Dynamic formulation for humanitarian response operations incorporating multiple organisations

Rodríguez-Espíndola, Oscar; Albores, Pavel; Brewster, Christopher

doi:10.1016/j.ijpe.2018.07.023

Cited by 49 publications

(25 citation statements)

References 44 publications

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“…Therefore, in the centralized relief distribution network during the response phase, the proposed sustainable relief distribution may be useful. Rodríguez-Espíndola et al (2018) developed a multi-modal, multi-commodity model to support resource allocation and relief distribution during a disaster response that incorporates human and material resources from multiple organizations. The objective functions were to maximize the casualty service level and to minimize total costs.…”

Section: Problem Category Descriptionmentioning

confidence: 99%

Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations

Farahani

Lotfi

Baghaian

et al. 2020

European Journal of Operational Research

144

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Section: Problem Category Descriptionmentioning

confidence: 99%

Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations

Farahani

Lotfi

Baghaian

et al. 2020

European Journal of Operational Research

144

View full text Add to dashboard Cite

“…The weight p n is systematically changed to find the Pareto frontier. The ε-constraint method was also selected to solve the problem that the weighted sum method cannot obtain an efficient set when the boundary is non-convex [69]. The ε-constraint method has two advantages: first, the objective functions are not required to be normalized or prioritized, and second, the decision-maker can modify the solution by selecting the ε parameter.…”

Section: Phase 2: Bi-objective Programming Modelmentioning

confidence: 99%

A Hybrid Approach of VIKOR and Bi-Objective Decision Model for Emergency Shelter Location–Allocation to Respond to Earthquakes

2021

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Earthquakes have catastrophic effects on the affected population, especially in undeveloped countries or regions. Minimizing the impact and consequences of earthquakes involves many decisions and disaster relief operations that should be optimized. A critical disaster management problem is to construct shelters with reasonable capacity in the right locations, allocate evacuees, and provide relief materials to them within a reasonable period. This study proposes a bi-objective hierarchical model with two stages, namely, the temporary shelter stage and the short-term shelter stage. The proposed objectives at different stages are to minimize the evacuation time, maximize the suitability based on qualitative factors, and minimize the number of sites while considering the demand, capacity, utilization, and budget constraints. The performance evaluation of the emergency shelter was carried out by fuzzy-VIKOR, and the most ideal location of the shelter was determined through multiple standards. Emergency management organizations can benefit from the collective expertise of multiple decision-makers because the proposed method uses their knowledge to automate the location and allocation process of shelters. In the case of Chengdu, Sichuan Province, China, the results of using this hybrid approach provide the government with a range of options. This method can realize the trade-off between efficiency and cost in the emergency shelter location and material distribution, and realize reliable solutions in disaster emergencies.

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“…Mathematical programming is performed to locate the warehouses and shelters, which is accomplished with a reliable facility when supply disruption occurs (Yahyaei and Bozorgi-Amiri, 2019). MIP is developed to optimize HSC decisions such as facility location and relief item supplies (Rodríguez-Espíndola et al , 2018). Network design is developed to supply relief items based on the United Nations Humanitarian Response Depot network and revealed that it is essential to validate the developed model by real-time data (Dufour et al , 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Humanitarian supply chain management: modeling the pre and post-disaster relief operations

Agarwal

Kant

Shankar

2021

IJDRBE

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Purpose This study proposed a mathematical model for decision-making in the pre- and post-disaster phases. This research aims to develop a mathematical model for three important fields in the context of humanitarian logistics; stock prepositioning, facility location and evacuation planning in the humanitarian supply chain (HSC) network design. Design/methodology/approach This study applied three optimization techniques; classical approach (CA), pattern search algorithm (PSA) and Genetic Algorithm (GA) to solve the proposed mathematical model. The proposed mathematical model attempts to minimize the total relief items supply chain cost and evacuation chain cost of the HSC. A real case study of cyclone Fani, 2019 in Orissa, India is applied to validate the proposed mathematical model and to show the performance of the model. Findings The results demonstrate that heuristic approach; PSA performs better and optimal solutions are obtained in almost all the cases as compared to the GA and CA. Research limitations/implications This study is limited to deterministic demands in the affected regions, and different scenarios of the disaster events are not considered. Social implications The finding reveals that the proposed model can help the humanitarian stakeholders in making decisions on facility location, relief distribution and evacuation planning in disaster relief operations. Originality/value The results of this study may offer managerial insights to practitioners and humanitarian logisticians who are engaged in HSC implementation.

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Dynamic formulation for humanitarian response operations incorporating multiple organisations

Cited by 49 publications

References 44 publications

Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations

Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations

A Hybrid Approach of VIKOR and Bi-Objective Decision Model for Emergency Shelter Location–Allocation to Respond to Earthquakes

Humanitarian supply chain management: modeling the pre and post-disaster relief operations

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