A Mathematical Model for Locating the Medical and Emergency Centers considering the Failure Probability of Centers

Enhancing the amount of industrial and chemical production is one of the most important effects of increasing rural people’s migration to cities, which leads to many abnormalities in the healthcare domain. In this regard, one of the most important tasks of health sector managers is designing and imp...

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Main Authors: Alireza Mosayebi, Barat Mojaradi, Ali Bonyadi Naeini, Seyed Hamid Khodadad Hosseini
Format: Article
Language:English
Published: Hindawi Limited 2020-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2020/4167590
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spelling doaj-bde71f2bf99a4f44886c6ea3d523e3942020-11-25T03:00:23ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472020-01-01202010.1155/2020/41675904167590A Mathematical Model for Locating the Medical and Emergency Centers considering the Failure Probability of CentersAlireza Mosayebi0Barat Mojaradi1Ali Bonyadi Naeini2Seyed Hamid Khodadad Hosseini3Department of Management and Business Engineering, School of Progress Engineering, Iran University of Science and Technology, Tehran, IranDepartment of Geomatics, School of Civil Engineering, Iran University of Science and Technology, Tehran, IranDepartment of Management and Business Engineering, School of Progress Engineering, Iran University of Science and Technology, Tehran, IranDepartment of Management, Faculty of Management and Economics, Tarbiat Modares University, Tehran, IranEnhancing the amount of industrial and chemical production is one of the most important effects of increasing rural people’s migration to cities, which leads to many abnormalities in the healthcare domain. In this regard, one of the most important tasks of health sector managers is designing and implementing some programs to monitor and control the level of community health, which is one of the health organizations’ strategic planning. On the other hand, the location of service centers is one of the most important problems in the area of strategic planning by any organization because selecting an appropriate site for constructing facilities can have a significant effect on reducing costs and increasing the coverage level. However, an appropriate site to construct the facilities must also have maximum reliability in addition to reducing costs and increasing the coverage level. This problem is important because many factors, such as natural disasters, result in failure of centers and influence the confidence level of system performance. Therefore, it is necessary to consider maximizing reliability in locating centers. For this purpose, an integer mathematical model is presented in this paper to select the optimum site for constructing the medical and emergency centers by considering the failure probability of each center. The research model’s objective function minimizes the system costs, including the costs of construction, patient transfer, and failure of medical and emergency centers. Finally, a numerical example is designed and reviewed by real-world problems to ensure the performance accuracy of the proposed model.http://dx.doi.org/10.1155/2020/4167590
collection DOAJ
language English
format Article
sources DOAJ
author Alireza Mosayebi
Barat Mojaradi
Ali Bonyadi Naeini
Seyed Hamid Khodadad Hosseini
spellingShingle Alireza Mosayebi
Barat Mojaradi
Ali Bonyadi Naeini
Seyed Hamid Khodadad Hosseini
A Mathematical Model for Locating the Medical and Emergency Centers considering the Failure Probability of Centers
Mathematical Problems in Engineering
author_facet Alireza Mosayebi
Barat Mojaradi
Ali Bonyadi Naeini
Seyed Hamid Khodadad Hosseini
author_sort Alireza Mosayebi
title A Mathematical Model for Locating the Medical and Emergency Centers considering the Failure Probability of Centers
title_short A Mathematical Model for Locating the Medical and Emergency Centers considering the Failure Probability of Centers
title_full A Mathematical Model for Locating the Medical and Emergency Centers considering the Failure Probability of Centers
title_fullStr A Mathematical Model for Locating the Medical and Emergency Centers considering the Failure Probability of Centers
title_full_unstemmed A Mathematical Model for Locating the Medical and Emergency Centers considering the Failure Probability of Centers
title_sort mathematical model for locating the medical and emergency centers considering the failure probability of centers
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2020-01-01
description Enhancing the amount of industrial and chemical production is one of the most important effects of increasing rural people’s migration to cities, which leads to many abnormalities in the healthcare domain. In this regard, one of the most important tasks of health sector managers is designing and implementing some programs to monitor and control the level of community health, which is one of the health organizations’ strategic planning. On the other hand, the location of service centers is one of the most important problems in the area of strategic planning by any organization because selecting an appropriate site for constructing facilities can have a significant effect on reducing costs and increasing the coverage level. However, an appropriate site to construct the facilities must also have maximum reliability in addition to reducing costs and increasing the coverage level. This problem is important because many factors, such as natural disasters, result in failure of centers and influence the confidence level of system performance. Therefore, it is necessary to consider maximizing reliability in locating centers. For this purpose, an integer mathematical model is presented in this paper to select the optimum site for constructing the medical and emergency centers by considering the failure probability of each center. The research model’s objective function minimizes the system costs, including the costs of construction, patient transfer, and failure of medical and emergency centers. Finally, a numerical example is designed and reviewed by real-world problems to ensure the performance accuracy of the proposed model.
url http://dx.doi.org/10.1155/2020/4167590
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