Scheduling of elective patients considering upstream and downstream units and emergency demand using robust optimization

Moosavi, Amirhossein; Ebrahimnejad, Sadoullah

doi:10.1016/j.cie.2018.04.047

Cited by 35 publications

(28 citation statements)

References 30 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: 95%

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: 95%

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

Maghzi

Mohammadi

Pasandide

et al. 2022

IJE

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“…Aringhieri et al cover the demands of some patients for surgery over the weekends and consider both the OR time blocking problem and the SSP together [23]. Moosavi and Ebrahimnejad consider the SSP when unscheduled surgeries defer to the next scheduling period [24]. Riise et al suppose any patient surgery as a project, which consists of several activities.…”

Section: The Surgery Scheduling Problem Literature Reviewmentioning

confidence: 99%

Efficient scheduling of emergency surgeries by adjusting the schedule of elective surgeries

et al. 2021

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The rapid growth of the population has resulted in an increasing demand for healthcare services, which forces managers to use costly resources such as operating rooms effectively. The surgery-scheduling problem is a general title for problems that consists of the patient selection and sequencing of the surgeries at the operational level, setting their start times, and assigning the resources. Hospital managers usually encounter elective surgeries that can be delayed slightly and emergency surgeries whose arrivals are unexpected, and most of them need quick access to operating rooms. Reserving operating room capacity for handling incoming emergency surgeries is expensive.Moreover, emergency surgeries cannot afford long waiting times. This paper deals with the problem of surgery scheduling in the presence of emergency surgeries with a focus on balancing the efficient use of operating room capacity and responsiveness to emergency surgeries. We proposed a new algorithm for surgery scheduling with a specific operating room capacity planning and analyzed it through a simulation method based on real data. This algorithm respects working hours and availability of staff and other resources in a surgical suite.

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“…Equation (13) sets the start time of activity greater than the finish time of its following activities plus the setup time of the common resource. Equation (14) forces one of any two projects that use the same common resource to become the precedence of another one. Equations (15) and (16) build a precedence relation between the last activity that uses a common resource in project and the first activity that uses the same common resource in project ′ when project starts earlier than project ′ in the schedule.…”

Section: Mathematical Modelmentioning

confidence: 99%

“…A mathematical programming model is suggested for a special case of the SSP when unscheduled surgery referrals are deferred to the next planning horizon. Moreover, besides the resources in surgery suite, the availability of the resources in the ward and ICU which are used after and before surgery are also considered [14]. Lamiri et al [15,16] proposed a new stochastic programming model for the SSP.…”

Section: Introductionmentioning

confidence: 99%

A Mathematical Model for Scheduling Elective Surgeries for Minimizing the Waiting Times in Emergency Surgeries

Yazdi

Zandieh

Haleh

2020

IJE

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The ever-increasing demands for surgeries and the limited resources force hospitals to have efficient management of resources, especially the expensive ones like operating rooms (ORs). Scheduling surgeries including sequencing them, assigning resources to them and determining their start times is a complicated task for hospital managers. Surgery referrals usually include elective surgeries that are admitted before the planning horizon of the schedule and emergency surgeries that arrive during this horizon and require fast services. In this paper, we presented a mathematical model for scheduling electives and emergencies. In our model, we considered surgeries as projects with multi-activities. We implemented the Break-in-Moments (BIMs) technique in this structure, which to our best knowledge has not been implemented in the literature before. We examined this method with real data from a medium-sized Norwegian hospital and observed that this method reduces the waiting time of emergencies to be inserted into the schedule without dedicating any OR merely to emergencies. In such a way, this method counterbalances between efficient OR usage and responsiveness for emergency surgeries.

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Scheduling of elective patients considering upstream and downstream units and emergency demand using robust optimization

Cited by 35 publications

References 30 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

Efficient scheduling of emergency surgeries by adjusting the schedule of elective surgeries

A Mathematical Model for Scheduling Elective Surgeries for Minimizing the Waiting Times in Emergency Surgeries

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