Risk-averse optimization of disaster relief facility location and vehicle routing under stochastic demand

Ahmadi-Javid, 2013, A location-routing problem with disruption risk, Transport. Res. E-Logist. Transp. Rev., 53, 63, 10.1016/j.tre.2013.02.002 Ahmadi, 2015, A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: A case study on San Francisco district, Transport. Res. E-Logist. Transp. Rev., 75, 145, 10.1016/j.tre.2015.01.008 Akgün, 2015, Risk based facility location by using fault tree analysis in disaster management, Omega, 52, 168, 10.1016/j.omega.2014.04.003 An, 2015, Reliable emergency service facility location under facility disruption, en-route congestion and in-facility queuing, Transport. Res. E-Logist. Transp. Rev., 82, 199, 10.1016/j.tre.2015.07.006 Ardjmand, 2015, Applying genetic algorithm to a new location and routing model of hazardous materials, Int. J. Prod. Res., 53, 916, 10.1080/00207543.2014.942010 Artzner, 1997, Thinking coherently, Risk, 10, 68 Artzner, 1999, Coherent measures of risk, Math. Financ., 9, 203, 10.1111/1467-9965.00068 Asadi, 2018, A bi-objective stochastic location-inventory-routing model for microalgae-based biofuel supply chain, Appl. Energy, 228, 2235, 10.1016/j.apenergy.2018.07.067 Bai, 2018, Prepositioning emergency supplies under uncertainty: a parametric optimization method, Eng. Optimiz., 50, 1114, 10.1080/0305215X.2017.1328508 Benson, 1996, Disaster triage: START, then SAVE—A new method of dynamic triage for victims of a catastrophic earthquake, Prehosp. Disa. Med., 11, 117, 10.1017/S1049023X0004276X Bozorgi-Amiri, 2012, A modified particle swarm optimization for disaster relief logistics under uncertain environment, Int. J. Adv. Manuf. Tech., 60, 357, 10.1007/s00170-011-3596-8 Bozorgi-Amiri, 2016, A dynamic multi-objective location–routing model for relief logistic planning under uncertainty on demand, travel time, and cost parameters, Int. J. Adv. Manuf. Tech., 85, 1633, 10.1007/s00170-015-7923-3 Caunhye, 2016, A location-routing model for prepositioning and distributing emergency supplies, Transp. Res. E-Logist. Transp. Rev., 90, 161, 10.1016/j.tre.2015.10.011 Chang, 2017, Multiobjective location routing problem considering uncertain data after disasters, Discrete Dyn. Nat. Soc., 2017, 1 Chen, 2006, The α-reliable mean-excess regret model for stochastic facility location modeling, Nav. Res. Log., 53, 617, 10.1002/nav.20180 Deb, 2002, A fast and elitist multi-objective genetic algorithm: NSGA-II, IEEE T. Evolut. Compute., 6, 182, 10.1109/4235.996017 Drexl, 2015, A survey of variants and extensions of the location-routing problem, Eur. J. Oper. Res., 241, 283, 10.1016/j.ejor.2014.08.030 Elçi, 2018, A chance-constrained two-stage stochastic programming model for humanitarian relief network design, Transp. Res. B-Methodol., 108, 55, 10.1016/j.trb.2017.12.002 Faghih-Roohi, 2016, Dynamic conditional value-at-risk model for routing and scheduling of hazardous material transportation networks, Ann. Oper. Res., 247, 715, 10.1007/s10479-015-1909-2 Fazayeli, 2018, Location-routing problem in multimodal transportation network with time windows and fuzzy demands: Presenting a two-part genetic algorithm, Comput. Ind. Eng., 119, 233, 10.1016/j.cie.2018.03.041 Goldberg, 1985, Alleles, loci, and the traveling salesman problem, vol. 154, 154 Hiassat, 2017, A genetic algorithm approach for location-inventory-routing problem with perishable products, J. Manuf. Syst., 42, 93, 10.1016/j.jmsy.2016.10.004 Hu, 2019, Supplier selection and pre-positioning strategy in humanitarian relief, Omega, 83, 287, 10.1016/j.omega.2018.10.011 Hu, 2016, Stochastic optimization for investment in facilities in emergency prevention, Transport. Res. E-Logist. Transp. Rev., 89, 14, 10.1016/j.tre.2016.02.006 Huang, 2012, Models for relief routing: Equity, efficiency and efficacy, Transport. Res. E- Logist. Transp. Rev., 48, 2, 10.1016/j.tre.2011.05.004 Janis, 1977 Larsen, 2002, Algorithms for optimization of value-at-risk, 19 Lee, 2018, A review of applications of genetic algorithms in operations management, Eng. Appl. Artif. Intel., 76, 1, 10.1016/j.engappai.2018.08.011 Liberatore, 2013, Uncertainty in humanitarian logistics for disaster management. A review, 45 Lu, 2018, A mean-risk mixed integer nonlinear program for transportation network protection, Eur. J. Oper. Res., 265, 277, 10.1016/j.ejor.2017.07.025 Mahdavi, 2010, Designing a mathematical model for dynamic cellular manufacturing systems considering production planning and worker assignment, Comput. Math. Appl., 60, 1014, 10.1016/j.camwa.2010.03.044 Mahmoudsoltani, 2018, Using Pareto-based multi-objective evolution algorithms in decision structure to transfer the hazardous materials to safety storage centre, J. Clean. Prod., 184, 893, 10.1016/j.jclepro.2018.02.235 Meng, 2005, Multiobjective vehicle routing and scheduling problem with time window constraints in hazardous material transportation, J. Transp. Eng., 131, 699, 10.1061/(ASCE)0733-947X(2005)131:9(699) Moshref-Javadi, 2016, The latency location-routing problem, Eur. J. Oper. Res., 255, 604, 10.1016/j.ejor.2016.05.048 Nash, 1950, The bargaining problem, Econometrica, 155, 10.2307/1907266 Nash, 1953, Two-person cooperative games, Econometrica, 21, 128, 10.2307/1906951 Noyan, 2012, Risk-averse two-stage stochastic programming with an application to disaster management, Comput. Oper. Res., 39, 541, 10.1016/j.cor.2011.03.017 Ogryczak, 2002, Dual stochastic dominance and related mean-risk models, SIAM J. Optimiz., 13, 60, 10.1137/S1052623400375075 Özdamar, 2012, A hierarchical clustering and routing procedure for large scale disaster relief logistics planning, Transp. Res. E-Logist. Transp. Rev., 48, 591, 10.1016/j.tre.2011.11.003 Prodhon, 2014, A survey of recent research on location-routing problems, Eur. J. Oper. Res., 238, 1, 10.1016/j.ejor.2014.01.005 Rabbani, 2018, Using metaheuristic algorithms to solve a multi-objective industrial hazardous waste location-routing problem considering incompatible waste types, J. Clean. Prod., 170, 227, 10.1016/j.jclepro.2017.09.029 Rockafellar, 2000, Optimization of conditional value-at-risk, J. Risk, 2, 21, 10.21314/JOR.2000.038 Rockafellar, 2002, Conditional value-at-risk for general loss distribution, J. Bank. Financ., 26, 1443, 10.1016/S0378-4266(02)00271-6 Salhi, 1989, The effect of ignoring routes when locating depots, Eur. J. Oper. Res., 39, 150, 10.1016/0377-2217(89)90188-4 Shen, 2019, Optimization of Location-Routing Problem in Emergency Logistics Considering Carbon Emissions, Int. J. Env. Res. Pub. He., 16, 2982, 10.3390/ijerph16162982 Toumazis, 2013, Routing hazardous materials on time-dependent networks using conditional value-at-risk, Transp. Res. C: Emerg. Tech., 37, 73, 10.1016/j.trc.2013.09.006 Toumazis, 2013, Value-at-risk and conditional value-at-risk minimization for hazardous materials routing, 127 Tuzun, 1999, A two-phase tabu search approach to the location routing problem, Eur. J. Oper. Res., 116, 87, 10.1016/S0377-2217(98)00107-6 Vahdani, 2018, Multi-objective, multi-period location-routing model to distribute relief after earthquake by considering emergency roadway repair, Neural Comput. Appl., 30, 835, 10.1007/s00521-016-2696-7 Vitoriano, 2011, A multi-criteria optimization model for humanitarian aid distribution, J. Global Optim., 51, 189, 10.1007/s10898-010-9603-z Wang, 2014, Multi-objective open location-routing model with split delivery for optimized relief distribution in post-earthquake, Transp. Res. E-Logist. Transp. Rev., 69, 160, 10.1016/j.tre.2014.06.006 Yin, 2008, Robust optimal traffic signal timing, Transp. Res. B-Methodol., 42, 911, 10.1016/j.trb.2008.03.005 Yu, 2018, Multi-dual decomposition solution for risk-averse facility location problem, Transp. Res. E-Logist. Transp. Rev., 116, 70, 10.1016/j.tre.2018.05.010 Yu, 2010, A simulated annealing heuristic for the capacitated location routing problem, Comput. Ind. Eng., 58, 288, 10.1016/j.cie.2009.10.007 Zhang, 2004, Modeling variable demand equilibrium under second-best road pricing, Transp. Res. B-Methodol., 38, 733, 10.1016/j.trb.2003.12.001 Zhong, 2017, Optimal road congestion pricing for both traffic efficiency and safety under demand uncertainty, J. Transp. Eng. A-Syst., 143, 04017004, 10.1061/JTEPBS.0000025