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The Operating Room (OR) is one of the most expensive resources of any hospital. Surgical costs typically account for approximately 40% of the total hospital resource costs, while surgeries typically generate around 67% of hospital revenues. Therefore, it is important to control the surgery costs while maintaining a high quality of care. In this study, all the decisions related to the Operating Theatre are being hierarchically considered in strategic, tactical and operational levels. The Operating Theatre consists of operation rooms, a recovery unit, an intensive care unit (ICU), a critical care unit (CCU), and ward units. In this model there exist many uncertainties, which the robust... 

Operating rooms (ORs) are considered as the most valuable resource in hospital, which are the largest revenue generator and, at the same time, the largest cost center of hospitals. Hospital managers have been interested in improving the efficiency and effectiveness of ORs by developing modern planning and scheduling tools. This research studies the stochastic operating room (OR) scheduling problem integrated by Post-Anesthesia Care Unit (PACU), named the operating theater room (OTR) problem. Due to the inherent uncertainty in surgery duration and its consecutive PACU time, the completion time of the operation of a patient should be modeled as the sum of a number of random variables. Several... 

In today’s modern world, there is an ever-increasing need for developing new ways to provide service in a health system in order to gain the satisfaction of the patients with economically effective methods. One of the challenges faced by a hospital is the allocation of the surgeries to the available surgeans. In this study, a mathematical model is proposed to schedule the operation rooms while considering the daily availability of the doctors, the expense of the operations, overtime hours, and post-operation care. The mathematical programming model is optimized as a stochastic model by using the approach of BIM.
An essential aspect of a hospital system design is the uncertainity of the... 

Operating rooms have always been the most expensive and also the most profitable section in hospitals which include approximately one third of cost and two third of income. The management always wants to decrease the cost of hospitals. On the other hand, usually this goal stands against other goals such as patient’s satisfaction. So the manager should make a balance between these goals. In this research, we will propose an integer programming model for operating room scheduling problem without uncertainty for elective patients. In order to make the model more realistic, we want to make connection between operating room theatre and intensive care units. Also, we will consider desirable... 

The traditional point of view on the scheduling of the healthcare systems, which is in common with the scheduling of other service and manufacturing systems, has contributed to inattention to patients’ psychological status and has given rise to many negative effects not only on them, but also on hospitals. However, this perspective has not been modified yet with respect to the features of healthcare systems, in which patients, rather that machines, are the main entities of the system. In this study, to address this draw back, a new concept, psyche-based optimization, as well as a new scheduling problem, anxiety-based scheduling of operating rooms, as the advent of this concept, have been... 

Scheduling problem specially surgery room scheduling is noteworthy and well known in optimization and machine learning literature which improve resource usage means cost reduction and patient experience means satisfaction increase.Surgery Rooms are one of the most costly section of the hospital. In addition to this, Surgeon are expensive resource and all the hospitals have limited capacity. By scheduling we can improve patient’s experience and resource management. That’s why scheduling Surgery Room is important and noteworthy.In this research we consider surgery duration and patient length of stay(LOS) probabilistic. Our approach for handling this is stochastic programming in which our... 

In this study, we examine all decisions related to operating room planning and scheduling problem by considering uncertainty in surgery durations. To achieve this purpose, first, a mixed integer linear program is developed to determine the master surgical schedule. Then, two different approaches are investigated to model the weekly planning and scheduling of elective patients problem considering uncertain surgery durations. In the first approach, a unified model is proposed and an effective and efficient method, based on the recently introduced anarchic society optimization algorithm, is developed to solve the problem. In the second approach, first an advance scheduling problem is formulated... 

provide about 67% of a hospital’s profit. Hospital managers are interested in decreasing the costs as well as increasing the customers’ satisfaction level. In this Thesis, four Mixed- Integer Programming models for planning and scheduling operating rooms are proposed. In the main, the problem is presented in two phases. In The first phase, model assigns the date and the room to each surgical and in second phase the model determines the sequencing of the assigned operation cases. The effects of using three different scheduling strategies (Block and Open and modified block) for assigning operating rooms to surgeons on the planning of surgical cases is studied. Then we proposed one phase model... 

In this thesis we will focus on operating room scheduling considering open strategy and uncertainty in the duration of operations for elective patients. A mixed integer programming model will be proposed having the expected list of patients that are going to be scheduled in the specific time horizon and working hours of doctors with the purpose of maximizing the number of scheduled elective patients in the determined time horizon. We aim to assign each patient to an operating room and a start time regarding operating rooms and surgeons working hours, care units capacity constraints and sequencing constraints. We will define three possible ways for each patient after their operations, naming...