{"id":"https://openalex.org/W2050487483","doi":"https://doi.org/10.1109/coase.2014.6899456","title":"A mixed integer programming model for Bed planning considering stochastic length of stay","display_name":"A mixed integer programming model for Bed planning considering stochastic length of stay","publication_year":2014,"publication_date":"2014-08-01","ids":{"openalex":"https://openalex.org/W2050487483","doi":"https://doi.org/10.1109/coase.2014.6899456","mag":"2050487483"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2014.6899456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2014.6899456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Automation Science and Engineering (CASE)","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/A5005354896","display_name":"Lei Xu","orcid":"https://orcid.org/0000-0002-2763-1318"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xu Lei","raw_affiliation_strings":["Industrial Engineering, Shanghai Jiao Tong University, Shanghai, CN","Industrial Engineering, Shanghai Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering, Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Industrial Engineering, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101759340","display_name":"Li Na","orcid":"https://orcid.org/0000-0002-7127-3239"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Na","raw_affiliation_strings":["Industrial Engineering, Shanghai Jiao Tong University, Shanghai, CN","Shanghai Jiaotong University China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering, Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Shanghai Jiaotong University China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100518221","display_name":"Xin Yu","orcid":"https://orcid.org/0009-0005-6640-1223"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Xin","raw_affiliation_strings":["Industrial Engineering, Shanghai Jiao Tong University, Shanghai, CN","Industrial Engineering, Shanghai Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering, Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Industrial Engineering, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005989806","display_name":"M.K.H. Fan","orcid":"https://orcid.org/0009-0009-6362-2142"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mo Fan","raw_affiliation_strings":["Industrial Engineering, Shanghai Jiao Tong University, Shanghai, CN","Industrial Engineering, Shanghai Jiaotong University, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Industrial Engineering, Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Industrial Engineering, Shanghai Jiaotong University, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.14388489,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"18","issue":null,"first_page":"1069","last_page":"1074"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9995999932289124,"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":0.9995999932289124,"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/T12174","display_name":"Hospital Admissions and Outcomes","score":0.9908000230789185,"subfield":{"id":"https://openalex.org/subfields/2711","display_name":"Emergency Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10391","display_name":"Healthcare Policy and Management","score":0.9704999923706055,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.765235424041748},{"id":"https://openalex.org/keywords/solver","display_name":"Solver","score":0.7044216990470886},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.6234581470489502},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.5952239632606506},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.5583168864250183},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.552800714969635},{"id":"https://openalex.org/keywords/integer","display_name":"Integer (computer science)","score":0.5010454654693604},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.4958823621273041},{"id":"https://openalex.org/keywords/stochastic-programming","display_name":"Stochastic programming","score":0.4641948938369751},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2820640802383423}],"concepts":[{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.765235424041748},{"id":"https://openalex.org/C2778770139","wikidata":"https://www.wikidata.org/wiki/Q1966904","display_name":"Solver","level":2,"score":0.7044216990470886},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.6234581470489502},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.5952239632606506},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.5583168864250183},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.552800714969635},{"id":"https://openalex.org/C97137487","wikidata":"https://www.wikidata.org/wiki/Q729138","display_name":"Integer (computer science)","level":2,"score":0.5010454654693604},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.4958823621273041},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.4641948938369751},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2820640802383423},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2014.6899456","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2014.6899456","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2014 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.49000000953674316,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W85429853","https://openalex.org/W1980790517","https://openalex.org/W2009652947","https://openalex.org/W2056346592","https://openalex.org/W2115549842"],"related_works":["https://openalex.org/W2047683846","https://openalex.org/W2044902158","https://openalex.org/W2109912052","https://openalex.org/W1711527768","https://openalex.org/W1523365952","https://openalex.org/W4285278887","https://openalex.org/W2365237642","https://openalex.org/W2995925505","https://openalex.org/W3116484972","https://openalex.org/W2382905498"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,58],"study":[4],"hospital":[5],"bed":[6,83,103],"planning":[7,104],"problem":[8],"for":[9],"a":[10,18,61],"gynecological":[11],"ward":[12],"in":[13],"China.":[14],"We":[15],"first":[16],"proposed":[17,60,90],"mixed":[19],"integer":[20],"programming":[21,77],"(MIP)":[22],"model":[23,57,63,99],"considering":[24],"deterministic":[25,55],"length":[26],"of":[27,39,46,82],"stay":[28],"(LOS)":[29],"to":[30,33],"assign":[31],"patients":[32],"available":[34],"beds.":[35],"Since":[36],"statistical":[37],"analysis":[38],"empirical":[40],"hospitalization":[41],"data":[42],"reveals":[43],"that":[44],"variance":[45],"inpatient's":[47],"LOS":[48,56,66,98],"is":[49],"significant.":[50],"Therefore,":[51],"based":[52],"on":[53],"the":[54,88],"further":[59],"MIP":[62],"taking":[64],"stochastic":[65,97],"into":[67],"consideration.":[68],"Both":[69],"models":[70,91],"could":[71],"be":[72],"solved":[73],"by":[74],"standard":[75],"linear":[76],"solver":[78],"CPLEX.":[79],"Numerical":[80],"experiments":[81],"assignment":[84],"results":[85],"comparison":[86],"between":[87],"two":[89],"are":[92],"presented.":[93],"The":[94],"result":[95],"shows":[96],"can":[100],"generate":[101],"better":[102],"solutions":[105],"with":[106],"lower":[107],"potential":[108],"schedule":[109],"conflict":[110],"cost.":[111]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}