"id":"https://openalex.org/keywords/upper-and-lower-bounds","display_name":"Upper and lower bounds","score":0.47527971863746643},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.42746463418006897},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2202477753162384},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17217350006103516},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.16273850202560425},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1516541838645935},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.11667519807815552}],"concepts":[{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.7303619980812073},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6708940267562866},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6323754787445068},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.628849983215332},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6118705868721008},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5449591279029846},{"id":"https://openalex.org/C68359772","wikidata":"https://www.wikidata.org/wiki/Q185715","display_name":"Opportunity cost","level":2,"score":0.5091590285301208},{"id":"https://openalex.org/C8505890","wikidata":"https://www.wikidata.org/wiki/Q605095","display_name":"Budget constraint","level":2,"score":0.5033103823661804},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4899570047855377},{"id":"https://openalex.org/C77553402","wikidata":"https://www.wikidata.org/wiki/Q13222579","display_name":"Upper and lower bounds","level":2,"score":0.47527971863746643},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.42746463418006897},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2202477753162384},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17217350006103516},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.16273850202560425},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1516541838645935},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.11667519807815552},{"id":"https://openalex.org/C133425853","wikidata":"https://www.wikidata.org/wiki/Q60571","display_name":"Neoclassical economics","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/wsc.2013.6721481","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wsc.2013.6721481","pdf_url":null,"source":{"id":"https://openalex.org/S4363607809","display_name":"2013 Winter Simulations Conference (WSC)","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":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2013 Winter Simulations Conference (WSC)","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/87344","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/87344","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.651.5486","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.651.5486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://informs-sim.org/wsc13papers/includes/files/078.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1492655370","https://openalex.org/W1536615069","https://openalex.org/W1977764678","https://openalex.org/W1986412858","https://openalex.org/W2015923411","https://openalex.org/W2026507776","https://openalex.org/W2037728958","https://openalex.org/W2057564132","https://openalex.org/W2069209488","https://openalex.org/W2073577518","https://openalex.org/W2075625792","https://openalex.org/W2110674418","https://openalex.org/W2122470810","https://openalex.org/W2142858180","https://openalex.org/W2143242804","https://openalex.org/W2146879621","https://openalex.org/W2152518495","https://openalex.org/W2160860428","https://openalex.org/W3143806515","https://openalex.org/W3144544144","https://openalex.org/W3144637994","https://openalex.org/W3145648774","https://openalex.org/W3146317596","https://openalex.org/W3147226857","https://openalex.org/W3150387754","https://openalex.org/W4234706367","https://openalex.org/W4247949452","https://openalex.org/W4248052283","https://openalex.org/W6681381262"],"related_works":["https://openalex.org/W3125932063","https://openalex.org/W2188500270","https://openalex.org/W2303858293","https://openalex.org/W2915512527","https://openalex.org/W51364034","https://openalex.org/W2793336762","https://openalex.org/W2091548507","https://openalex.org/W2368816706","https://openalex.org/W3159414774","https://openalex.org/W4385728102"],"abstract_inverted_index":{"Constrained":[0],"ranking":[1],"and":[2,19,100],"selection":[3,40,51,68,80],"(R&S)":[4],"refers":[5],"to":[6,23,73,84],"the":[7,11,30,47,67,75,86,91],"problem":[8],"of":[9,49,77],"selecting":[10],"best":[12],"feasible":[13],"design":[14],"where":[15],"both":[16],"main":[17],"objective":[18],"constraint":[20],"measures":[21],"need":[22],"be":[24],"estimated":[25],"via":[26],"stochastic":[27],"simulation.":[28],"Despite":[29],"growing":[31],"interests":[32],"in":[33,58,89],"constrained":[34],"R&S,":[35],"none":[36],"has":[37],"considered":[38,63],"other":[39,59,79],"qualities":[41,81],"than":[42],"a":[43,113],"statistical":[44],"measure":[45],"called":[46],"probability":[48],"correct":[50],"(PCS).":[52],"In":[53],"contrast,":[54],"several":[55],"new":[56],"developments":[57],"R&S":[60],"literatures":[61],"have":[62],"financial":[64],"significance":[65],"as":[66],"quality.":[69],"This":[70],"paper":[71],"aims":[72],"lay":[74],"foundation":[76],"using":[78],"by":[82],"attempting":[83],"minimize":[85,105],"opportunity":[87,96],"cost":[88,97],"allocating":[90],"limited":[92],"simulation":[93],"budget.":[94],"The":[95],"is":[98],"defined":[99],"two":[101],"allocation":[102],"rules":[103],"which":[104],"its":[106],"upper":[107],"bound":[108],"are":[109],"presented":[110],"together":[111],"with":[112],"fully-sequential":[114],"heuristic":[115],"algorithm":[116],"for":[117],"implementation.":[118]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}