How to cite this paper
Fereiduni, M & Hamzehee, M. (2016). A P-robust model in humanitarian logistics in a non-neutral political environment.Uncertain Supply Chain Management, 4(4), 249-262.
Refrences
Afshar, A., & Haghani, A. (2012). Modeling integrated supply chain logistics in real-time large-scale disaster relief operations. Socio-Economic Planning Sciences, 46(4), 327-338.
Ahmadi, M., Seifi, A., & Tootooni, B. (2015). A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: A case study on San Francisco district. Transportation Research Part E: Logistics and Transportation Review, 75, 145-163.
Altay, N., & Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475-493.
Barbaroso&gcaron, G., (2004). A two-stage stochastic programming framework for transportation planning in disaster response. Journal of the Operational Research Society, 55(1), 43–53.
Barbarosoğlu, G., Özdamar, 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.
Barzinpour, F. & Esmaeili, V. (2014). A multi-objective relief chain location distribution model for urban disaster management. The International Journal of Advanced Manufacturing Technology, 70(5-8), 1291–1302.
Caunhye, A.M., Nie, X. & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-Economic Planning Sciences, 46(1), 4–13.
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.
Fiedrich, F., Gehbauer, F. & Rickers, U. (2000). Optimized resource allocation for emergency response after earthquake disasters. Safety Science, 35(1), 41–57.
Gutierrez, G.J. & Kouvelis, P. (1995). A robustness approach to international sourcing. Annals of Operations Research, 59(1), 165–193.
Gutiérrez, G.J., Kouvelis, P. & Kurawarwala, A.A., (1996). A robustness approach to uncapacitated network design problems. European Journal of Operational Research, 94(2), 362–376.
Jabbarzadeh, A., Fahimnia, B. & Seuring, S., (2014). Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application. Transportation Research Part E: Logistics and Transportation Review, 70, 225–244.
Kovács, G., & Spens, K. M. (2007). Humanitarian logistics in disaster relief operations. International Journal of Physical Distribution & Logistics Management, 37(2), 99-114.
Jing, W., Jianming, Z., Jun, H., & Min, Z. (2010, August). Multi-level emergency resources location and allocation. In Emergency Management and Management Sciences (ICEMMS), 2010 IEEE International Conference on (pp. 202-205). IEEE.
Jotshi, A., Gong, Q. & Batta, R., (2009). Dispatching and routing of emergency vehicles in disaster mitigation using data fusion. Socio-Economic Planning Sciences, 43(1), pp.1–24.
Knott, R. (1987). The logistics of bulk relief supplies. Disasters, 11(2), pp.113–115.
Knott, R.P. (1988). Vehicle scheduling for emergency relief management: A knowledge‐based approach. Disasters, 12(4), 285–293.
Kouvelis, P., Kurawarwala, A.A. & Gutierrez, G.J. (1992). Algorithms for robust single and multiple period layout planning for manufacturing systems. European Journal of Operational Research, 63(2), 287–303.
Kress, M. (2016). Humanitarian Logistics. In Operational Logistics. Springer, 137–144.
Lin, Y. H., Batta, R., Rogerson, P. A., Blatt, A., & Flanigan, M. (2011). A logistics model for emergency supply of critical items in the aftermath of a disaster. Socio-Economic Planning Sciences, 45(4), 132-145.
Ma, X., Song, Y. & Huang, J. (2010). Min-max robust optimization for the wounded transfer problem in large-scale emergencies. In Control and Decision Conference (CCDC), 2010 Chinese. IEEE, pp. 901–904.
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.
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., Semet, F. & Doerner, K.F. (2011). Risk approaches for delivering disaster relief supplies. OR Spectrum, 33(3), 543–569.
Ozdamar, L. (2011). Planning helicopter logistics in disaster relief. OR Spectrum, 33(3), 655–672.
Özdamar, L. & Demir, O. (2012). A hierarchical clustering and routing procedure for large scale disaster relief logistics planning. Transportation Research Part E: Logistics and Transportation Review, 48(3), 591–602.
Özdamar, L., Ekinci, E. & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of Operations Research, 129(1-4), 217–245.
Özdamar, L. & Ertem, M.A., (2015). Models, solutions and enabling technologies in humanitarian logistics. European Journal of Operational Research, 244(1), pp.55–65.
Rawls, C.G. & Turnquist, M.A., (2010). Pre-positioning of emergency supplies for disaster response. Transportation research part B: Methodological, 44(4), pp.521–534.
Rezaei-Malek, M., Tavakkoli-Moghaddam, R., Zahiri, B., & Bozorgi-Amiri, A. (2016). An interactive approach for designing a robust disaster relief logistics network with perishable commodities. Computers & Industrial Engineering, 94, 201-215.
Sabzehchian, M., Abolghasemi, H., Radfar, M. H., Jonaidi-Jafari, N., Ghasemzadeh, H., & Burkle, F. M. (2006). Pediatric trauma at tertiary-level hospitals in the aftermath of the Bam, Iran Earthquake. Prehospital and Disaster Medicine, 21(05), 336-339.
Salmerón, J. & Apte, A. (2010). Stochastic optimization for natural disaster asset prepositioning. Production and Operations Management, 19(5), 561–574.
Sheu, J.-B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E: Logistics and Transportation Review, 43(6), 687–709.
Shrivastava, P., Mitroff, I. I., Miller, D., & Miclani, A. (1988). Understanding industrial crises. Journal of Management Studies, 25(4), 285-303.
Snyder, L. V & Daskin, M.S., (2006). Stochastic p-robust location problems. IIE Transactions, 38(11), 971–985.
Thomas, A. & Mizushima, M. (2005). Logistics training: necessity or luxury. Forced Migration Review, 22(22), pp.60–61.
Tofighi, S., Torabi, S.A. & Mansouri, S.A. (2016). Humanitarian logistics network design under mixed uncertainty. European Journal of Operational Research, 250(1), 239–250.
Tzeng, G.-H., Cheng, H.-J. & Huang, T.D. (2007). Multi-objective optimal planning for designing relief delivery systems. Transportation Research Part E: Logistics and Transportation Review, 43(6), 673–686.
Yi, W. & Kumar, A. (2007). Ant colony optimization for disaster relief operations. Transportation Research Part E: Logistics and Transportation Review, 43(6), 660–672.
Yi, W., & Özdamar, L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research, 179(3), 1177-1193.
Zhan, S. L., & Liu, N. (2011, April). A multi-objective stochastic programming model for emergency logistics based on goal programming. In Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on (pp. 640-644). IEEE.
Ahmadi, M., Seifi, A., & Tootooni, B. (2015). A humanitarian logistics model for disaster relief operation considering network failure and standard relief time: A case study on San Francisco district. Transportation Research Part E: Logistics and Transportation Review, 75, 145-163.
Altay, N., & Green, W. G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175(1), 475-493.
Barbaroso&gcaron, G., (2004). A two-stage stochastic programming framework for transportation planning in disaster response. Journal of the Operational Research Society, 55(1), 43–53.
Barbarosoğlu, G., Özdamar, 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.
Barzinpour, F. & Esmaeili, V. (2014). A multi-objective relief chain location distribution model for urban disaster management. The International Journal of Advanced Manufacturing Technology, 70(5-8), 1291–1302.
Caunhye, A.M., Nie, X. & Pokharel, S. (2012). Optimization models in emergency logistics: A literature review. Socio-Economic Planning Sciences, 46(1), 4–13.
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.
Fiedrich, F., Gehbauer, F. & Rickers, U. (2000). Optimized resource allocation for emergency response after earthquake disasters. Safety Science, 35(1), 41–57.
Gutierrez, G.J. & Kouvelis, P. (1995). A robustness approach to international sourcing. Annals of Operations Research, 59(1), 165–193.
Gutiérrez, G.J., Kouvelis, P. & Kurawarwala, A.A., (1996). A robustness approach to uncapacitated network design problems. European Journal of Operational Research, 94(2), 362–376.
Jabbarzadeh, A., Fahimnia, B. & Seuring, S., (2014). Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application. Transportation Research Part E: Logistics and Transportation Review, 70, 225–244.
Kovács, G., & Spens, K. M. (2007). Humanitarian logistics in disaster relief operations. International Journal of Physical Distribution & Logistics Management, 37(2), 99-114.
Jing, W., Jianming, Z., Jun, H., & Min, Z. (2010, August). Multi-level emergency resources location and allocation. In Emergency Management and Management Sciences (ICEMMS), 2010 IEEE International Conference on (pp. 202-205). IEEE.
Jotshi, A., Gong, Q. & Batta, R., (2009). Dispatching and routing of emergency vehicles in disaster mitigation using data fusion. Socio-Economic Planning Sciences, 43(1), pp.1–24.
Knott, R. (1987). The logistics of bulk relief supplies. Disasters, 11(2), pp.113–115.
Knott, R.P. (1988). Vehicle scheduling for emergency relief management: A knowledge‐based approach. Disasters, 12(4), 285–293.
Kouvelis, P., Kurawarwala, A.A. & Gutierrez, G.J. (1992). Algorithms for robust single and multiple period layout planning for manufacturing systems. European Journal of Operational Research, 63(2), 287–303.
Kress, M. (2016). Humanitarian Logistics. In Operational Logistics. Springer, 137–144.
Lin, Y. H., Batta, R., Rogerson, P. A., Blatt, A., & Flanigan, M. (2011). A logistics model for emergency supply of critical items in the aftermath of a disaster. Socio-Economic Planning Sciences, 45(4), 132-145.
Ma, X., Song, Y. & Huang, J. (2010). Min-max robust optimization for the wounded transfer problem in large-scale emergencies. In Control and Decision Conference (CCDC), 2010 Chinese. IEEE, pp. 901–904.
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.
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., Semet, F. & Doerner, K.F. (2011). Risk approaches for delivering disaster relief supplies. OR Spectrum, 33(3), 543–569.
Ozdamar, L. (2011). Planning helicopter logistics in disaster relief. OR Spectrum, 33(3), 655–672.
Özdamar, L. & Demir, O. (2012). A hierarchical clustering and routing procedure for large scale disaster relief logistics planning. Transportation Research Part E: Logistics and Transportation Review, 48(3), 591–602.
Özdamar, L., Ekinci, E. & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of Operations Research, 129(1-4), 217–245.
Özdamar, L. & Ertem, M.A., (2015). Models, solutions and enabling technologies in humanitarian logistics. European Journal of Operational Research, 244(1), pp.55–65.
Rawls, C.G. & Turnquist, M.A., (2010). Pre-positioning of emergency supplies for disaster response. Transportation research part B: Methodological, 44(4), pp.521–534.
Rezaei-Malek, M., Tavakkoli-Moghaddam, R., Zahiri, B., & Bozorgi-Amiri, A. (2016). An interactive approach for designing a robust disaster relief logistics network with perishable commodities. Computers & Industrial Engineering, 94, 201-215.
Sabzehchian, M., Abolghasemi, H., Radfar, M. H., Jonaidi-Jafari, N., Ghasemzadeh, H., & Burkle, F. M. (2006). Pediatric trauma at tertiary-level hospitals in the aftermath of the Bam, Iran Earthquake. Prehospital and Disaster Medicine, 21(05), 336-339.
Salmerón, J. & Apte, A. (2010). Stochastic optimization for natural disaster asset prepositioning. Production and Operations Management, 19(5), 561–574.
Sheu, J.-B. (2007). An emergency logistics distribution approach for quick response to urgent relief demand in disasters. Transportation Research Part E: Logistics and Transportation Review, 43(6), 687–709.
Shrivastava, P., Mitroff, I. I., Miller, D., & Miclani, A. (1988). Understanding industrial crises. Journal of Management Studies, 25(4), 285-303.
Snyder, L. V & Daskin, M.S., (2006). Stochastic p-robust location problems. IIE Transactions, 38(11), 971–985.
Thomas, A. & Mizushima, M. (2005). Logistics training: necessity or luxury. Forced Migration Review, 22(22), pp.60–61.
Tofighi, S., Torabi, S.A. & Mansouri, S.A. (2016). Humanitarian logistics network design under mixed uncertainty. European Journal of Operational Research, 250(1), 239–250.
Tzeng, G.-H., Cheng, H.-J. & Huang, T.D. (2007). Multi-objective optimal planning for designing relief delivery systems. Transportation Research Part E: Logistics and Transportation Review, 43(6), 673–686.
Yi, W. & Kumar, A. (2007). Ant colony optimization for disaster relief operations. Transportation Research Part E: Logistics and Transportation Review, 43(6), 660–672.
Yi, W., & Özdamar, L. (2007). A dynamic logistics coordination model for evacuation and support in disaster response activities. European Journal of Operational Research, 179(3), 1177-1193.
Zhan, S. L., & Liu, N. (2011, April). A multi-objective stochastic programming model for emergency logistics based on goal programming. In Computational Sciences and Optimization (CSO), 2011 Fourth International Joint Conference on (pp. 640-644). IEEE.