Abstract
In this paper, we present a robust model for the last relief network design problem. The last mile relief network can determine the locations of the points of distribution (PODs) and the locations of the demand nodes. Beside, there are many uncertainties after a disaster, we use the two uncertain sets to deal with the objective and chance constraints which obtain the uncertain parameters. In addition, we deduce the definite form of the relief network model under the uncertain sets. Finally, we verify the validity of the model by Wenchuan earthquake.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China (Grant No. 71801077 and Grant No. 61773150), the Top-notch talents of Heibei province (Grant No. 702800118009) the High-Level Innovative Talent Foundation of Hebei University and Natural Sciences and Engineering Research Council of Canada discovery grant (Grant No. RGPIN-2014-03594, RGPIN-2019-07115).
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Zhang, PY., Liu, YK., Yang, GQ., Zhang, GQ. (2020). A Robust Optimization Model for a Last Mile Relief Network Design Problem. In: Li, X., Xu, X. (eds) Proceedings of the Seventh International Forum on Decision Sciences. Uncertainty and Operations Research. Springer, Singapore. https://doi.org/10.1007/978-981-15-5720-0_11
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DOI: https://doi.org/10.1007/978-981-15-5720-0_11
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