First Cluster Second Route Approach with Collaboration Unmanned Aerial Vehicle in Post-Disaster Humanitarian Logistic

Zeynep Yüksel; Dursun Emre Epcim; Suleyman Mete

Makale detayları

First Cluster Second Route Approach with Collaboration Unmanned Aerial Vehicle in Post-Disaster Humanitarian Logistic

Yazarlar:

Zeynep Yüksel | Dursun Emre Epcim | Suleyman Mete

Yayıncı:

Istanbul University

Ana Başlıklar:

Ulaşım | Lojistik ve Tedarik Zincirleri (Diğer)

Dergi:

Journal of Transportation and Logistics Vol.8 Issue 2, pp.97-111

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001311935

pISSN:

2459-1718

Anahtar kelimeler:

Özet:

 It is vital that post-disaster interventions are fast and effective. At this point, the integration of unmanned aerial vehicles in post-disaster logistics, mapping operations, assessment, search and rescue operations has the potential for process optimization. Unmanned aerial vehicles make a significant contribution to these operations by reaching hard-to-reach areas, detecting damage, identifying people trapped under submerged debris, and ensuring the rapid delivery of relief aid, so it is critical to integrate unmanned aerial vehicles in these areas. In this study, a multi-depot vehicle routing model is proposed for application in disaster logistics. Unlike the previous studies in this field, this study contributes to the literature by incorporating unmanned aerial vehicles into logistics vehicles and implementing a first cluster second route approach. This proposed model, which minimizes the time required for humanitarian relief after a disaster, is solved by mixing integer programing with the GAMSCPLEX solver.

 It is vital that post-disaster interventions are fast and effective. At this point, the integration of unmanned aerial vehicles in post-disaster logistics, mapping operations, assessment, search and rescue operations has the potential for process optimization. Unmanned aerial vehicles make a significant contribution to these operations by reaching hard-to-reach areas, detecting damage, identifying people trapped under submerged debris, and ensuring the rapid delivery of relief aid, so it is critical to integrate unmanned aerial vehicles in these areas. In this study, a multi-depot vehicle routing model is proposed for application in disaster logistics. Unlike the previous studies in this field, this study contributes to the literature by incorporating unmanned aerial vehicles into logistics vehicles and implementing a first cluster second route approach. This proposed model, which minimizes the time required for humanitarian relief after a disaster, is solved by mixing integer programing with the GAMSCPLEX solver.

 It is vital that post-disaster interventions are fast and effective. At this point, the integration of unmanned aerial vehicles in post-disaster logistics, mapping operations, assessment, search and rescue operations has the potential for process optimization. Unmanned aerial vehicles make a significant contribution to these operations by reaching hard-to-reach areas, detecting damage, identifying people trapped under submerged debris, and ensuring the rapid delivery of relief aid, so it is critical to integrate unmanned aerial vehicles in these areas. In this study, a multi-depot vehicle routing model is proposed for application in disaster logistics. Unlike the previous studies in this field, this study contributes to the literature by incorporating unmanned aerial vehicles into logistics vehicles and implementing a first cluster second route approach. This proposed model, which minimizes the time required for humanitarian relief after a disaster, is solved by mixing integer programing with the GAMSCPLEX solver.

 It is vital that post-disaster interventions are fast and effective. At this point, the integration of unmanned aerial vehicles in post-disaster logistics, mapping operations, assessment, search and rescue operations has the potential for process optimization. Unmanned aerial vehicles make a significant contribution to these operations by reaching hard-to-reach areas, detecting damage, identifying people trapped under submerged debris, and ensuring the rapid delivery of relief aid, so it is critical to integrate unmanned aerial vehicles in these areas. In this study, a multi-depot vehicle routing model is proposed for application in disaster logistics. Unlike the previous studies in this field, this study contributes to the literature by incorporating unmanned aerial vehicles into logistics vehicles and implementing a first cluster second route approach. This proposed model, which minimizes the time required for humanitarian relief after a disaster, is solved by mixing integer programing with the GAMSCPLEX solver.

Makale detayları

First Cluster Second Route Approach with Collaboration Unmanned Aerial Vehicle in Post-Disaster Humanitarian Logistic

Yazarlar:

Zeynep Yüksel | Dursun Emre Epcim | Suleyman Mete

Yayıncı:

Istanbul University

Ana Başlıklar:

Ulaşım | Lojistik ve Tedarik Zincirleri (Diğer)

Dergi:

Journal of Transportation and Logistics Vol.8 Issue 2, pp.97-111

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001311935

pISSN:

2459-1718

Modeling

Cluster

Disaster Logistics

Routing

Unmanned Aerial Vehicle

Sayı

Makale detayları

First Cluster Second Route Approach with Collaboration Unmanned Aerial Vehicle in Post-Disaster Humanitarian Logistic

Yazarlar: Zeynep Yüksel | Dursun Emre Epcim | Suleyman Mete

Yayıncı: Istanbul University

Ana Başlıklar: Ulaşım | Lojistik ve Tedarik Zincirleri (Diğer)

Dergi: Journal of Transportation and Logistics Vol.8 Issue 2, pp.97-111

Belge Tipi: Makale

Yayın Tarihi: 1/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001311935

pISSN: 2459-1718

Modeling

Cluster

Disaster Logistics

Routing

Unmanned Aerial Vehicle

Sayı

Yazarlar:

Zeynep Yüksel | Dursun Emre Epcim | Suleyman Mete

Yayıncı:

Istanbul University

Ana Başlıklar:

Ulaşım | Lojistik ve Tedarik Zincirleri (Diğer)

Dergi:

Journal of Transportation and Logistics Vol.8 Issue 2, pp.97-111

Belge Tipi:

Makale

Yayın Tarihi:

1/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001311935

pISSN:

2459-1718