Vahid Kayvanfar, Roberto Baldacci, Kannan Govindan
{"title":"加强手术室管理的综合方法:能力规划、公平调度和外科医生弹性","authors":"Vahid Kayvanfar, Roberto Baldacci, Kannan Govindan","doi":"10.1007/s10479-025-06565-0","DOIUrl":null,"url":null,"abstract":"<div><p>In the realm of operating room management (ORM), several key challenges loom large, including the reduction of overtime and idle time for surgeons, avoiding overutilization and underutilization of ORs, and the equitable allocation of patients to surgeons to mitigate workload pressures. Moreover, the potential disruption risks associated with surgeons can lead to surgery cancellations. This research presents a comprehensive framework for addressing these challenges through a unified approach encompassing capacity planning and equitable scheduling within surgery departments. An essential component of this approach involves the identification of backup surgeons to minimize the surgery cancellations risk attributable to surgeon unavailability. The capacity planning phase is executed in the initial stage, leveraging Markovian queueing systems to optimize resource allocation. In the second stage, a resilient scheduling model is introduced, considering the equitable assignment of patients to surgeons. This scheduling model is developed using a goal programming approach and is solved efficiently using a novel decomposition-based heuristic method designed to expedite the optimal solution attainment. To validate the efficacy of this innovative approach, a real-world case study is undertaken, showcasing its practical application and demonstrating its proficiency in addressing the complex challenges inherent in ORM, followed by some valuable managerial insights. By implementing the proposed approach, the optimal number of operating rooms is obtained from the preceding queueing model in the capacity planning phase, and the effect of changing surgeon numbers is analyzed. Results show that optimizing unit capacity improves surgery scheduling and demonstrates the proposed framework’s efficiency.</p></div>","PeriodicalId":8215,"journal":{"name":"Annals of Operations Research","volume":"350 3","pages":"1385 - 1412"},"PeriodicalIF":4.5000,"publicationDate":"2025-05-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s10479-025-06565-0.pdf","citationCount":"0","resultStr":"{\"title\":\"An integrated approach for enhancing operating room management: capacity planning, fair scheduling, and surgeon resilience\",\"authors\":\"Vahid Kayvanfar, Roberto Baldacci, Kannan Govindan\",\"doi\":\"10.1007/s10479-025-06565-0\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>In the realm of operating room management (ORM), several key challenges loom large, including the reduction of overtime and idle time for surgeons, avoiding overutilization and underutilization of ORs, and the equitable allocation of patients to surgeons to mitigate workload pressures. Moreover, the potential disruption risks associated with surgeons can lead to surgery cancellations. This research presents a comprehensive framework for addressing these challenges through a unified approach encompassing capacity planning and equitable scheduling within surgery departments. An essential component of this approach involves the identification of backup surgeons to minimize the surgery cancellations risk attributable to surgeon unavailability. The capacity planning phase is executed in the initial stage, leveraging Markovian queueing systems to optimize resource allocation. In the second stage, a resilient scheduling model is introduced, considering the equitable assignment of patients to surgeons. This scheduling model is developed using a goal programming approach and is solved efficiently using a novel decomposition-based heuristic method designed to expedite the optimal solution attainment. To validate the efficacy of this innovative approach, a real-world case study is undertaken, showcasing its practical application and demonstrating its proficiency in addressing the complex challenges inherent in ORM, followed by some valuable managerial insights. By implementing the proposed approach, the optimal number of operating rooms is obtained from the preceding queueing model in the capacity planning phase, and the effect of changing surgeon numbers is analyzed. Results show that optimizing unit capacity improves surgery scheduling and demonstrates the proposed framework’s efficiency.</p></div>\",\"PeriodicalId\":8215,\"journal\":{\"name\":\"Annals of Operations Research\",\"volume\":\"350 3\",\"pages\":\"1385 - 1412\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-05-20\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://link.springer.com/content/pdf/10.1007/s10479-025-06565-0.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Operations Research\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10479-025-06565-0\",\"RegionNum\":3,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"OPERATIONS RESEARCH & MANAGEMENT SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Operations Research","FirstCategoryId":"91","ListUrlMain":"https://link.springer.com/article/10.1007/s10479-025-06565-0","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"OPERATIONS RESEARCH & MANAGEMENT SCIENCE","Score":null,"Total":0}
An integrated approach for enhancing operating room management: capacity planning, fair scheduling, and surgeon resilience
In the realm of operating room management (ORM), several key challenges loom large, including the reduction of overtime and idle time for surgeons, avoiding overutilization and underutilization of ORs, and the equitable allocation of patients to surgeons to mitigate workload pressures. Moreover, the potential disruption risks associated with surgeons can lead to surgery cancellations. This research presents a comprehensive framework for addressing these challenges through a unified approach encompassing capacity planning and equitable scheduling within surgery departments. An essential component of this approach involves the identification of backup surgeons to minimize the surgery cancellations risk attributable to surgeon unavailability. The capacity planning phase is executed in the initial stage, leveraging Markovian queueing systems to optimize resource allocation. In the second stage, a resilient scheduling model is introduced, considering the equitable assignment of patients to surgeons. This scheduling model is developed using a goal programming approach and is solved efficiently using a novel decomposition-based heuristic method designed to expedite the optimal solution attainment. To validate the efficacy of this innovative approach, a real-world case study is undertaken, showcasing its practical application and demonstrating its proficiency in addressing the complex challenges inherent in ORM, followed by some valuable managerial insights. By implementing the proposed approach, the optimal number of operating rooms is obtained from the preceding queueing model in the capacity planning phase, and the effect of changing surgeon numbers is analyzed. Results show that optimizing unit capacity improves surgery scheduling and demonstrates the proposed framework’s efficiency.
期刊介绍:
The Annals of Operations Research publishes peer-reviewed original articles dealing with key aspects of operations research, including theory, practice, and computation. The journal publishes full-length research articles, short notes, expositions and surveys, reports on computational studies, and case studies that present new and innovative practical applications.
In addition to regular issues, the journal publishes periodic special volumes that focus on defined fields of operations research, ranging from the highly theoretical to the algorithmic and the applied. These volumes have one or more Guest Editors who are responsible for collecting the papers and overseeing the refereeing process.