{"id":"https://openalex.org/W2244846253","doi":"https://doi.org/10.1109/ieem.2015.7385742","title":"Capacity allocation for balancing cost and fairness in a imaging facility setting","display_name":"Capacity allocation for balancing cost and fairness in a imaging facility setting","publication_year":2015,"publication_date":"2015-12-01","ids":{"openalex":"https://openalex.org/W2244846253","doi":"https://doi.org/10.1109/ieem.2015.7385742","mag":"2244846253"},"language":"en","primary_location":{"id":"doi:10.1109/ieem.2015.7385742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem.2015.7385742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","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/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":true,"raw_author_name":"Liping Zhou","raw_affiliation_strings":["Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, 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":["Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, 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":["Shanghai Jiao Tong University, Shanghai, CN"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, CN","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5036881843","display_name":"Xiuxian Wang","orcid":"https://orcid.org/0000-0001-6641-022X"},"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":"Xiuxian Wang","raw_affiliation_strings":["Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Management, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101782459"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.15871384,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"721","last_page":"725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11773","display_name":"Healthcare Operations and Scheduling Optimization","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9876999855041504,"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/T12401","display_name":"Scheduling and Timetabling Solutions","score":0.9872000217437744,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.7712638974189758},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.7156833410263062},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6905595064163208},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.5097183585166931},{"id":"https://openalex.org/keywords/procurement","display_name":"Procurement","score":0.5091263651847839},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.46201080083847046},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.4228295087814331},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.12856373190879822},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12012052536010742},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.0900837779045105}],"concepts":[{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.7712638974189758},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.7156833410263062},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6905595064163208},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.5097183585166931},{"id":"https://openalex.org/C201650216","wikidata":"https://www.wikidata.org/wiki/Q829492","display_name":"Procurement","level":2,"score":0.5091263651847839},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.46201080083847046},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.4228295087814331},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.12856373190879822},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12012052536010742},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0900837779045105},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ieem.2015.7385742","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ieem.2015.7385742","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320330117","display_name":"Ruijin Hospital","ror":"https://ror.org/01hv94n30"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W1995871788","https://openalex.org/W2003633238","https://openalex.org/W2018661294","https://openalex.org/W2039397350","https://openalex.org/W2052169832","https://openalex.org/W2054039712","https://openalex.org/W2081035678","https://openalex.org/W2139727821","https://openalex.org/W2169534019"],"related_works":["https://openalex.org/W2595172197","https://openalex.org/W2084856301","https://openalex.org/W2127970246","https://openalex.org/W2953234277","https://openalex.org/W4285278887","https://openalex.org/W2365237642","https://openalex.org/W2995925505","https://openalex.org/W2773399470","https://openalex.org/W3116484972","https://openalex.org/W2941986668"],"abstract_inverted_index":{"Due":[0],"to":[1,38,56,92,119],"expensive":[2],"procurement":[3],"cost":[4,101],"and":[5,102,114,127],"high":[6],"operating":[7],"cost,":[8],"Magnetic":[9],"Resonance":[10],"Imaging":[11],"(MRI)":[12],"is":[13,23,36,135],"usually":[14],"one":[15],"of":[16,27,32,74,89,98,123],"bottleneck":[17],"resources":[18],"in":[19,52,85],"hospitals.":[20],"As":[21],"MRI":[22],"shared":[24],"by":[25],"multi-types":[26],"patients":[28,49],"with":[29,95,108],"different":[30,42],"requirements":[31],"examinations,":[33],"setup":[34,58,115],"time":[35,113,116],"needed":[37],"change":[39],"coil":[40],"between":[41],"patient":[43,75],"types.":[44],"Therefore,":[45],"the":[46,79,87,96,121,124,130,138],"same":[47],"type":[48,94],"are":[50,117],"arranged":[51],"a":[53,70],"sequential":[54],"order":[55],"reduce":[57],"time.":[59],"This":[60],"paper":[61],"proposes":[62],"an":[63],"integer":[64],"linear":[65],"programming":[66],"model":[67],"based":[68],"on":[69],"long":[71],"sample":[72],"path":[73],"arrivals":[76],"for":[77],"optimizing":[78],"capacity":[80,90,132,141],"allocation.":[81],"The":[82],"problem":[83],"consists":[84],"determining":[86],"amount":[88],"allocates":[91],"each":[93],"objective":[97],"balancing":[99],"total":[100],"medical":[103],"service":[104],"fairness.":[105],"Numerical":[106],"experiments":[107],"various":[109],"machine":[110],"daily":[111],"working":[112],"performed":[118],"show":[120],"efficiency":[122],"proposed":[125,131],"approach":[126],"demonstrate":[128],"that":[129],"allocation":[133],"solution":[134],"better":[136],"than":[137],"widely":[139],"used":[140],"pooling":[142],"solution.":[143]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
