Mass casualty management in disaster scene: A systematic review of OR&MS research in humanitarian operations
Disasters are usually managed through a four-phase cycle including mitigation,
preparedness, response and recovery. The first two phases happen before a disaster and …
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
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 …
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
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 …
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
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 …
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
Regional and geographical differences between facilities is of paramount importance in
supply chain design. However, the impact of the regions' performance on supply chain …
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)
In this study, a stochastic multi-objective mixed-integer mathematical programming is
proposed for logistic distribution and evacuation planning during an earthquake. Decisions …
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
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 …
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
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 …
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
Abstract The Relief Network Design Problem (RNDP) is particularly important in emergency
management. Any uncertain factors caused by natural disasters, the equity measurement in …
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 …
necessary standards or conditions. The inappropriate and unscientific location may have led …