Optimal distribution of operating hours over operating rooms using probabilities

Koppka, Lisa; Wiesche, Lara; Schacht, Matthias; Werners, Brigitte

doi:10.1016/j.ejor.2017.12.025

Cited by 32 publications

(14 citation statements)

References 37 publications

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“…It verifies the importance of operating room and its proper utilization [9,10]. The operating room, especially surgical room has a particular sensitivity [11] and is considered as the most vital unit in medical centers [12]. Therefore, the smallest defect or non-compliance with a specific planning and pre-determined standards will cause problems [13].…”

Section: Introductionmentioning

confidence: 92%

“…Constraint (11) states that the waiting time to receive recovery services should be less than a fixed value for special patients who have undergone an operation. Constraint (12) states that for common patients who have undergone an operation, the waiting time to receive recovery services should be less than the fixed value. Constraint (13) states that if two patients in a ward ask to receive equipment, only one of the patients receives treatment and the other patient is put in the queue.…”

Section: Indicesmentioning

confidence: 99%

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Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

Maghzi

Mohammadi

Pasandide

et al. 2022

IJE

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T oday, planning and scheduling problems are the most significant issues in the world and make a great impact on improving organizational productivity and serving systems such as medical and healthcare providers. Since operating room planning is a major problem in healthcare organizations, the optimization of medical staff and equipment plays an essential role. Thus, this study presents a multiobjective mathematical model with a new categorization (preoperative, intraoperative, and postoperative) to minimize operating room scheduling and the risk of using equipment. Time constraints in healthcare systems and medical equipment limited capacity are the most significant considered limitation in the present study. In this regard, since the duration of patient preparation and implementation of treatment processes occur in three states of optimistic, pessimistic, and normal, the introduced parameters are examined relying on a fuzzy uncertainty analysis of the problem. Hence, the model is measured in a real numerical solution sample in a medical center to evaluate and confirm the proposed mathematical model. T hen, two meta-heuristic algorithms (NRGA and NSGAII) are implemented on the mathematical model to analyze the proposed model. Finally, the research results indicate that the NSGA-II is more efficient in the operating room scheduling problem.

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Section: Introductionmentioning

confidence: 92%

Section: Indicesmentioning

confidence: 99%

Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

Maghzi

Mohammadi

Pasandide

et al. 2022

IJE

View full text Add to dashboard Cite

show abstract

“…The strategic level covers all those decisions demanding a long-term planning horizon (from several months up to one year), such as capacity planning, allocation or case-mix problem (CMP). By forecasting the hospital demand, the aim is to efficiently distribute the available resources and the budget among the surgical specialties (see Fügener et al (2017), Marques and Captivo (2015), Koppka et al (2018)). The tactical level, or Master Surgical Scheduling problem (MSSP), is a simple cyclic and repetitive schedule used to assign OR times to groups of surgeons according to their specific needs.…”

Section: Introductionmentioning

confidence: 99%

Multi-criteria Optimization Scheduling of Surgical Units: a Case Study at AOU-Policlinico Umberto I

Croella

Tronci

Petitti

et al. 2021

Preprint

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Nowadays, Operating Rooms (ORs) scheduling and planning represent one of the most challenging aspects in healthcare systems management. In particular, one of the main concern is doubtless the under-use of the surgery rooms, that one can tackle by modelling different management decision aspects. The number of ORs available in the operating theatre and their daily opening time, the ideal OR Utilization Rate (UR) that the hospital aims to fulfil, the possibility to transfer patients between different surgical units (SUs) are just some of them. Taking into account these management and economic factors, we develop a multi-criteria integer linear optimization model for the advance scheduling of patients for the Azienda Ospedaliera - Universitaria Policlinico Umberto I of Rome, among the largest public hospitals in Europe for by total area occupied. The problem is formulated according to an open scheduling strategy that, for each surgical case placed on a waiting list, determines the date, time, and operating room resources needed. Extensive tests were carried out on real data collected during twelve weeks in two SUs, each of them consisting of two ORs. The aim of the study is to evaluate the impact of different policies of opening times on the hospital Key Performance Indicators (KPIs) of interest. The results show a relevant improvement of the ORs usage of the case study.

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“…The selected objective function maximizes the probability of a perfect day without overtime or cancellations. They considered surgery time and the number of patients in a day as uncertain parameters [17]. Moosavi and Ebrahimnejad proposed a multi-objective mathematical model for upstream and downstream units of ORs.…”

Section: Introductionmentioning

confidence: 99%

Robust Bi-Objective Operating Rooms Scheduling Problem Regarding the Shared Resources

et al. 2021

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In recent years, many efforts have been made to provide different strategies for enhancing the scheduling and planning of the operating rooms. The efficient planning and scheduling of ORs is a complex task since it has to account for the availability of human resources, medical equipment, and medication required for each surgery but that are often shared between different ORs. This paper proposes a mathematical approach to enhance the management of OR resources. It presents a bi-objective robust optimization approach for scheduling the surgeries in the ORs and recovery room, regarding the uncertainty of the surgery time, uncertainty of hospitalization time in the recovery room, and shared resources. The first objective function aims to minimize the maximum completion time of the surgeries and the second one minimizes the sum of the earliness-tardiness of the surgical operations. The suggested approach utilizes the multi-choice goal programming approach with utility function to solve the proposed model. The proposed approach is applied to a real case in the Shahid Beheshti hospital, Babol, Iran. The obtained results show that the suggested biobjective robust optimization approach can enhance OR scheduling and should be designed into a decision support system for OR management.

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Optimal distribution of operating hours over operating rooms using probabilities

Cited by 32 publications

References 37 publications

Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

Operating Room Scheduling Optimization Based on a Fuzzy Uncertainty Approach and Metaheuristic Algorithms

Multi-criteria Optimization Scheduling of Surgical Units: a Case Study at AOU-Policlinico Umberto I

Robust Bi-Objective Operating Rooms Scheduling Problem Regarding the Shared Resources

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