Designing a humanitarian relief network considering governmental and non-governmental operations under uncertainty

A scenario-based collaborative problem for a relief supply chain during post-disaster under uncertain parameters: a real case study in Dorud

“…Besides, information based on the search region can be replaced among multiple solutions, bringing about a rapid motion to optimum goals. Therefore, given its benefits and its favorable performance, verified in some studies (Abazari et al , 2021; Masoumi et al , 2021), it can be stated that GOA can be efficient in solving real-world cases with unknown search spaces (Malekkhouyan et al , 2021).…”

“…At this time, the longer it takes to prepare relief efforts to respond, the greater the human, financial and other damages. This would be doubly important, especially in less developed countries, where there would not be sufficient funding to pass such conditions owing to government financial problems, poor infrastructure, corruption and other factors or in developing countries to vanquish the situation as quickly as possible (Abazari et al , 2021). To deal with it, by creating mobility in the people to help and participate in serving the affected community, encouraging the private sector to be active and widespread in the field of humanitarian activities, providing relief items, organizing health camps, being involved in rescue operations and arranging temporary shelters, nongovernmental organizations (NGOs) are capable of playing an outstanding role that leads to supporting governmental organizations (GOs) for the swift realization of community plans (Li et al , 2018; Nikkhoo et al , 2018).…”

“…At this time, the longer it takes to prepare relief efforts to respond, the greater the human, financial and other damages. This would be doubly important, especially in less developed countries, where there would not be sufficient funding to pass such conditions owing to government financial problems, poor infrastructure, corruption and other factors or in developing countries to vanquish the situation as quickly as possible (Abazari et al, 2021). To deal with it, by creating mobility in the people to help and participate in serving the affected community, encouraging the private sector to be active and widespread in the field of humanitarian activities, providing…”

Integrated and coordinated relief logistics and road recovery planning problem

“…They tested their models on data from the Great Wenchuan Earthquake that occurred in 2008 in China. More recently, Abazari et al (2021) addressed the design of a relief distribution supply chain by considering pre-positioning of relief items as well as their redistribution. They developed a grasshopper algorithm to solve larger instances of the two-staged stochastic optimization model.…”

A scenario-based sustainable dual-channel closed-loop supply chain design with pickup and delivery considering social conditions in a natural disaster under uncertainty: a real-life case study

“…Significant events including artificial (e.g., strikes) and natural disasters (e.g., tsunamis, fires, earthquakes) result in disruption risks (Baghalian et al, 2013 ). Earthquakes in China, Tsunami in Indian Ocean, flood in Thailand, strike in New York, and the bombing of Boston Marathon are some disruption examples affecting supply chains’ performance(Abazari et al, 2021 ; Sabouhi et al, 2020 ). These cases verify the importance of considering disruption risks when making the right decisions and taking initial steps to reduce the risks of disruption.…”