How to cite this paper
Rahafrooz, M & Alinaghian, M. (2016). A novel robust chance constrained possibilistic programming model for disaster relief logistics under uncertainty.International Journal of Industrial Engineering Computations , 7(4), 649-670.
Refrences
Belardo, S., Harrald, J., Wallace, W. A., & Ward, J. (1984). A partial covering approach to siting response resources for major maritime oil spills. Management Science, 30(10), 1184-1196.
Ben-Tal, A., & Nemirovski, A. (2002). Robust optimization–methodology and applications. Mathematical Programming, 92(3), 453-480.
Ben-Tal, A., & Nemirovski, A. (2008). Selected topics in robust convex optimization. Mathematical Programming, 112(1), 125-158.
Bozorgi-Amiri, A., Jabalameli, M. S., Alinaghian, M., & Heydari, M. (2012). A modified particle swarm optimization for disaster relief logistics under uncertain environment. The International Journal of Advanced Manufacturing Technology, 60(1-4), 357-371.
Bozorgi-Amiri, A., Jabalameli, M. S., & Al-e-Hashem, S. M. (2013). A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty. OR spectrum, 35(4), 905-933.
Bhattacharya, U., Rao, J. R., & Tiwari, R. N. (1992). Fuzzy multi-criteria facility location problem. Fuzzy Sets and Systems, 51(3), 277-287.
Caunhye, A. M., Nie, X., & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-Economic Planning Sciences, 46(1), 4-13.
Dessouky, M., Ordonez, F., Jia, H., & Shen, Z. (2006). Rapid distribution of medical supplies. In Patient Flow: Reducing Delay in Healthcare Delivery (pp. 309-338). Springer US.
Chang, M. S., Tseng, Y. L., & Chen, J. W. (2007). A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 43(6), 737-754.
Darzentas, J. (1987). A discrete location model with fuzzy accessibility measures. Fuzzy Sets and Systems, 23(1), 149-154.
Dubois, D., & Prade, H. (1987). The mean value of a fuzzy number. Fuzzy sets and systems, 24(3), 279-300.
Duran, S., Gutierrez, M. A., & Keskinocak, P. (2011). Pre-positioning of emergency items for CARE international. Interfaces, 41(3), 223-237.
Haghani, A., & Afshar, A. (2009). Supply chain management in disaster response.
Heilpern, S. (1992). The expected value of a fuzzy number. Fuzzy sets and Systems, 47(1), 81-86.
Hoseinpour, M., & Zare, M. (2009). Seismic Hazard Assessment of Tabriz, a City in the Northwest of Iran.
Horner, M. W., & Downs, J. A. (2010). Optimizing hurricane disaster relief goods distribution: model development and application with respect to planning strategies. Disasters, 34(3), 821-844.
Inuiguchi, M., & Ramık, J. (2000). Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem. Fuzzy sets and systems, 111(1), 3-28.
Jia, H., Ordóñez, F., & Dessouky, M. (2007). A modeling framework for facility location of medical services for large-scale emergencies. IIE transactions, 39(1), 41-55.
Kongsomsaksakul, S., Yang, C., & Chen, A. (2005). Shelter location-allocation model for flood evacuation planning. Journal of the Eastern Asia Society for Transportation Studies, 6, 4237-4252.
Kovács, G., & Spens, K. M. (2007). Humanitarian logistics in disaster relief operations. International Journal of Physical Distribution & Logistics Management, 37(2), 99-114.
Luis, E., Dolinskaya, I. S., & Smilowitz, K. R. (2012). Disaster relief routing: Integrating research and practice. Socio-economic planning sciences, 46(1), 88-97.
Liu, B., & Iwamura, K. (1998). Chance constrained programming with fuzzy parameters. Fuzzy sets and systems, 94(2), 227-237.
Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, 213(2), 455-465.
Mavrotas, G., & Florios, K. (2013). An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems. Applied Mathematics and Computation, 219(18), 9652-9669.
McCall, V. M. (2006). Designing and pre-positioning humanitarian assistance pack-up kits (HA PUKs) to support pacific fleet emergency relief operations. NAVAL POSTGRADUATE SCHOOL MONTEREY CA.
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.
Miettinen, K. (2012). Nonlinear multiobjective optimization (Vol. 12). Springer Science & Business Media.
Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations research, 43(2), 264-281.
Najafi, M., Eshghi, K., & Dullaert, W. (2013). A multi-objective robust optimization model for logistics planning in the earthquake response phase. Transportation Research Part E: Logistics and Transportation Review, 49(1), 217-249.
Nolz, P. C., Doerner, K. F., Gutjahr, W. J., & Hartl, R. F. (2010). A bi-objective metaheuristic for disaster relief operation planning. In Advances in multi-objective nature inspired computing (pp. 167-187). Springer Berlin Heidelberg.
Owen, S. H., & Daskin, M. S. (1998). Strategic facility location: A review. European Journal of Operational Research, 111(3), 423-447.
Pishvaee, M. S., Razmi, J., & Torabi, S. A. (2012). Robust possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy sets and systems, 206, 1-20.
Psaraftis, H. N., Tharakan, G. G., & Ceder, A. (1986). Optimal response to oil spills: the strategic decision case. Operations Research, 34(2), 203-217.
Rao, J. R., & Saraswati, K. (1988). Facility location problem on a network under multiple criteria—fuzzy set theoretic approach.
Rawls, C. G., & Turnquist, M. A. (2010). Pre-positioning of emergency supplies for disaster response. Transportation research part B: Methodological, 44(4), 521-534.
Rubin, C. B., Saperstein, M. D., & Barbee, D. G. (1985). Community recovery from a major natural disaster.
Sherali, H. D., Carter, T. B., & Hobeika, A. G. (1991). A location-allocation model and algorithm for evacuation planning under hurricane/flood conditions. Transportation Research Part B: Methodological, 25(6), 439-452.
Soltani, R., Sadjadi, S. J., & Tavakkoli-Moghaddam, R. (2015). Entropy based redundancy allocation in series-parallel systems with choices of a redundancy strategy and component type: A multi-objective model. Appl. Math, 9(2), 1049-1058.
Steuer, R. E. (1986). Multiple criteria optimization: theory, computation, and applications. Wiley.
Zhou, J., & Liu, B. (2007). Modeling capacitated location–allocation problem with fuzzy demands. Computers & Industrial Engineering, 53(3), 454-468.
Ben-Tal, A., & Nemirovski, A. (2002). Robust optimization–methodology and applications. Mathematical Programming, 92(3), 453-480.
Ben-Tal, A., & Nemirovski, A. (2008). Selected topics in robust convex optimization. Mathematical Programming, 112(1), 125-158.
Bozorgi-Amiri, A., Jabalameli, M. S., Alinaghian, M., & Heydari, M. (2012). A modified particle swarm optimization for disaster relief logistics under uncertain environment. The International Journal of Advanced Manufacturing Technology, 60(1-4), 357-371.
Bozorgi-Amiri, A., Jabalameli, M. S., & Al-e-Hashem, S. M. (2013). A multi-objective robust stochastic programming model for disaster relief logistics under uncertainty. OR spectrum, 35(4), 905-933.
Bhattacharya, U., Rao, J. R., & Tiwari, R. N. (1992). Fuzzy multi-criteria facility location problem. Fuzzy Sets and Systems, 51(3), 277-287.
Caunhye, A. M., Nie, X., & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-Economic Planning Sciences, 46(1), 4-13.
Dessouky, M., Ordonez, F., Jia, H., & Shen, Z. (2006). Rapid distribution of medical supplies. In Patient Flow: Reducing Delay in Healthcare Delivery (pp. 309-338). Springer US.
Chang, M. S., Tseng, Y. L., & Chen, J. W. (2007). A scenario planning approach for the flood emergency logistics preparation problem under uncertainty. Transportation Research Part E: Logistics and Transportation Review, 43(6), 737-754.
Darzentas, J. (1987). A discrete location model with fuzzy accessibility measures. Fuzzy Sets and Systems, 23(1), 149-154.
Dubois, D., & Prade, H. (1987). The mean value of a fuzzy number. Fuzzy sets and systems, 24(3), 279-300.
Duran, S., Gutierrez, M. A., & Keskinocak, P. (2011). Pre-positioning of emergency items for CARE international. Interfaces, 41(3), 223-237.
Haghani, A., & Afshar, A. (2009). Supply chain management in disaster response.
Heilpern, S. (1992). The expected value of a fuzzy number. Fuzzy sets and Systems, 47(1), 81-86.
Hoseinpour, M., & Zare, M. (2009). Seismic Hazard Assessment of Tabriz, a City in the Northwest of Iran.
Horner, M. W., & Downs, J. A. (2010). Optimizing hurricane disaster relief goods distribution: model development and application with respect to planning strategies. Disasters, 34(3), 821-844.
Inuiguchi, M., & Ramık, J. (2000). Possibilistic linear programming: a brief review of fuzzy mathematical programming and a comparison with stochastic programming in portfolio selection problem. Fuzzy sets and systems, 111(1), 3-28.
Jia, H., Ordóñez, F., & Dessouky, M. (2007). A modeling framework for facility location of medical services for large-scale emergencies. IIE transactions, 39(1), 41-55.
Kongsomsaksakul, S., Yang, C., & Chen, A. (2005). Shelter location-allocation model for flood evacuation planning. Journal of the Eastern Asia Society for Transportation Studies, 6, 4237-4252.
Kovács, G., & Spens, K. M. (2007). Humanitarian logistics in disaster relief operations. International Journal of Physical Distribution & Logistics Management, 37(2), 99-114.
Luis, E., Dolinskaya, I. S., & Smilowitz, K. R. (2012). Disaster relief routing: Integrating research and practice. Socio-economic planning sciences, 46(1), 88-97.
Liu, B., & Iwamura, K. (1998). Chance constrained programming with fuzzy parameters. Fuzzy sets and systems, 94(2), 227-237.
Mavrotas, G. (2009). Effective implementation of the ε-constraint method in multi-objective mathematical programming problems. Applied mathematics and computation, 213(2), 455-465.
Mavrotas, G., & Florios, K. (2013). An improved version of the augmented ε-constraint method (AUGMECON2) for finding the exact pareto set in multi-objective integer programming problems. Applied Mathematics and Computation, 219(18), 9652-9669.
McCall, V. M. (2006). Designing and pre-positioning humanitarian assistance pack-up kits (HA PUKs) to support pacific fleet emergency relief operations. NAVAL POSTGRADUATE SCHOOL MONTEREY CA.
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.
Miettinen, K. (2012). Nonlinear multiobjective optimization (Vol. 12). Springer Science & Business Media.
Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations research, 43(2), 264-281.
Najafi, M., Eshghi, K., & Dullaert, W. (2013). A multi-objective robust optimization model for logistics planning in the earthquake response phase. Transportation Research Part E: Logistics and Transportation Review, 49(1), 217-249.
Nolz, P. C., Doerner, K. F., Gutjahr, W. J., & Hartl, R. F. (2010). A bi-objective metaheuristic for disaster relief operation planning. In Advances in multi-objective nature inspired computing (pp. 167-187). Springer Berlin Heidelberg.
Owen, S. H., & Daskin, M. S. (1998). Strategic facility location: A review. European Journal of Operational Research, 111(3), 423-447.
Pishvaee, M. S., Razmi, J., & Torabi, S. A. (2012). Robust possibilistic programming for socially responsible supply chain network design: A new approach. Fuzzy sets and systems, 206, 1-20.
Psaraftis, H. N., Tharakan, G. G., & Ceder, A. (1986). Optimal response to oil spills: the strategic decision case. Operations Research, 34(2), 203-217.
Rao, J. R., & Saraswati, K. (1988). Facility location problem on a network under multiple criteria—fuzzy set theoretic approach.
Rawls, C. G., & Turnquist, M. A. (2010). Pre-positioning of emergency supplies for disaster response. Transportation research part B: Methodological, 44(4), 521-534.
Rubin, C. B., Saperstein, M. D., & Barbee, D. G. (1985). Community recovery from a major natural disaster.
Sherali, H. D., Carter, T. B., & Hobeika, A. G. (1991). A location-allocation model and algorithm for evacuation planning under hurricane/flood conditions. Transportation Research Part B: Methodological, 25(6), 439-452.
Soltani, R., Sadjadi, S. J., & Tavakkoli-Moghaddam, R. (2015). Entropy based redundancy allocation in series-parallel systems with choices of a redundancy strategy and component type: A multi-objective model. Appl. Math, 9(2), 1049-1058.
Steuer, R. E. (1986). Multiple criteria optimization: theory, computation, and applications. Wiley.
Zhou, J., & Liu, B. (2007). Modeling capacitated location–allocation problem with fuzzy demands. Computers & Industrial Engineering, 53(3), 454-468.