Scientia Iranica

Scientia Iranica

A novel mathematical model to minimize the total cost of the hospital and COVID-19 outbreak concerning waiting time of patients using Jackson queueing networks, a case study

Articles in Press

Document Type : Research Article

Authors
Shirin Ghasemi 1
Fateme Taghipour 1
Amir Aghsami 2
Fariborz Jolai 1
Soroush Jolai 3
1 School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran
2 - School of Industrial Engineering, College of Engineering, University of Tehran, Tehran, Iran - School of Industrial Engineering, K. N. Toosi University of Technology (KNTU), Tehran, Iran
3 Department of management, Alborz Campus, University of Tehran, Tehran, Iran
10.24200/sci.2023.60803.6999
Abstract
One of the patients' basic needs when referring to the hospital is to access doctors as soon as possible at a low cost. In this regard, many hospital managers aim to improve healthcare quality. They strive to plan and perform better patient flow in different parts of hospitals. With the widespread of Covid-19, the importance of this matter has become more apparent. Queueing systems are one of the methods that help recognize delays and help to identify bottlenecks. This paper has extended a queue theory model to measure the number of servers in each part of the hospital. The model aims to reduce the hospital's expected total cost, including the waiting time cost of the patients in queues, idle server cost, operating, and the marginal cost of the servers, in a covid-19 pandemic. The proposed model has been solved with Grasshopper Optimization Algorithm (GOA) for large-scale data. Then sensitivity analysis is presented to understand the model better and identify effective parameters.
Keywords
Jackson queueing networks
covid-19
hospital
waiting time
mathematical model
healthcare
Scientia Iranica

Articles in Press, Accepted Manuscript
Available Online from 13 February 2023

  • Receive Date 17 July 2022
  • Revise Date 31 October 2022
  • Accept Date 13 February 2023