Post-Earthquake Casualty Transport Optimization

Salih Özçelik; Halim Kazan

Makale detayları

Post-Earthquake Casualty Transport Optimization

Yazarlar:

Salih Özçelik | Halim Kazan

Yayıncı:

Istanbul University

Ana Başlıklar:

Yöneylem

Dergi:

Journal of Transportation and Logistics Vol.7 Issue 2, pp.589-607

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001282797

pISSN:

2459-1718

Anahtar kelimeler:

Özet:

 Disasters are one of the deadliest problems faced by humans in their struggle to survive in nature throughout history. This study was carried out for the optimization of the casualty transport process after the earthquake, which is one of the most powerful disaster types today. This study, in which what needs to be done in the post-earthquake response phase is planned, it is aimed to design a logistics network that will ensure that the patients who survive the earthquake with severe injuries are treated as soon as possible. For the problems resolution in this way, a two-stage solution model is recommended. The proposed mathematical model is first solved using a mixed integer programming approach. The outputs of the mathematical model were simulated using the new patient selection procedure in the second stage. Thanks to the proposed model, it has been determined which ambulances to transport the patients to which hospital and preferences that will minimize the total time have been formed. Finally, the developed new mathematical model and patient selection method were tested with earthquake forecast data for the Tuzla District of Istanbul Province. After conducting a baseline study, the models sensitivity to changes in parameters and constraints under various scenarios was assessed scenario 2, scenario 3. Sensitivity analysis results showed improvements in total transport times with additional hospital setup and ambulance allocation.

 Disasters are one of the deadliest problems faced by humans in their struggle to survive in nature throughout history. This study was carried out for the optimization of the casualty transport process after the earthquake, which is one of the most powerful disaster types today. This study, in which what needs to be done in the post-earthquake response phase is planned, it is aimed to design a logistics network that will ensure that the patients who survive the earthquake with severe injuries are treated as soon as possible. For the problems resolution in this way, a two-stage solution model is recommended. The proposed mathematical model is first solved using a mixed integer programming approach. The outputs of the mathematical model were simulated using the new patient selection procedure in the second stage. Thanks to the proposed model, it has been determined which ambulances to transport the patients to which hospital and preferences that will minimize the total time have been formed. Finally, the developed new mathematical model and patient selection method were tested with earthquake forecast data for the Tuzla District of Istanbul Province. After conducting a baseline study, the models sensitivity to changes in parameters and constraints under various scenarios was assessed scenario 2, scenario 3. Sensitivity analysis results showed improvements in total transport times with additional hospital setup and ambulance allocation.

 Disasters are one of the deadliest problems faced by humans in their struggle to survive in nature throughout history. This study was carried out for the optimization of the casualty transport process after the earthquake, which is one of the most powerful disaster types today. This study, in which what needs to be done in the post-earthquake response phase is planned, it is aimed to design a logistics network that will ensure that the patients who survive the earthquake with severe injuries are treated as soon as possible. For the problems resolution in this way, a two-stage solution model is recommended. The proposed mathematical model is first solved using a mixed integer programming approach. The outputs of the mathematical model were simulated using the new patient selection procedure in the second stage. Thanks to the proposed model, it has been determined which ambulances to transport the patients to which hospital and preferences that will minimize the total time have been formed. Finally, the developed new mathematical model and patient selection method were tested with earthquake forecast data for the Tuzla District of Istanbul Province. After conducting a baseline study, the models sensitivity to changes in parameters and constraints under various scenarios was assessed scenario 2, scenario 3. Sensitivity analysis results showed improvements in total transport times with additional hospital setup and ambulance allocation.

 Disasters are one of the deadliest problems faced by humans in their struggle to survive in nature throughout history. This study was carried out for the optimization of the casualty transport process after the earthquake, which is one of the most powerful disaster types today. This study, in which what needs to be done in the post-earthquake response phase is planned, it is aimed to design a logistics network that will ensure that the patients who survive the earthquake with severe injuries are treated as soon as possible. For the problems resolution in this way, a two-stage solution model is recommended. The proposed mathematical model is first solved using a mixed integer programming approach. The outputs of the mathematical model were simulated using the new patient selection procedure in the second stage. Thanks to the proposed model, it has been determined which ambulances to transport the patients to which hospital and preferences that will minimize the total time have been formed. Finally, the developed new mathematical model and patient selection method were tested with earthquake forecast data for the Tuzla District of Istanbul Province. After conducting a baseline study, the models sensitivity to changes in parameters and constraints under various scenarios was assessed scenario 2, scenario 3. Sensitivity analysis results showed improvements in total transport times with additional hospital setup and ambulance allocation.

Makale detayları

Post-Earthquake Casualty Transport Optimization

Yazarlar:

Salih Özçelik | Halim Kazan

Yayıncı:

Istanbul University

Ana Başlıklar:

Yöneylem

Dergi:

Journal of Transportation and Logistics Vol.7 Issue 2, pp.589-607

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001282797

pISSN:

2459-1718

Casualty Transport

Disaster Logistics

Disaster Management

Earthquake Response

Logistics Network Design

Network Optimization

Mixed Integer Programming

Sayı

Makale detayları

Yazarlar: Salih Özçelik | Halim Kazan

Yayıncı: Istanbul University

Ana Başlıklar: Yöneylem

Dergi: Journal of Transportation and Logistics Vol.7 Issue 2, pp.589-607

Belge Tipi: Makale

Yayın Tarihi: 1/2023

Belge Dili: İngilizce

Document ID (Org No.): 2001282797

pISSN: 2459-1718

Sayı

Yazarlar:

Salih Özçelik | Halim Kazan

Yayıncı:

Istanbul University

Ana Başlıklar:

Yöneylem

Dergi:

Journal of Transportation and Logistics Vol.7 Issue 2, pp.589-607

Belge Tipi:

Makale

Yayın Tarihi:

1/2023

Belge Dili:

İngilizce

Document ID (Org No.):

2001282797

pISSN:

2459-1718