[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"detail-sidebar-cat-1-en-105":3,"doc-seo-393235-105":53,"doc-detail-393235-en":127},{"code":4,"msg":5,"data":6},0,"success",[7,14,19,24,29,34,39,44,49],{"id":8,"doc_module":9,"doc_module_name":10,"category_name":11,"show_sort_weight":12,"slug":13},11,1,"Template","Presentations",90,"presentations",{"id":15,"doc_module":9,"doc_module_name":10,"category_name":16,"show_sort_weight":17,"slug":18},12,"Resumes",80,"resumes",{"id":20,"doc_module":9,"doc_module_name":10,"category_name":21,"show_sort_weight":22,"slug":23},14,"Invoices",70,"invoices",{"id":25,"doc_module":9,"doc_module_name":10,"category_name":26,"show_sort_weight":27,"slug":28},15,"Posters",60,"posters",{"id":30,"doc_module":9,"doc_module_name":10,"category_name":31,"show_sort_weight":32,"slug":33},16,"Social Media",50,"social-media",{"id":35,"doc_module":9,"doc_module_name":10,"category_name":36,"show_sort_weight":37,"slug":38},17,"Forms",40,"forms",{"id":40,"doc_module":9,"doc_module_name":10,"category_name":41,"show_sort_weight":42,"slug":43},18,"Letters",30,"letters",{"id":45,"doc_module":9,"doc_module_name":10,"category_name":46,"show_sort_weight":47,"slug":48},21,"Paper Templates",5,"papers-templates",{"id":50,"doc_module":9,"doc_module_name":10,"category_name":51,"show_sort_weight":4,"slug":52},158,"General","general-158",{"code":4,"msg":54,"data":55},"ok",{"site_id":56,"language":57,"slug":58,"title":59,"keywords":60,"description":61,"schema_data":62,"social_meta":120,"head_meta":122,"extra_data":124,"updated_unix":126},105,"en","stochastic-programming-models-for-optimization-of-surgery-delivery-systems-overview","Stochastic Programming Models for Optimization of Surgery Delivery Systems - Overview","","Stochastic programming models are used to optimize surgery delivery systems by representing scheduling and allocation decisions under uncertainty. The material outlines the surgical process—including patient intake, surgery, and recovery—and identifies operational decisions such as the number of operating rooms and staff to activate, surgery-to-OR assignments, and how to schedule resources across intake, surgery, and recovery. It also motivates the work using U.S. healthcare expenditure context and compares facility types like hospitals and ambulatory surgery centers, highlighting competing criteria and complex constraints.",{"@graph":63,"@context":119},[64,80,102],{"@type":65,"itemListElement":66},"BreadcrumbList",[67,71,74,77],{"item":68,"name":69,"@type":70,"position":9},"https://docshare.wps.com","Home","ListItem",{"item":72,"name":10,"@type":70,"position":73},"https://docshare.wps.com/template/",2,{"item":75,"name":51,"@type":70,"position":76},"https://docshare.wps.com/template/general/",3,{"item":78,"name":59,"@type":70,"position":79},"https://docshare.wps.com/template/stochastic-programming-models-for-optimization-of-surgery-delivery-systems-overview/393235/",4,{"url":78,"name":59,"@type":81,"image":82,"author":87,"headline":59,"publisher":90,"fileFormat":93,"inLanguage":57,"description":61,"dateModified":94,"datePublished":95,"encodingFormat":93,"isAccessibleForFree":96,"interactionStatistic":97},"DigitalDocument",{"url":83,"@type":84,"width":85,"height":86},"https://docshare.wps.com/thumbnails/stochastic-programming-models-for-optimization-of-surgery-delivery-systems-overview/393235.png","ImageObject",442,249,{"name":88,"@type":89},"LangkahRina","Person",{"url":68,"name":91,"@type":92},"DocShare","Organization","application/pdf","2026-10-31","2026-09-26",true,{"@type":98,"interactionType":99,"userInteractionCount":101},"InteractionCounter",{"@type":100},"ViewAction",9,{"@type":103,"mainEntity":104},"FAQPage",[105,111,115],{"name":106,"@type":107,"acceptedAnswer":108},"What surgery-delivery steps are considered in the models?","Question",{"text":109,"@type":110},"The document structures the process into patient intake, surgery, and recovery, covering activities and downstream care units such as PACU, ICU, and hospital beds.","Answer",{"name":112,"@type":107,"acceptedAnswer":113},"What operational decisions can operations research models support?",{"text":114,"@type":110},"Decisions include how many ORs and staff to activate each day, how to assign surgeries to ORs, how to schedule staff and patients across intake/surgery/recovery, and how to design the suite layout.",{"name":116,"@type":107,"acceptedAnswer":117},"Why is stochastic programming relevant for surgery scheduling?",{"text":118,"@type":110},"The approach addresses uncertainty in activity durations and coordinates many resource types and activities within highly constrained environments, often with competing criteria.","https://schema.org",{"og:url":78,"og:type":121,"og:title":59,"og:site_name":91,"og:description":61},"article",{"robots":123,"canonical":78},"index,follow",{"doc_id":125,"site_id":56},393235,1791431394,{"code":4,"msg":5,"data":128},{"doc_id":125,"user_id":129,"nickname":88,"user_avatar":130,"doc_module":9,"category_id":50,"category_name":51,"doc_title":59,"doc_description":61,"doc_content":131,"file_id":132,"file_url":133,"file_type":134,"file_size":135,"view_count":101,"is_deleted":4,"is_public":9,"is_downloadable":9,"audit_status":9,"page_count":136,"language":137,"language_code":57,"site_id":56,"html_lang":57,"table_of_contents":138,"faqs":139,"seo_title":140,"seo_description":61,"update_tm":141,"read_time":35},962090893776,"https://ap-avatar.wpscdn.com/davatar_155a257f0dc6eb9ab79c44ca47cae57d","Stochastic Programming Models for Optimization of Surgery Delivery Systems  \nBrian Denton  \nDepartment of Industrial and Operations Engineering  \nUniversity of Michigan  \nCollaborators  \nHari Balasubramanian (University of Massachusetts) Sakine Batun (University of Pittsburgh)  \nBjorn Berg (North Carolina State University) Todd Huschka (Mayo Clinic)  \nAndrew Miller (University of Bordeaux) Heidi Nelson (Mayo Clinic)  \nAhmed Rahman (Mayo Clinic)  \nAndrew Schaefer (University of Pittsburgh)  \nThis project is funded in part by the National Science Foundation through Grant Number: CMMI 0844511  \nSummary  \nIntroduction  \nSurgery process and complicating factors  \nExamples: OR = Operating Room  \n􀂃 Problem 1: Single OR scheduling  \n􀂃 Problem 2: Multi-OR surgery allocation  \n􀂃 Problem 3: Bi-criteria scheduling of a surgery suite  \nOther Related Research  \nMotivation  \n􀂃 Health care expenditures in the United States exceeded $2 trillion in 2012  \n􀂃 Surgery accounts for the single largest proportion of a  \n[U.S. hospital](U.S. hospital)’s total expenses and revenues  \n􀂃 Efficient access to surgery is important for patient health and safety  \nMotivation  \nSurgery in [the U.S. is](the U.S. is) performed in two types of facilities:  \n􀂃 Hospitals  \n􀂃 Open 24 hours a day  \n􀂃 Patient recover in the hospital  \n􀂃 Complex surgeries  \n􀂃 Ambulatory Surgery Centers  \n􀂃 Normally open 7am to 5pm  \n􀂃 Patients admitted and discharged same day  \n􀂃 Lower cost and lower infection rate than hospitals 5  \nSurgery Process  \nPatient Intake: administrative activities, pre-surgery exam, gowning, site prep, anesthetic  \nSurgery: incision, one or multiple procedures, pathology, closing  \nRecovery: post anesthesia care unit (PACU), ICU, hospital bed  \nIntake  \nSurgery  \nMayo Clinic, Rochester MN  \nThe work I will discuss is motivated by problems at Mayo Clinic in Rochester, MN, U.S.:  \nAmbulatory Surgery Center  \nA typical ambulatory surgery center:  Recovery rooms  \nPatient  \nwaiting area  \nOperating rooms  \nBlue lines represent patient flow 8  \nManagement Decisions  \nDecisions that can be supported with operations research models:  \n􀂃 Number of ORs and staff to activate each day  \n􀂃 Surgery-to-OR assignment decisions  \n􀂃 Scheduling of staff and patients in intake, surgery, and recovery  \n􀂃 How to design the suite (intake rooms, recovery rooms, ORs)  \nComplicating Factors  \n􀂃 Many types of resources to be scheduled: surgery team, equipment, materials  \n􀂃  High cost of resources and fixed time to complete activities  \n􀂃 Large number of activities to be coordinated in a highly constrained environment  \n􀂃  Uncertainty in duration of activities  \n􀂃 Many competing criteria","cbCaiupTUFqJ02FJ","https://ap.wps.com/l/cbCaiupTUFqJ02FJ","pdf",1183157,48,"English","# Introduction\n## Surgery process and complicating factors\n## Examples of optimization problems\n## Other related research\n# Motivation\n## U.S. healthcare expenditure and surgical access\n## Facility types: hospitals vs. ambulatory surgery centers\n# Surgery process\n## Intake\n## Surgery\n## Recovery\n# Management decisions\n## ORs and staff activation\n## Surgery-to-OR assignment\n## Staff and patient scheduling\n## Suite design\n# Complicating factors\n## Resource variety and fixed activity times\n## Coordination under constraints\n## Uncertainty in activity durations\n## Competing criteria","[{\"question\":\"What surgery-delivery steps are considered in the models?\",\"answer\":\"The document structures the process into patient intake, surgery, and recovery, covering activities and downstream care units such as PACU, ICU, and hospital beds.\"},{\"question\":\"What operational decisions can operations research models support?\",\"answer\":\"Decisions include how many ORs and staff to activate each day, how to assign surgeries to ORs, how to schedule staff and patients across intake/surgery/recovery, and how to design the suite layout.\"},{\"question\":\"Why is stochastic programming relevant for surgery scheduling?\",\"answer\":\"The approach addresses uncertainty in activity durations and coordinates many resource types and activities within highly constrained environments, often with competing criteria.\"}]","Stochastic Programming Models for Optimization of Surgery Delivery Systems - Overview | PDF",1790381340]