How to cite this paper
Esmaeili, V & Barzinpour, F. (2014). Integrated decision making model for urban disaster management: A multi-objective genetic algorithm approach.International Journal of Industrial Engineering Computations , 5(1), 55-70.
Refrences
Balcik, B., & Beamon, B.M. (2008). Facility location in humanitarian relief. International Journal of Logistics: Research and Applications, 11(2), 101–121.
Balcik, B., Beamon, B.M., & Smilowitz, K. (2008). Last mile distribution in Humanitarian relief. Journal of Intelligent Transportation Systems, 12(2), 51–63.
Barbaroso?lu, G., ?zdamar, L., & Cevik, A. (2002). An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. European Journal of Operational Research, 140(1), 118-133.
Beamon, B.M., & Kotleba, S.A. (2006). Inventory modeling for complex emergencies in humanitarian relief operations. International Journal of Logistics Research and Applications, 9(1), 1-18.
Beamon, B.M., & Kotleba, S.A. (2006). Inventory management support systems for emergency humanitarian relief operations in South Sudan. International Journal of Logistics Management, 17(2), 187-212.
Ben-Tal, A. Do Chung, B. Reddy Mandala, S., & Yao, T. (2011). Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains. Transportation Research Part B: Methodological, 45(8), 1177–1189.
Bozorgi-Amiri, A., Jabalameli, M.S., Alinaghian, M., Heydari, M. (2011a). A modified particle swarm optimization for disaster relief logistics under uncertain environment. International Journal of Advanced Manufacturing Technology, 60(1-4), 357-371.
Bozorgi-Amiri, A., Jabalameli M.S., & Mirzapour Al-e-Hashem S. M. J. (2011b). A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty, OR Spectrum, 1-29.
Bretschneider, S., & Kimms, A. (2011). A basic mathematical model for evacuation problems in urban areas. Transportation Research Part A: policy and practice, 45(6), 523–539.
Chakravarty, A.K. (2011). A contingent plan for disaster response. Journal of Production Economics, 134(1), 3–15.
Charles, A., & Lauras, M. (2011). An enterprise modeling approach for better optimization modeling: application to the humanitarian relief chain coordination problem. OR Spectrum, 33(3), 815–841.
Coello, C. A. C., Lamont, G. B., & Van Veldhuisen, D. A. (2007). Evolutionary algorithms for solving multi-objective problems. Springer.
Daskin, M. S. (1995). Network and discrete location: models, algorithms, and applications. New York: John Wiley & Sons.
De Ville de Goyet, J. (2001). Emergency preparedness and disaster relief program, World Health Organization. Humanitarian Supply Management and Logistics in the Health Sector, Washington, D.C.
Doerner, K. F., & Hartl, R. F. (2008). Health care logistics, emergency preparedness, and disaster relief: new challenges for routing problems with a focus on the Austrian situation. In The Vehicle Routing Problem: Latest Advances and New Challenges (pp. 527-550). Springer US.
Jia, H., Ordonez, F., & Dessouky, M. M. (2007). Solution approaches for facility location of medical supplies for large-scale emergencies. Computers & Industrial Engineering, 52, 257–276.
Knott, R. (1987). The logistics of bulk relief suppliers. Disaster, 11, 113 –115.
Ng, M., & Waller, S. T. (2010). Reliable evacuation planning via demand inflation and supply deflation. Transportation Research Part E: Logistics and Transportation Review, 46(6), 1086-1094.
Ortu?o, M. T., Tirado, G., & Vitoriano, B. (2011). A lexicographical goal programming based decision support system for logistics of Humanitarian Aid.Top, 19(2), 464-479.
Mete, H. O., & Zabinsky, Z. B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126(1), 76-84.
Ozdamar, L., & Demir, O. (2012). A hierarchical clustering and routing procedure for large scale disaster relief logistics planning. Transportation Research Part E, 48, 591–602.
Ozdamar, L., Ekinci, E., & Kucukyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of Operations Research, 129, 217–245.
Qin, J., Xing, Y., Wang, S., Wang, K., & Chaudhry, S. S. (2012). An inter-temporal resource emergency management model. Computers and Operations Research, 39(8), 1909–1918.
Rath, S., & Gutjahr, W. J. (2011). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & Operations Research.
Rathi, A.K., Church, R.L. & Solanki, R.S. (1992). Allocating resources to support a multicommodity flow with time windows. Logistics and Transportation Review, 28 (2), 167–188.
Roghanian, E., & Foroughi, A. (2010). An empirical study of Iranian regional airports using robust data envelopment analysis. International Journal of Industrial Engineering Computations, 1(1), 65-72.
Rottkemper, B., Fischer, K., Blecken, A., & Danne Ch. (2011). Inventory relocation for overlapping disaster settings in humanitarian operations. OR Spectrum, 33, 721–749.
Sheu, J.B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E, 43, 687-709.
Tricoire, F., Graf, A., & Gutjahr, W. J. (2011). The bi-objective stochastic covering tour problem. Computers & Operations Research, 39(7), 1582–1592.
Tzeng G.H., Cheng H.J., & Huang T.D. (2007). Multi-objective optimal planning for designing relief delivery systems. Transportation Research Part E, 43, 673–686.
Van Duin, J. H. R., Quak, H., & Mu?uzuri, J. (2010). New challenges for urban consolidation centres: A case study in The Hague. Procedia-Social and Behavioral Sciences, 2(3), 6177-6188.
Van Wassenhove, L. N. (2005). Humanitarian aid logistics: supply chain management in high gear†. Journal of the Operational Research Society, 57(5), 475-489.
Yazdian, S.A., Shahanaghi, K. (2011). A multi-objective possibilistic programming approach for locating distribution centers and allocating customers demands in supply chains. International Journal of Industrial Engineering Computations, 2(1), 193-202.
Balcik, B., Beamon, B.M., & Smilowitz, K. (2008). Last mile distribution in Humanitarian relief. Journal of Intelligent Transportation Systems, 12(2), 51–63.
Barbaroso?lu, G., ?zdamar, L., & Cevik, A. (2002). An interactive approach for hierarchical analysis of helicopter logistics in disaster relief operations. European Journal of Operational Research, 140(1), 118-133.
Beamon, B.M., & Kotleba, S.A. (2006). Inventory modeling for complex emergencies in humanitarian relief operations. International Journal of Logistics Research and Applications, 9(1), 1-18.
Beamon, B.M., & Kotleba, S.A. (2006). Inventory management support systems for emergency humanitarian relief operations in South Sudan. International Journal of Logistics Management, 17(2), 187-212.
Ben-Tal, A. Do Chung, B. Reddy Mandala, S., & Yao, T. (2011). Robust optimization for emergency logistics planning: Risk mitigation in humanitarian relief supply chains. Transportation Research Part B: Methodological, 45(8), 1177–1189.
Bozorgi-Amiri, A., Jabalameli, M.S., Alinaghian, M., Heydari, M. (2011a). A modified particle swarm optimization for disaster relief logistics under uncertain environment. International Journal of Advanced Manufacturing Technology, 60(1-4), 357-371.
Bozorgi-Amiri, A., Jabalameli M.S., & Mirzapour Al-e-Hashem S. M. J. (2011b). A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty, OR Spectrum, 1-29.
Bretschneider, S., & Kimms, A. (2011). A basic mathematical model for evacuation problems in urban areas. Transportation Research Part A: policy and practice, 45(6), 523–539.
Chakravarty, A.K. (2011). A contingent plan for disaster response. Journal of Production Economics, 134(1), 3–15.
Charles, A., & Lauras, M. (2011). An enterprise modeling approach for better optimization modeling: application to the humanitarian relief chain coordination problem. OR Spectrum, 33(3), 815–841.
Coello, C. A. C., Lamont, G. B., & Van Veldhuisen, D. A. (2007). Evolutionary algorithms for solving multi-objective problems. Springer.
Daskin, M. S. (1995). Network and discrete location: models, algorithms, and applications. New York: John Wiley & Sons.
De Ville de Goyet, J. (2001). Emergency preparedness and disaster relief program, World Health Organization. Humanitarian Supply Management and Logistics in the Health Sector, Washington, D.C.
Doerner, K. F., & Hartl, R. F. (2008). Health care logistics, emergency preparedness, and disaster relief: new challenges for routing problems with a focus on the Austrian situation. In The Vehicle Routing Problem: Latest Advances and New Challenges (pp. 527-550). Springer US.
Jia, H., Ordonez, F., & Dessouky, M. M. (2007). Solution approaches for facility location of medical supplies for large-scale emergencies. Computers & Industrial Engineering, 52, 257–276.
Knott, R. (1987). The logistics of bulk relief suppliers. Disaster, 11, 113 –115.
Ng, M., & Waller, S. T. (2010). Reliable evacuation planning via demand inflation and supply deflation. Transportation Research Part E: Logistics and Transportation Review, 46(6), 1086-1094.
Ortu?o, M. T., Tirado, G., & Vitoriano, B. (2011). A lexicographical goal programming based decision support system for logistics of Humanitarian Aid.Top, 19(2), 464-479.
Mete, H. O., & Zabinsky, Z. B. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126(1), 76-84.
Ozdamar, L., & Demir, O. (2012). A hierarchical clustering and routing procedure for large scale disaster relief logistics planning. Transportation Research Part E, 48, 591–602.
Ozdamar, L., Ekinci, E., & Kucukyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of Operations Research, 129, 217–245.
Qin, J., Xing, Y., Wang, S., Wang, K., & Chaudhry, S. S. (2012). An inter-temporal resource emergency management model. Computers and Operations Research, 39(8), 1909–1918.
Rath, S., & Gutjahr, W. J. (2011). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & Operations Research.
Rathi, A.K., Church, R.L. & Solanki, R.S. (1992). Allocating resources to support a multicommodity flow with time windows. Logistics and Transportation Review, 28 (2), 167–188.
Roghanian, E., & Foroughi, A. (2010). An empirical study of Iranian regional airports using robust data envelopment analysis. International Journal of Industrial Engineering Computations, 1(1), 65-72.
Rottkemper, B., Fischer, K., Blecken, A., & Danne Ch. (2011). Inventory relocation for overlapping disaster settings in humanitarian operations. OR Spectrum, 33, 721–749.
Sheu, J.B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E, 43, 687-709.
Tricoire, F., Graf, A., & Gutjahr, W. J. (2011). The bi-objective stochastic covering tour problem. Computers & Operations Research, 39(7), 1582–1592.
Tzeng G.H., Cheng H.J., & Huang T.D. (2007). Multi-objective optimal planning for designing relief delivery systems. Transportation Research Part E, 43, 673–686.
Van Duin, J. H. R., Quak, H., & Mu?uzuri, J. (2010). New challenges for urban consolidation centres: A case study in The Hague. Procedia-Social and Behavioral Sciences, 2(3), 6177-6188.
Van Wassenhove, L. N. (2005). Humanitarian aid logistics: supply chain management in high gear†. Journal of the Operational Research Society, 57(5), 475-489.
Yazdian, S.A., Shahanaghi, K. (2011). A multi-objective possibilistic programming approach for locating distribution centers and allocating customers demands in supply chains. International Journal of Industrial Engineering Computations, 2(1), 193-202.