scholarly journals A Design and Engineering Methodology for Organization-based simulation model for operating room scheduling problems

SIMULATION ◽  
2017 ◽  
Vol 93 (5) ◽  
pp. 363-378 ◽  
Author(s):  
Zakaria Yahia ◽  
Junichi Iijima ◽  
Nermine A Harraz ◽  
Amr B Eltawil
Keyword(s):  
Simulation Model ◽  
Operating Room ◽  
Simulation Models ◽  
Operational Performance ◽  
Scheduling Problems ◽  
Operating Room Scheduling ◽  
Holistic View ◽  
Implementation Model ◽  
Stable Part ◽  
Initial Results

Most of the current simulation models focus on implementation details without grasping the essence of the system, which makes it difficult to understand the core and the stable part of an enterprise. In this paper, we develop a Design and Engineering Methodology for Organization (DEMO)-based simulation model that combines simulation and the enterprise engineering approach in order to achieve a more holistic view of the enterprise. The four-aspect DEMO models are developed for the operating room scheduling problem, which enabled us to understand the business process from different perspectives. To develop the simulation model, an expanded DEMO with implementation model (DEMO++) is applied. The AnyLogic environment is used for execution. The model evaluates the operational performance of the case mix and master surgery plans that were developed in previous studies. The initial results show the simulation potential in the performance improvement of the operating room system. Furthermore, it makes understanding and exploring the system easier.

Operating Room Management in Health Care

2015 ◽  
pp. 847-867
Author(s):  
Irem Ozkarahan ◽  
Emrah B. Edis ◽  
Pinar Mizrak Ozfirat
Keyword(s):  
Artificial Intelligence ◽  
Operating Room ◽  
Management Problem ◽  
Operating Room Management ◽  
Scheduling Problems ◽  
Operating Room Scheduling ◽  
Surgical Units ◽  
The 1960S ◽  
Room Time ◽  
Operating Room Time

Surgical units are generally the most costly and least utilized units of hospitals. In order to provide higher utilization rates of surgical units, scheduling of operating rooms should be done effectively. Inefficient or inaccurate scheduling of operating room time often results in delays of surgery or cancellations of procedures, which are costly to the patient and the hospital. Therefore, operating room scheduling and management problems have been an important area of research both for operations researchers and artificial intelligence researchers since the 1960s. In this chapter, the operations research and artificial intelligence solutions developed for operating room scheduling problems in the operational level are examined and discussed. The studies are classified according to the approaches employed. The chapter is aimed to be helpful for researchers who are willing to make contributions in this area as well as the practitioners who are looking for efficient and effective ways to handle the operating room management problem of their own.

scholarly journals Application of Operational Research Techniques in Operating Room Scheduling Problems: Literature Overview

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Şeyda Gür ◽  
Tamer Eren
Keyword(s):  
Operating Room ◽  
Performance Measures ◽  
Healthcare Costs ◽  
Operational Research ◽  
Patient Characteristics ◽  
Scheduling Problems ◽  
Operating Room Scheduling ◽  
Planning Strategy ◽  
Literature Overview

Increased healthcare costs are pushing hospitals to reduce costs and increase the quality of care. Operating rooms are the most important source of income and expense for hospitals. Therefore, the hospital management focuses on the effectiveness of schedules and plans. This study includes analyses of recent research on operating room scheduling and planning. Most studies in the literature, from 2000 to the present day, were evaluated according to patient characteristics, performance measures, solution techniques used in the research, the uncertainty of the problem, applicability of the research, and the planning strategy to be dealt within the solution. One hundred seventy studies were examined in detail, after scanning the Emerald, Science Direct, JSTOR, Springer, Taylor and Francis, and Google Scholar databases. To facilitate the identification of these studies, they are grouped according to the different criteria of concern and then, a detailed overview is presented.

Operating Room Management in Health Care

2013 ◽  
pp. 518-538 ◽  
Author(s):  
Irem Ozkarahan ◽  
Emrah B. Edis ◽  
Pinar Mizrak Ozfirat
Keyword(s):  
Artificial Intelligence ◽  
Operating Room ◽  
Management Problem ◽  
Operating Room Management ◽  
Scheduling Problems ◽  
Operating Room Scheduling ◽  
Surgical Units ◽  
The 1960S ◽  
Room Time ◽  
Operating Room Time

Surgical units are generally the most costly and least utilized units of hospitals. In order to provide higher utilization rates of surgical units, scheduling of operating rooms should be done effectively. Inefficient or inaccurate scheduling of operating room time often results in delays of surgery or cancellations of procedures, which are costly to the patient and the hospital. Therefore, operating room scheduling and management problems have been an important area of research both for operations researchers and artificial intelligence researchers since the 1960s. In this chapter, the operations research and artificial intelligence solutions developed for operating room scheduling problems in the operational level are examined and discussed. The studies are classified according to the approaches employed. The chapter is aimed to be helpful for researchers who are willing to make contributions in this area as well as the practitioners who are looking for efficient and effective ways to handle the operating room management problem of their own.

scholarly journals A Simulation Model to Improve Productivity in the Pipe Manufacturing Industry

2020 ◽  
Vol 55 (2) ◽  
Author(s):  
Rabia Almamlook ◽  
Harith M. Ali ◽  
Arz Qwa Alden ◽  
Anad Afhaima ◽  
Faieza Saad Bodowara ◽  
...  
Keyword(s):  
Simulation Model ◽  
Manufacturing Industry ◽  
Job Shop ◽  
Video Camera ◽  
Operational Performance ◽  
Scheduling Problems ◽  
Manufacturing Companies ◽  
Effective Strategies ◽  
Increase Productivity ◽  
Pipe Manufacturing

Improving productivity in the pipe manufacturing industry is a major challenge that manufacturing companies in contemporary competitive markets face. The purpose of this study was to improve productivity in the pipe manufacturing industry by applying manufacturing principles that employ simulation modeling. An approach to improve productivity which focuses on the process of workstations and workforces was proposed . The proposed approach’s target was to boost the productivity of providing clients’ prerequisites and leaving a few products in the store for other clients. A simulation model based on the data collected from the steel pipe company, Bansal Ispat Tubes Private Limited’s in India, was used to improve its operational performance. The research methodology included a pro-simulation model, suitable distribution and investigating data. The simulation model was created by simulating each work station and assessing all relevant processes depending on the collected data. The real job-shop data was collected from the machinery production line and supervision workers with observations made during the manufacturing process. The techniques used include videotaping of the operation, interviewing liber by a video camera. The best continuous distributions were choose to achieve a suitable statistical model. The outcomes maybe contribute to improving the productivity of the manufacturing industry. Moreover, the results might help solve scheduling problems in modeling and simulating pipe manufacturing, revealing effective strategies to increase productivity in pipe manufacturing. Thus, the findings could encourage healthy competition between businesses and industries.

scholarly journals Logic-Based Benders Decomposition and Binary Decision Diagram Based Approaches for Stochastic Distributed Operating Room Scheduling

2021 ◽  
Author(s):  
Cheng Guo ◽  
Merve Bodur ◽  
Dionne M. Aleman ◽  
David R. Urbach
Keyword(s):  
Operating Room ◽  
Benders Decomposition ◽  
Binary Decision Diagram ◽  
Scheduling Problem ◽  
Scheduling Problems ◽  
Operating Room Scheduling ◽  
Hospital Data ◽  
Data Set ◽  
Planning And Scheduling ◽  
Binary Decision

The distributed operating room (OR) scheduling problem aims to find an assignment of surgeries to ORs across collaborating hospitals that share their waiting lists and ORs. We propose a stochastic extension of this problem where surgery durations are considered to be uncertain. In order to obtain solutions for the challenging stochastic model, we use sample average approximation and develop two enhanced decomposition frameworks that use logic-based Benders (LBBD) optimality cuts and binary decision diagram based Benders cuts. Specifically, to the best of our knowledge, deriving LBBD optimality cuts in a stochastic programming context is new to the literature. Our computational experiments on a hospital data set illustrate that the stochastic formulation generates robust schedules and that our algorithms improve the computational efficiency. Summary of Contribution: We propose a new model for an important problem in healthcare scheduling, namely, stochastic distributed operating room scheduling, which is inspired by a current practice in Toronto, Ontario, Canada. We develop two decomposition methods that are computationally faster than solving the model directly via a state-of-the-art solver. We present both some theoretical results for our algorithms and numerical results for the evaluation of the model and algorithms. Compared with its deterministic counterpart in the literature, our model shows improvement in relevant evaluation metrics for the underlying scheduling problem. In addition, our algorithms exploit the structure of the model and improve its solvability. Those algorithms also have the potential to be used to tackle other planning and scheduling problems with a similar structure.

A new model for operating room scheduling with elective patient strategy

2021 ◽  
pp. 1-24
Author(s):  
Vahid Kayvanfar ◽  
Mohammad R. Akbari Jokar ◽  
Majid Rafiee ◽  
Shaya Sheikh ◽  
Reza Iranzad
Keyword(s):  
Operating Room ◽  
Operating Room Scheduling ◽  
Elective Patient ◽  
New Model

scholarly journals Guidelines to Calibrate a Multi-Residential Building Simulation Model Addressing Overheating Evaluation and Residents’ Influence

Buildings ◽  
2021 ◽  
Vol 11 (6) ◽  
pp. 242
Author(s):  
Christoph Schünemann ◽  
David Schiela ◽  
Regine Ortlepp
Keyword(s):  
Simulation Model ◽  
Time Window ◽  
Residential Building ◽  
Simulation Models ◽  
Building Simulation ◽  
Night Time ◽  
Building Performance Simulation ◽  
Starting Point ◽  
3D Simulation Model ◽  
Building Physics

Can building performance simulation reproduce measured summertime indoor conditions of a multi-residential building in good conformity? This question is answered by calibrating simulated to monitored room temperatures of several rooms of a multi-residential building for an entire summer in two process steps. First, we did a calibration for several days without the residents being present to validate the building physics of the 3D simulation model. Second, the simulations were calibrated for the entire summer period, including the residents’ impact on evolving room temperature and overheating. As a result, a high degree of conformity between simulation and measurement could be achieved for all monitored rooms. The credibility of our results was secured by a detailed sensitivity analysis under varying meteorological conditions, shading situations, and window ventilation or room use in the simulation model. For top floor dwellings, a high overheating intensity was evoked by a combination of insufficient use of night-time window ventilation and non-heat-adapted residential behavior in combination with high solar gains and low heat storage capacities. Finally, the overall findings were merged into a process guideline to describe how a step-by-step calibration of residential building simulation models can be done. This guideline is intended to be a starting point for future discussions about the validity of the simplified boundary conditions which are often used in present-day standard overheating assessment.

scholarly journals Use of simulation model for measurement of MilkRun system performance

2019 ◽  
Vol 9 (1) ◽  
pp. 600-605 ◽  
Author(s):  
Gabriel Fedorko ◽  
Martin Vasil ◽  
Michaela Bartosova
Keyword(s):  
Simulation Model ◽  
Production Systems ◽  
Operational Performance ◽  
Transport Systems ◽  
Indirect Methods ◽  
Operational Characteristics ◽  
Wide Range ◽  
Effective Operation ◽  
And Performance ◽  
Plant Simulation

AbstractIntra-plant transport systems within their operation directly impact on the performance of production systems. For their effective operation, it is, therefore, necessary to realize evaluation of operational performance and effectivity. For the realization of this type of evaluation, in addition to a wide range of sensors that can be difficult for installation and operation, we can also use indirect methods that are equally able to provide reliable operational characteristics. Indirect analytical methods are presented above all by the approach which is based on the use of simulation methods. The method of computer simulation provides a wide range of options for the evaluation of efficiency and performance. The paper describes the use of a simulation model created in the program Tecnomatix Plant Simulation for analyzing the supply of production workplaces within the MilkRun system.

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