@article { author = {Torabi, Seyed Ali and Doodman, Mansour and Bozorgi Amiri, Ali}, title = {Integrating Pre- and Post-Disaster Operations Considering the Restoration of Disrupted Routes and Warehouses}, journal = {Advances in Industrial Engineering}, volume = {52}, number = {2}, pages = {179-192}, year = {2018}, publisher = {University of Tehran}, issn = {2783-1744}, eissn = {2783-1744}, doi = {10.22059/jieng.2018.240913.1432}, abstract = {The increasing trend in happening natural disasters mandates developing appropriate contingency plans to deal with them. In this paper, a goal programming based model is developed for an integrated pre- and post-disaster operations management, while considering the restoration of disrupted routed and warehouses. The model accounts for epistemic uncertainty in input data through a hybrid two-stage scenario-based possibilistic-stochastic programming model. In addition, to validate the proposed model and its practicality, an illustrative example is presented, and its numerical results are assessed.}, keywords = {Goal Programming,Humanitarian Logistics,Multi-Objective Programming,Relief Chain,Two-Stage Possibilistic-Stochastic Programming}, url = {https://aie.ut.ac.ir/article_71064.html}, eprint = {https://aie.ut.ac.ir/article_71064_dc938f7e7e7e8216be091f4aa0fc535c.pdf} }