{"id":"https://openalex.org/W2973440781","doi":"https://doi.org/10.1080/00207543.2019.1665201","title":"A new medical staff allocation via simulation optimisation for an emergency department in Hong Kong","display_name":"A new medical staff allocation via simulation optimisation for an emergency department in Hong Kong","publication_year":2019,"publication_date":"2019-09-16","ids":{"openalex":"https://openalex.org/W2973440781","doi":"https://doi.org/10.1080/00207543.2019.1665201","mag":"2973440781"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2019.1665201","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2019.1665201","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/A5019624328","display_name":"Wenjie Chen","orcid":"https://orcid.org/0000-0003-4949-8949"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Wenjie Chen","raw_affiliation_strings":["Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China"],"raw_orcid":"https://orcid.org/0000-0003-4949-8949","affiliations":[{"raw_affiliation_string":"Department of Systems Engineering and Engineering Management, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000696820","display_name":"Hainan Guo","orcid":"https://orcid.org/0000-0002-6427-7389"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Hainan Guo","raw_affiliation_strings":["Research Institute of Business Analytics & Supply Chain Management, College of Management, Shenzhen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Research Institute of Business Analytics & Supply Chain Management, College of Management, Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002878668","display_name":"Kwok\u2010Leung Tsui","orcid":"https://orcid.org/0000-0002-0558-2279"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Kwok-Leung Tsui","raw_affiliation_strings":["School of Data Science, City University of Hong Kong, Hong Kong, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Data Science, City University of Hong Kong, Hong Kong, China","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5000696820"],"corresponding_institution_ids":["https://openalex.org/I180726961"],"apc_list":null,"apc_paid":null,"fwci":4.8567,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.9499393,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"58","issue":"19","first_page":"6004","last_page":"6023"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3604","display_name":"Emergency Medical Services"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12394","display_name":"Insurance and Financial Risk Management","score":0.9979000091552734,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.9815000295639038,"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/triage","display_name":"Triage","score":0.8852624893188477},{"id":"https://openalex.org/keywords/discrete-event-simulation","display_name":"Discrete event simulation","score":0.6811352968215942},{"id":"https://openalex.org/keywords/emergency-department","display_name":"Emergency department","score":0.6631175875663757},{"id":"https://openalex.org/keywords/simulated-annealing","display_name":"Simulated annealing","score":0.6619597673416138},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5863107442855835},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.5090081691741943},{"id":"https://openalex.org/keywords/emergency-management","display_name":"Emergency management","score":0.41784530878067017},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.35669851303100586},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.33596205711364746},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.3039648234844208},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.2872883975505829},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22779026627540588},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.16645336151123047},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.15615615248680115},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10775837302207947},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.10130316019058228}],"concepts":[{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.8852624893188477},{"id":"https://openalex.org/C147203929","wikidata":"https://www.wikidata.org/wiki/Q574814","display_name":"Discrete event simulation","level":2,"score":0.6811352968215942},{"id":"https://openalex.org/C2780724011","wikidata":"https://www.wikidata.org/wiki/Q1295316","display_name":"Emergency department","level":2,"score":0.6631175875663757},{"id":"https://openalex.org/C126980161","wikidata":"https://www.wikidata.org/wiki/Q863783","display_name":"Simulated annealing","level":2,"score":0.6619597673416138},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5863107442855835},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.5090081691741943},{"id":"https://openalex.org/C62555980","wikidata":"https://www.wikidata.org/wiki/Q1460420","display_name":"Emergency management","level":2,"score":0.41784530878067017},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.35669851303100586},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.33596205711364746},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.3039648234844208},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.2872883975505829},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22779026627540588},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.16645336151123047},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.15615615248680115},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10775837302207947},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.10130316019058228},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/00207543.2019.1665201","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2019.1665201","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:58:y:2020:i:19:p:6004-6023","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2019.1665201","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":[],"awards":[{"id":"https://openalex.org/G4690113226","display_name":"\u57fa\u4e8e\u4eff\u771f\u4f18\u5316\u7684\u6025\u8bca\u533b\u62a4\u4eba\u5458\u914d\u7f6e\u4e0e\u8c03\u5ea6\u95ee\u9898\u7684\u7814\u7a76","funder_award_id":"71701132","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"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1488729186","https://openalex.org/W1911406358","https://openalex.org/W1964463841","https://openalex.org/W1974300040","https://openalex.org/W1978166138","https://openalex.org/W1983315917","https://openalex.org/W1992803797","https://openalex.org/W1995608474","https://openalex.org/W2000811885","https://openalex.org/W2015923411","https://openalex.org/W2024060531","https://openalex.org/W2024784120","https://openalex.org/W2036310824","https://openalex.org/W2045154709","https://openalex.org/W2047808226","https://openalex.org/W2056760934","https://openalex.org/W2083010719","https://openalex.org/W2096439120","https://openalex.org/W2121290284","https://openalex.org/W2125437500","https://openalex.org/W2133251503","https://openalex.org/W2141771453","https://openalex.org/W2148121522","https://openalex.org/W2160860428","https://openalex.org/W2162876093","https://openalex.org/W2166827312","https://openalex.org/W2174751983","https://openalex.org/W2201510846","https://openalex.org/W2335629539","https://openalex.org/W2463398758","https://openalex.org/W2471978209","https://openalex.org/W2574391987","https://openalex.org/W2613093268","https://openalex.org/W2794717456"],"related_works":["https://openalex.org/W4394761728","https://openalex.org/W1975091423","https://openalex.org/W2144451503","https://openalex.org/W2033023095","https://openalex.org/W125325933","https://openalex.org/W2941176721","https://openalex.org/W2051773733","https://openalex.org/W3015660457","https://openalex.org/W2909333182","https://openalex.org/W1983600708"],"abstract_inverted_index":{"Whether":[0],"triage":[1,27,45],"targets":[2,28],"can":[3],"be":[4],"achieved":[5],"has":[6],"been":[7],"an":[8,15,102],"imperative":[9],"assessment":[10],"of":[11,36,113,160],"service":[12],"qualities":[13],"for":[14,40,47,176],"emergency":[16,38,59],"department":[17],"in":[18,57,127,144,158],"healthcare":[19],"management.":[20],"In":[21],"this":[22],"research,":[23],"we":[24,82],"focus":[25],"on":[26,120],"and":[29,68,88,101,154,163],"try":[30],"to":[31,44,108,140,149],"fully":[32],"meet":[33],"the":[34,53,58,69,74,121,145,150],"target":[35],"fast":[37],"response":[39],"critical":[41],"patients":[42,50],"subject":[43],"requirements":[46],"other":[48,156],"category":[49],"by":[51],"optimising":[52],"medical":[54,114],"staff":[55,152],"allocation":[56,106,153],"department.":[60],"Main":[61],"challenges":[62],"stem":[63],"from":[64,123],"multiple":[65],"stochastic":[66],"constraints":[67],"time-consuming":[70],"simulation.":[71],"To":[72],"solve":[73],"stochastically":[75],"constrained":[76],"discrete":[77],"optimisation":[78],"via":[79],"simulation":[80,86,104],"problem,":[81],"develop":[83],"a":[84,90,97,110,124,141,172],"discrete-event":[85],"model":[87],"propose":[89],"simulated-annealing-based":[91],"algorithm":[92,138],"called":[93],"ConSA":[94],"that":[95,136,168],"adopts":[96],"special":[98],"searching":[99],"mechanism":[100],"efficient":[103],"budget":[105],"rule":[107],"find":[109],"high-quality":[111],"configuration":[112],"staff.":[115],"A":[116],"case":[117],"study":[118],"based":[119],"data":[122],"public":[125],"hospital":[126,177],"Hong":[128],"Kong":[129],"is":[130,171],"carried":[131],"out.":[132],"Numerical":[133],"experiments":[134],"demonstrate":[135],"our":[137,169],"leads":[139],"38.28%":[142],"improvement":[143],"main":[146],"performance":[147],"compared":[148],"current":[151],"dominates":[155],"algorithms":[157],"terms":[159],"computational":[161],"efficiency":[162],"output":[164],"accuracy.":[165],"It":[166],"indicates":[167],"method":[170],"good":[173],"decision":[174],"tool":[175],"managers.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}