{"id":"https://openalex.org/W7082638822","doi":"https://doi.org/10.1109/tase.2025.3612390","title":"Optimizing Technician Staffing and Scheduling in Medical Procedure Services Using Two-Stage Stochastic Integer Programming","display_name":"Optimizing Technician Staffing and Scheduling in Medical Procedure Services Using Two-Stage Stochastic Integer Programming","publication_year":2025,"publication_date":"2025-09-22","ids":{"openalex":"https://openalex.org/W7082638822","doi":"https://doi.org/10.1109/tase.2025.3612390"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2025.3612390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3612390","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","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":null,"display_name":"Mirui Zhang","orcid":"https://orcid.org/0009-0001-7235-3759"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mirui Zhang","raw_affiliation_strings":["Department of Industrial Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-7235-3759","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Narges Shahraki","orcid":null},"institutions":[{"id":"https://openalex.org/I4210125099","display_name":"Mayo Clinic in Arizona","ror":"https://ror.org/03jp40720","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1330342723","https://openalex.org/I4210125099"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Narges Shahraki","raw_affiliation_strings":["Mayo Clinic, Rochester, MN, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mayo Clinic, Rochester, MN, USA","institution_ids":["https://openalex.org/I4210125099"]}]},{"author_position":"last","author":{"id":null,"display_name":"Feifan Wang","orcid":"https://orcid.org/0000-0002-8204-8758"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feifan Wang","raw_affiliation_strings":["Department of Industrial Engineering, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-8204-8758","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.52781958,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"23","issue":null,"first_page":"3083","last_page":"3096"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13231","display_name":"History, Culture, and Diplomacy","score":0.032099999487400055,"subfield":{"id":"https://openalex.org/subfields/1202","display_name":"History"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13231","display_name":"History, Culture, and Diplomacy","score":0.032099999487400055,"subfield":{"id":"https://openalex.org/subfields/1202","display_name":"History"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14379","display_name":"Diverse Cultural and Historical Studies","score":0.025499999523162842,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T14278","display_name":"Marxism and Critical Theory","score":0.025200000032782555,"subfield":{"id":"https://openalex.org/subfields/1211","display_name":"Philosophy"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/technician","display_name":"Technician","score":0.8281000256538391},{"id":"https://openalex.org/keywords/staffing","display_name":"Staffing","score":0.8122000098228455},{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.771399974822998},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6500999927520752},{"id":"https://openalex.org/keywords/job-shop-scheduling","display_name":"Job shop scheduling","score":0.5508000254631042},{"id":"https://openalex.org/keywords/integer-programming","display_name":"Integer programming","score":0.4666999876499176},{"id":"https://openalex.org/keywords/linear-programming","display_name":"Linear programming","score":0.3603000044822693},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.3192000091075897}],"concepts":[{"id":"https://openalex.org/C2776229289","wikidata":"https://www.wikidata.org/wiki/Q5352191","display_name":"Technician","level":2,"score":0.8281000256538391},{"id":"https://openalex.org/C2777512617","wikidata":"https://www.wikidata.org/wiki/Q1783605","display_name":"Staffing","level":2,"score":0.8122000098228455},{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.771399974822998},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6500999927520752},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6154999732971191},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.5508000254631042},{"id":"https://openalex.org/C56086750","wikidata":"https://www.wikidata.org/wiki/Q6042592","display_name":"Integer programming","level":2,"score":0.4666999876499176},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4311000108718872},{"id":"https://openalex.org/C41045048","wikidata":"https://www.wikidata.org/wiki/Q202843","display_name":"Linear programming","level":2,"score":0.3603000044822693},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35190001130104065},{"id":"https://openalex.org/C13736549","wikidata":"https://www.wikidata.org/wiki/Q4489420","display_name":"Industrial engineering","level":1,"score":0.32820001244544983},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.3192000091075897},{"id":"https://openalex.org/C2781007418","wikidata":"https://www.wikidata.org/wiki/Q1456934","display_name":"Capacity planning","level":2,"score":0.31700000166893005},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.31369999051094055},{"id":"https://openalex.org/C137631369","wikidata":"https://www.wikidata.org/wiki/Q7617831","display_name":"Stochastic programming","level":2,"score":0.31360000371932983},{"id":"https://openalex.org/C3018075012","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Medical services","level":3,"score":0.3116999864578247},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.2985000014305115},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.2953000068664551},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2782999873161316},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.27239999175071716},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.266400009393692},{"id":"https://openalex.org/C27665512","wikidata":"https://www.wikidata.org/wiki/Q3042795","display_name":"Benders' decomposition","level":2,"score":0.2632000148296356},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.2535000145435333},{"id":"https://openalex.org/C37404715","wikidata":"https://www.wikidata.org/wiki/Q380679","display_name":"Dynamic programming","level":2,"score":0.2531000077724457}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2025.3612390","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3612390","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G8866523523","display_name":null,"funder_award_id":"72401156","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1959670890","https://openalex.org/W1968026351","https://openalex.org/W1969782132","https://openalex.org/W1973687748","https://openalex.org/W1982444996","https://openalex.org/W1988708431","https://openalex.org/W1998011595","https://openalex.org/W2013561074","https://openalex.org/W2044121814","https://openalex.org/W2067802172","https://openalex.org/W2077745710","https://openalex.org/W2081035678","https://openalex.org/W2086522200","https://openalex.org/W2100387313","https://openalex.org/W2111388156","https://openalex.org/W2130704429","https://openalex.org/W2149929637","https://openalex.org/W2739021589","https://openalex.org/W2744387062","https://openalex.org/W2806805620","https://openalex.org/W2938697689","https://openalex.org/W2974354030","https://openalex.org/W2987482945","https://openalex.org/W3007020835","https://openalex.org/W3082626043","https://openalex.org/W3202458098","https://openalex.org/W4226143171","https://openalex.org/W4238824752","https://openalex.org/W4319659717","https://openalex.org/W4382919463","https://openalex.org/W4387143407","https://openalex.org/W4388210509"],"related_works":[],"abstract_inverted_index":{"Technicians":[0],"in":[1,13,32],"medical":[2],"procedure":[3,14],"services":[4],"are":[5],"essential":[6],"for":[7,100],"ensuring":[8],"smooth":[9],"procedures.":[10],"Widely":[11],"seen":[12],"rooms":[15],"and":[16,29,40,66,73,95,103,132,151,159],"operating":[17],"rooms,":[18],"fixed":[19],"work":[20,153],"shifts":[21,154],"can":[22,48],"cause":[23],"a":[24,88],"mismatch":[25],"between":[26],"technician":[27,41,59,71],"demand":[28],"supply,":[30],"resulting":[31],"overtime.":[33],"It":[34],"may":[35],"compromise":[36],"patient":[37],"care":[38],"quality":[39,131],"job":[42],"satisfaction.":[43],"While":[44],"flexible":[45],"shift":[46],"scheduling":[47,96],"help":[49],"balance":[50],"workload,":[51],"it":[52],"remains":[53],"challenging":[54],"to":[55,62,114],"determine":[56],"the":[57,80,122,136,146,160],"optimal":[58],"team":[60],"configuration":[61],"avoid":[63],"both":[64,101],"understaffing":[65],"overstaffing.":[67],"The":[68],"uncertainties":[69],"of":[70,139,148,162],"workload":[72,102],"paid":[74],"time":[75],"off":[76],"(PTO)":[77],"further":[78],"complicate":[79],"problem.":[81],"To":[82],"address":[83],"these":[84],"challenges,":[85],"we":[86],"propose":[87,107],"two-stage":[89],"stochastic":[90],"programming":[91],"model":[92],"integrating":[93],"staffing":[94],"decisions,":[97],"while":[98],"accounting":[99],"PTO":[104],"uncertainties.":[105],"We":[106],"an":[108],"algorithm":[109,124],"based":[110],"on":[111],"Benders\u2019":[112],"decomposition":[113],"identify":[115],"high-quality":[116],"solutions.":[117],"Numerical":[118],"experiments":[119],"suggest":[120],"that":[121],"proposed":[123],"solves":[125],"large-scale":[126],"problems":[127],"with":[128,155],"high":[129],"solution":[130],"faster":[133],"speed":[134],"than":[135],"direct":[137],"use":[138],"Gurobi":[140],"Optimizer.":[141],"Our":[142],"analysis":[143],"also":[144],"highlights":[145],"effectiveness":[147],"adopting":[149],"8-":[150],"10-hour":[152],"different":[156],"start":[157],"times,":[158],"benefits":[161],"incorporating":[163],"PTO.":[164]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
