Aboolian, R., Cui, T., & Shen, Z. J. M. (2012). An efficient approach for solving reliable facility location models. INFORMS Journal on Computing,25(4), 720-729.
Ahmadi-Javid, A., & Seddighi, A. H. (2013). A location-routing problem with disruption risk. Transportation Research Part E: Logistics and Transportation Review, 53, 63-82.
Albareda-Sambola, M., Fernández, E., & Laporte, G. (2007). Heuristic and lower bound for a stochastic location-routing problem. European Journal of Operational Research, 179(3), 940-955.
Avriel, M. (1980). A geometric programming approach to the solution of location problems. Journal of Regional Science, 20(2), 239-246.
Chen, Q., Li, X., & Ouyang, Y. (2011). Joint inventory-location problem under the risk of probabilistic facility disruptions. Transportation Research Part B: Methodological, 45(7), 991-1003.
Cui, T., Ouyang, Y., & Shen, Z. J. M. (2010). Reliable facility location design under the risk of disruptions. Operations Research, 58(4-part-1), 998-1011.
Etemadnia, H., Goetz, S. J., Canning, P., & Tavallali, M. S. (2015). Optimal wholesale facilities location within the fruit and vegetables supply chain with bimodal transportation options: An LP-MIP heuristic approach. European Journal of Operational Research, 244(2), 648-661.
Haimes, Y. Y., Ladson, L. S., & Wismer, D. A. (1971). Bicriterion formulation of problems of integrated system identification and system optimization. IEEE Transactions on Systems Man and Cybernetics, (3), 296.
Hassan-Pour, H. A., Mosadegh-Khah, M., & Tavakkoli-Moghaddam, R. (2009). Solving a multi-objective multi-depot stochastic location-routing problem by a hybrid simulated annealing algorithm. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, 223(8), 1045-1054.
Herazo-Padilla, N., Montoya-Torres, J. R., Munoz-Villamizar, A., Nieto Isaza, S., & Ramirez Polo, L. (2013, December). Coupling ant colony optimization and discrete-event simulation to solve a stochastic location-routing problem. In Simulation Conference (WSC), 2013 Winter (pp. 3352-3362). IEEE.
Horner, M. W., & O'Kelly, M. E. (2001). Embedding economies of scale concepts for hub network design. Journal of Transport Geography, 9(4), 255-265.
Javid, A. A., & Azad, N. (2010). Incorporating location, routing and inventory decisions in supply chain network design. Transportation Research Part E: Logistics and Transportation Review, 46(5), 582-597.
Klibi, W., Lasalle, F., Martel, A., & Ichoua, S. (2010). The stochastic multiperiod location transportation problem. Transportation Science, 44(2), 221-237.
Mohamadi, A., Yaghoubi, S., & Derikvand, H. (2015). A credibility-based chance-constrained transfer point location model for the relief logistics design (Case Study: earthquake disaster on region 1 of Tehran city).International Journal of Supply and Operations Management, 1(4), 466-488.
Norouzi, K. K., Omidvar, B., Malek, M. B., & Ganjehi, S. (2013). Multi-Hazards risk analysis of damage in urban residential areas (Case study: earthquake and flood hazards in tehran-iran). Journal of Geography and Environmental Hazards, 2(7), 566-608.
Peng, P., Snyder, L. V., Lim, A., & Liu, Z. (2011). Reliable logistics networks design with facility disruptions. Transportation Research Part B: Methodological, 45(8), 1190-1211.
Snyder, L. V. (2003). Supply chain robustness and reliability: Models and algorithms (Doctoral dissertation, Northwestern University).
Snyder, L.V., Daskin, M.S., (2005). Reliability models for facility location: the expected failure cost case. Transp. Sci. 39 (3), 400–416
Wei-long, Y. E., & Qing, L. I. (2007, August). Solving the Stochastic Location-Routing Problem with Genetic Algorithm. In Management Science and Engineering, 2007. ICMSE 2007. International Conference on (pp. 429-434). IEEE.
Xie, W., Ouyang, Y., & Wong, S. C. (2015). Reliable Location-Routing Design Under Probabilistic Facility Disruptions. Transportation Science.
Yeager, C. D., & Gatrell, J. D. (2014). Rural food accessibility: An analysis of travel impedance and the risk of potential grocery closures. Applied Geography, 53, 1-10.
Zhang, B., Ma, Z., & Jiang, S. (2008, October). Location-routing-inventory problem with stochastic demand in logistics distribution systems. In Wireless Communications, Networking and Mobile Computing, 2008. WiCOM'08. 4th International Conference on (pp. 1-4). IEEE.
Zhang, Y., Qi, M., Lin, W. H., & Miao, L. (2015). A metaheuristic approach to the reliable location routing problem under disruptions. Transportation Research Part E: Logistics and Transportation Review, 83, 90-110.