Abstract
In this study, we introduce a last mile relief network design problem, which determines the locations and capacities of distribution points under the uncertain environment. Also, we consider the uncertain demand in the relief network and deal with the chance constraint under the partial probability distribution information. Then, we build a model of the last mile relief network with uncertain demand. At the same time, we deduce the exact tractable form of the relief network model. Finally, we apply the mathematical model to the actual earthquake to verify the validity of the model.
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Acknowledgements
This work is supported by the National Natural Science Foundation of China ( Grant No. 71801077 and 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 Bi-objective Model for Last Mile Relief Network Design Problem Under Uncertain Demand. 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_13
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DOI: https://doi.org/10.1007/978-981-15-5720-0_13
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