{"id":"https://openalex.org/W3138136506","doi":"https://doi.org/10.1287/ijoc.2020.1048","title":"Integrated Multiresource Capacity Planning and Multitype Patient Scheduling","display_name":"Integrated Multiresource Capacity Planning and Multitype Patient Scheduling","publication_year":2021,"publication_date":"2021-03-18","ids":{"openalex":"https://openalex.org/W3138136506","doi":"https://doi.org/10.1287/ijoc.2020.1048","mag":"3138136506"},"language":"en","primary_location":{"id":"doi:10.1287/ijoc.2020.1048","is_oa":false,"landing_page_url":"https://doi.org/10.1287/ijoc.2020.1048","pdf_url":null,"source":{"id":"https://openalex.org/S165318533","display_name":"INFORMS journal on computing","issn_l":"0899-1499","issn":["0899-1499","1091-9856","1526-5528","2326-3245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INFORMS Journal on Computing","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/A5101782459","display_name":"Liping Zhou","orcid":"https://orcid.org/0009-0000-1725-8671"},"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":"Liping Zhou","raw_affiliation_strings":["Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China;"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China;","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072380471","display_name":"Na Geng","orcid":"https://orcid.org/0000-0001-5389-6072"},"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":"Na Geng","raw_affiliation_strings":["Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China;"],"raw_orcid":"https://orcid.org/0000-0001-5389-6072","affiliations":[{"raw_affiliation_string":"Sino-US Global Logistics Institute, Shanghai Jiao Tong University, Shanghai 200030, China;","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011681810","display_name":"Zhibin Jiang","orcid":"https://orcid.org/0000-0002-9241-0212"},"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":"Zhibin Jiang","raw_affiliation_strings":["Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China;"],"raw_orcid":"https://orcid.org/0000-0002-9241-0212","affiliations":[{"raw_affiliation_string":"Antai College of Economics and Management, Shanghai Jiao Tong University, Shanghai 200030, China;","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101958717","display_name":"Shan Jiang","orcid":"https://orcid.org/0000-0003-3763-1829"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Shan Jiang","raw_affiliation_strings":["Department of Industrial and Systems Engineering, Rutgers University, Piscataway, New Jersey 08854"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Industrial and Systems Engineering, Rutgers University, Piscataway, New Jersey 08854","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.673,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.82763852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"34","issue":"1","first_page":"129","last_page":"149"},"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/T10974","display_name":"Advanced Queuing Theory Analysis","score":0.984499990940094,"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"}},{"id":"https://openalex.org/T10391","display_name":"Healthcare Policy and Management","score":0.9603999853134155,"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/mathematical-optimization","display_name":"Mathematical optimization","score":0.7535444498062134},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6599372029304504},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5964200496673584},{"id":"https://openalex.org/keywords/markov-decision-process","display_name":"Markov decision process","score":0.559877872467041},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.4910695552825928},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.462117463350296},{"id":"https://openalex.org/keywords/stochastic-programming","display_name":"Stochastic programming","score":0.4463813602924347},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.44137153029441833},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4338071942329407},{"id":"https://openalex.org/keywords/nurse-scheduling-problem","display_name":"Nurse scheduling problem","score":0.4169188141822815},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.3272925615310669},{"id":"https://openalex.org/keywords/markov-process","display_name":"Markov process","score":0.30287396907806396},{"id":"https://openalex.org/keywords/rate-monotonic-scheduling","display_name":"Rate-monotonic scheduling","score":0.29744863510131836},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25297975540161133},{"id":"https://openalex.org/keywords/schedule","display_name":"Schedule","score":0.252723753452301}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.7535444498062134},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6599372029304504},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5964200496673584},{"id":"https://openalex.org/C106189395","wikidata":"https://www.wikidata.org/wiki/Q176789","display_name":"Markov decision process","level":3,"score":0.559877872467041},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.4910695552825928},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.462117463350296},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.4463813602924347},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.44137153029441833},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4338071942329407},{"id":"https://openalex.org/C102370290","wikidata":"https://www.wikidata.org/wiki/Q7070210","display_name":"Nurse scheduling problem","level":5,"score":0.4169188141822815},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.3272925615310669},{"id":"https://openalex.org/C159886148","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov process","level":2,"score":0.30287396907806396},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.29744863510131836},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25297975540161133},{"id":"https://openalex.org/C68387754","wikidata":"https://www.wikidata.org/wiki/Q7271585","display_name":"Schedule","level":2,"score":0.252723753452301},{"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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1287/ijoc.2020.1048","is_oa":false,"landing_page_url":"https://doi.org/10.1287/ijoc.2020.1048","pdf_url":null,"source":{"id":"https://openalex.org/S165318533","display_name":"INFORMS journal on computing","issn_l":"0899-1499","issn":["0899-1499","1091-9856","1526-5528","2326-3245"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310315699","host_organization_name":"Institute for Operations Research and the Management Sciences","host_organization_lineage":["https://openalex.org/P4310315699"],"host_organization_lineage_names":["Institute for Operations Research and the Management Sciences"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"INFORMS Journal on Computing","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:inm:orijoc:v:34:y:2022:i:1:p:129-149","is_oa":false,"landing_page_url":"http://doi.org/10.1287/ijoc.2020.1048","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":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":76,"referenced_works":["https://openalex.org/W389907844","https://openalex.org/W1545619031","https://openalex.org/W1569990960","https://openalex.org/W1681011928","https://openalex.org/W1937255523","https://openalex.org/W1959670890","https://openalex.org/W1972680059","https://openalex.org/W1975639104","https://openalex.org/W1975924210","https://openalex.org/W1980314979","https://openalex.org/W1983916623","https://openalex.org/W1985656147","https://openalex.org/W1987471748","https://openalex.org/W1994593421","https://openalex.org/W1995209616","https://openalex.org/W1995871788","https://openalex.org/W2000888627","https://openalex.org/W2003321477","https://openalex.org/W2007261666","https://openalex.org/W2007275928","https://openalex.org/W2008176834","https://openalex.org/W2014320990","https://openalex.org/W2019710194","https://openalex.org/W2027602364","https://openalex.org/W2037305510","https://openalex.org/W2040358553","https://openalex.org/W2046680178","https://openalex.org/W2055427220","https://openalex.org/W2059470728","https://openalex.org/W2066827333","https://openalex.org/W2078724364","https://openalex.org/W2081035678","https://openalex.org/W2092758688","https://openalex.org/W2094910189","https://openalex.org/W2104249385","https://openalex.org/W2105990887","https://openalex.org/W2108197659","https://openalex.org/W2110819585","https://openalex.org/W2119941717","https://openalex.org/W2120137060","https://openalex.org/W2121585498","https://openalex.org/W2122291906","https://openalex.org/W2123619613","https://openalex.org/W2128483867","https://openalex.org/W2135178148","https://openalex.org/W2142728935","https://openalex.org/W2144743612","https://openalex.org/W2154093403","https://openalex.org/W2154232436","https://openalex.org/W2157943411","https://openalex.org/W2158458992","https://openalex.org/W2164768462","https://openalex.org/W2169405257","https://openalex.org/W2169746365","https://openalex.org/W2186356962","https://openalex.org/W2257931904","https://openalex.org/W2276937278","https://openalex.org/W2343842592","https://openalex.org/W2402387683","https://openalex.org/W2416587397","https://openalex.org/W2472113677","https://openalex.org/W2487144912","https://openalex.org/W2517055930","https://openalex.org/W2601832346","https://openalex.org/W2608402432","https://openalex.org/W2734834344","https://openalex.org/W2752658554","https://openalex.org/W2790253573","https://openalex.org/W2915454501","https://openalex.org/W2963250537","https://openalex.org/W3123517799","https://openalex.org/W3124891448","https://openalex.org/W4206264893","https://openalex.org/W4214827656","https://openalex.org/W4241291962","https://openalex.org/W4298023569"],"related_works":["https://openalex.org/W2905055379","https://openalex.org/W2110698131","https://openalex.org/W2991146642","https://openalex.org/W4211139812","https://openalex.org/W3124982508","https://openalex.org/W2169324952","https://openalex.org/W2037750699","https://openalex.org/W2480575007","https://openalex.org/W3138136506","https://openalex.org/W4280553945"],"abstract_inverted_index":{"The":[0,24,95,236],"joint":[1,146,241,307],"optimization":[2,73,147,242,308],"problem":[3,30,98,148,162,309,382],"of":[4,56,124,208,228,243,300,310,336,366,385],"multiresource":[5,311],"capacity":[6,17,35,93,244,312,323,386],"planning":[7,245,313,387],"and":[8,15,37,92,119,177,200,211,246,291,314,321,338,354,372,388,414,425,444],"multitype":[9,113,166,315],"patient":[10,40,90,96,114,132,247,267,316,389],"scheduling":[11,41,91,97,127,248,268,317,390],"under":[12,116,318],"uncertain":[13,319],"demands":[14,320],"random":[16,322],"consumption":[18],"poses":[19,326],"a":[20,69,102,164,174,178,220,229,261,327,345,380,438],"significant":[21,328],"computational":[22,329],"challenge.":[23,330],"common":[25],"practice":[26],"in":[27,53,64,233,391,396,429],"solving":[28],"this":[29,65,150,303,342,375,430],"is":[31,99,155,191,377,401],"to":[32,47,60,143,157,219,260,264,333,404],"first":[33,107],"identify":[34],"levels":[36],"then":[38,120],"determine":[39],"decisions":[42,49],"separately,":[43],"which":[44,80,190,325,400],"typically":[45],"leads":[46],"suboptimal":[48],"that":[50,75,239,276,292],"often":[51],"result":[52],"ineffective":[54],"outcomes":[55],"care.":[57],"In":[58],"order":[59],"overcome":[61],"these":[62,77,136,293],"inefficiencies,":[63],"paper,":[66,431],"we":[67,138,172,215,274],"propose":[68,139,173],"novel":[70],"two-stage":[71,161,179],"stochastic":[72,180,368],"model":[74,183,256],"integrates":[76],"two":[78],"decisions,":[79],"can":[81,257,434],"lower":[82],"costs":[83],"by":[84,185,194,284,379],"exploring":[85],"the":[86,109,112,125,130,145,159,186,201,206,224,240,252,285,306,334,392,410,420,432],"coupling":[87],"relationship":[88],"between":[89],"configuration.":[94],"modeled":[100],"as":[101,282],"Markov":[103],"decision":[104,439],"process.":[105],"We":[106],"analyze":[108],"properties":[110,123],"for":[111,129,149,163,408,442],"case":[115],"specific":[117],"assumptions":[118],"establish":[121],"structural":[122],"optimal":[126,140],"policy":[128,176],"one-type":[131],"case.":[133,152],"Based":[134],"on":[135],"findings,":[137],"solution":[141,352,423],"algorithms":[142],"solve":[144,158],"special":[151],"Because":[153],"it":[154],"intractable":[156],"original":[160],"general":[165],"system":[167],"with":[168,437],"large":[169,230],"state":[170],"space,":[171],"heuristic":[175],"mixed-integer":[181],"programming":[182],"solved":[184],"Benders":[187],"decomposition":[188],"algorithm,":[189],"further":[192],"improved":[193],"combining":[195],"an":[196,288],"approximate":[197],"linear":[198],"program":[199],"look-ahead":[202],"strategy.":[203],"To":[204],"illustrate":[205],"efficiency":[207],"our":[209,217,255,277,397],"approaches":[210,278,294],"draw":[212],"managerial":[213],"insights,":[214],"apply":[216],"solutions":[218],"data":[221],"set":[222],"from":[223],"day":[225,393],"surgery":[226,394],"center":[227],"public":[231],"hospital":[232],"Shanghai,":[234],"China.":[235],"results":[237],"show":[238],"could":[249],"significantly":[250],"improve":[251],"performance.":[253],"Furthermore,":[254],"be":[258,435],"applied":[259],"rolling-horizon":[262],"framework":[263],"optimize":[265],"dynamic":[266,367],"decisions.":[269,447],"Through":[270],"extensive":[271,356],"numerical":[272,357],"analyses,":[273],"demonstrate":[275],"yield":[279],"good":[280],"performances,":[281],"measured":[283],"gap":[286],"against":[287],"upper":[289],"bound,":[290],"outperform":[295],"several":[296],"benchmark":[297],"policies.":[298],"Summary":[299],"Contribution:":[301],"First,":[302],"paper":[304,343,376],"investigates":[305],"consumption,":[324],"It":[331],"belongs":[332],"scope":[335],"computing":[337,370,415],"operations":[339],"research.":[340],"Second,":[341],"formulates":[344],"mathematical":[346],"model,":[347],"establishes":[348],"optimality":[349,421],"properties,":[350,422],"proposes":[351],"algorithms,":[353,371,424],"performs":[355],"experiments":[358],"using":[359,419],"real-world":[360],"data.":[361],"This":[362],"work":[363],"includes":[364],"aspects":[365],"control,":[369],"experiments.":[373],"Moreover,":[374],"motivated":[378],"practical":[381],"(joint":[383],"management":[384,426],"center)":[395],"cooperative":[398],"hospital,":[399],"also":[402],"key":[403],"numerous":[405],"other":[406],"applications,":[407],"example,":[409],"make-to-order":[411],"manufacturing":[412],"systems":[413],"facility":[416],"systems.":[417],"By":[418],"insights":[427],"derived":[428],"practitioners":[433],"equipped":[436],"support":[440],"tool":[441],"efficient":[443],"effective":[445],"operation":[446]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-07T14:30:12.667765","created_date":"2025-10-10T00:00:00"}