Optimization of the emergency department in hospitals using simulation and experimental design: Case study

Aroua, Abdeljelil; Abdul-Nour, Georges

doi:10.1109/wsc.2017.8248183

Cited by 4 publications

(1 citation statement)

References 4 publications

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“…yapılmasının gerekliliği vurgulanmıştır. Öneri olarak yalın düşünce anlayışı üstünde durulmuştur[20].Nyemba ve Mbohwa (2017) çok ürünlü bir mobilya endüstrisinde simülasyon ile analizi kullanarak montaj hattında minimum maliyetle ürün teslimatını sağlayacak bir çözüm geliştirmiştir [21]. Li ve ark (2015) sipariş üzerine üretim yapan bir işletmede müşterilere doğru teslim süresi verilmesi amacına yönelik simülasyon çalışması ile deney tasarımı yağmıştır.…”

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A Simulation Study on a Production System

Özcan

Yildirak

2020

Aksaray University Journal of Science and Engineering

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In case it is more costly and time consuming to implement system investments, system changes in simulation, it enables the changes to be applied and analyzed in computer environment. It is also a common set of tools and methods to assist researchers and practitioners in reviewing and making decisions for resource allocation to new or existing systems. Modeling with simulation is a method that will give important results in other areas such as production systems and service systems. In this study, the functioning of the current situation in the size-packaging department of a production company operating in the packaging sector is modeled in the Arena 14.0 program. The simulation model 15 replications were made and run one day. It is known that the biggest problem in the packaging department is intermediate stocks. For this reason, in this section, it is aimed to reduce cycle time, increase the number of parts and increase the resource utilization rates according to the results of analyzing the situations that lead to bottlenecks and production complexity. Accordingly, various alternative scenarios have been created. The scenarios created were modeled in Arena 14.0 program and compared with each other, the best results of these scenarios were determined as the situation where the new operator and machine allocation were together. In this way, there has been a significant reduction in cycle time, machine and operator usage rates and queuing times. The number of pieces released has also increased by 80. It was not included in the evaluation because cost data was not shared. A more detailed examination can be made by including the cost data in the study.

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A Simulation Study on a Production System

Özcan

Yildirak

2020

Aksaray University Journal of Science and Engineering

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Blockchain-based Formal Modeling of E-Hospital Emergency Management System

Khan

Zafar

Alkhammash

2021

2021 International Conference of Women in Data Science at Taif University (WiDSTaif )

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Effect of different patient peak arrivals on an Emergency Department via discrete event simulation

Fava¹,

Giovannelli²,

Messedaglia³

et al. 2021

Preprint

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Emergency Departments (EDs) overcrowding is a well recognized worldwide phenomenon. The consequences range from long waiting times for visit and treatment of patients, up to life-threatening health conditions. The international community is devoting greater and greater efforts to analyze this phenomenon aiming at reducing waiting times, improving the quality of the service. Within this framework, we propose a Discrete Event Simulation (DES) model to study the patient flows through a medium-size ED located in a region of Central Italy recently hit by a severe earthquake. In particular, our aim is to simulate unusual ED conditions, corresponding to critical events (like a natural disaster) which cause a sudden spike in the number of patient arrivals. The availability of detailed data concerning the ED processes enabled to build an accurate DES model and to perform extensive scenario analyses. The model provides a valid decision support system for the ED managers also in defining specific emergency plans to be activated in case of mass casualty disasters.

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Optimization of the emergency department in hospitals using simulation and experimental design: Case study

Cited by 4 publications

References 4 publications

A Simulation Study on a Production System

A Simulation Study on a Production System

Blockchain-based Formal Modeling of E-Hospital Emergency Management System

Effect of different patient peak arrivals on an Emergency Department via discrete event simulation

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