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

RZ Farahani, MM Lotfi, A Baghaian, R Ruiz… - European Journal of …, 2020 - Elsevier
Disasters are usually managed through a four-phase cycle including mitigation,
preparedness, response and recovery. The first two phases happen before a disaster and …

A robust possibilistic programming framework for designing an organ transplant supply chain under uncertainty

A Goli, A Ala, S Mirjalili - Annals of Operations Research, 2023 - Springer
Organ transplantation is a crucial task in the healthcare supply chain, which organizes the
supply and demand for various vital organs. In this regard, dealing with uncertainty is one of …

Resilient supply chain design under operational and disruption risks considering quantity discount: A case study of pharmaceutical supply chain

F Sabouhi, MS Pishvaee, MS Jabalameli - Computers & industrial …, 2018 - Elsevier
Nowadays, one of the main objectives of supply chain design is to lessen the supply chain-
threatening risks in order to reduce costs, preserve market share, and satisfy stakeholders …

A robust possibilistic programming approach toward animal fat-based biodiesel supply chain network design under uncertain environment

MS Habib, O Asghar, A Hussain, M Imran… - Journal of Cleaner …, 2021 - Elsevier
The fast depletion of fossil fuels and adverse environmental impact from combustion have
triggered an urgent need for new, cleaner and sustainable energy resources. In the last few …

An optimization approach for sustainable and resilient supply chain design with regional considerations

F Sabouhi, MS Jabalameli, A Jabbarzadeh - Computers & Industrial …, 2021 - Elsevier
Regional and geographical differences between facilities is of paramount importance in
supply chain design. However, the impact of the regions' performance on supply chain …

Stochastic optimization model for distribution and evacuation planning (A case study of Tehran earthquake)

P Ghasemi, K Khalili-Damghani, A Hafezalkotob… - Socio-Economic …, 2020 - Elsevier
In this study, a stochastic multi-objective mixed-integer mathematical programming is
proposed for logistic distribution and evacuation planning during an earthquake. Decisions …

Integrated temporary facility location and casualty allocation planning for post-disaster humanitarian medical service

Y Liu, N Cui, J Zhang - Transportation research part E: logistics and …, 2019 - Elsevier
The planning of temporary medical service facility location and the distribution of casualties
to these facilities require to consider casualty triage, health deterioration conditions, and …

A multi-cut L-shaped method for resilient and responsive supply chain network design

F Sabouhi, MS Jabalameli, A Jabbarzadeh… - … Journal of Production …, 2020 - Taylor & Francis
We present a stochastic optimisation model that can be used to design a resilient supply
chain operating under random disruptions. The model aims to determine sourcing and …

[HTML][HTML] Relief network design problem (RNDP): A sco** review, challenges, and opportunities

J Xu, DJ Nair, M Haghani - International Journal of Disaster Risk Reduction, 2024 - Elsevier
Abstract The Relief Network Design Problem (RNDP) is particularly important in emergency
management. Any uncertain factors caused by natural disasters, the equity measurement in …

Efficient crisis management by selection and analysis of relief centers in disaster integrating GIS and multicriteria decision methods: a case study of Tehran

H Ahmadi Choukolaei… - Mathematical …, 2021 - Wiley Online Library
In Iran, location is usually done by temporary relief organizations without considering the
necessary standards or conditions. The inappropriate and unscientific location may have led …