Case studies and random instances for the problem of pre-positioning emergency supplies

Below, you can find the instances introduced in the paper:

  • R. Turkeš and K. Sörensen, "Instances for the problem of pre-positioning emergency supplies," Journal of Humanitarian Logistics and Supply Chain Management, 2019.
    [DOI] [Bibtex]
    @article{turkevs2019instances,
    title={Instances for the problem of pre-positioning emergency supplies},
    author={Turke{\v{s}}, Renata and S{\"o}rensen, Kenneth},
    journal={{Journal of Humanitarian Logistics and Supply Chain Management}},
    year={2019},
    publisher={Emerald Publishing Limited},
    doi={https://doi.org/10.1108/JHLSCM-02-2018-0016}
    }

By carefully manipulating some of the instance parameters, we generated 30 case studies that were inspired by 4 instances collected from the literature, that focus on disasters of different type and scale that occurred in different parts of the world. To further diversify the problem library, we developed a tool to algorithmically generate arbitrarily many diverse random instances of any size. The folder instances.zip contains the 30 case studies and 10 random instances mentioned in the paper, but the code for the random instance generator is also made available, so that other random instances can be constructed, and/or the definition of the instances can be modified. For more information on how to construct other random instances, please refer to the READ_ME.txt file.

The instances can be used to support further research on the pre-positioning and related problems.

ZIPinstances.zip
ZIPrandom_instance_generator.zip
TXTinstance_format.txt
TXTREAD_ME.txt
Case studies and random instances for the problem of pre-positioning emergency supplies