Data used in the paper “Pre-positioning of emergency supplies: Does putting a price on human life help to save lives?”

Below, you can find the instances and complete solutions from the paper:

  • R. Turkeš, D. P. Cuervo, and K. Sörensen, "Pre-positioning of emergency supplies: does putting a price on human life help to save lives?," Annals of operations research, pp. 1-31, 2016.
    [PDF] [Bibtex]
    @article{turkevs2016pre,
    title={Pre-positioning of emergency supplies: does putting a price on human life help to save lives?},
    author={Turke{\v{s}}, Renata and Cuervo, Daniel Palhazi and S{\"o}rensen, Kenneth},
    journal={Annals of Operations Research},
    pages={1--31},
    year={2016},
    publisher={Springer},
    note={DOI 10.1007/s10479-017-2702-1}
    }

In the paper, we compare the results obtained using two different mathematical models that describe the problem of pre-positioning emergency supplies, one that minimizes the sum of logistics and penalty costs, and the other that minimizes unmet demand and response time in lexicographic order (while respecting budget limitations). The paper also includes a few examples that show how the latter model offers more flexibility and insights about the problem at hand, by allowing the user to vary the strictness of the lexicographic order or available budgets.

ZIPinstances.tar.gz
ZIPresults_comparison.tar.gz
ZIPresults_lexicographic_order.tar.gz
ZIPresults_budgets.tar.gz
Data used in the paper “Pre-positioning of emergency supplies: Does putting a price on human life help to save lives?”