How to cite this paper
Babaei, A & Shahanaghi, K. (2017). A new model for planning the distributed facilities locations under emergency conditions and uncertainty space in relief logistics.Uncertain Supply Chain Management, 5(2), 105-125.
Refrences
Aly, A. A., & White, J. A. (1978). Probabilistic formulation of the emergency service location problem. Journal of the Operational Research Society,29(12), 1167-1179.
Ben-Tal, A., Do Chung, B., Mandala, S. R., & 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.
Balcik, B., & Beamon, B. M. (2008). Facility location in humanitarian relief.International Journal of Logistics, 11(2), 101-121.
Berlin, G. N., & Liebman, J. C. (1974). Mathematical analysis of emergency ambulance location. Socio-Economic Planning Sciences, 8(6), 323-328.
Ball, M. O., & Lin, F. L. (1993). A reliability model applied to emergency service vehicle location. Operations research, 41(1), 18-36.
Berman, O., Drezner, Z., & Wesolowsky, G. O. (2007). The transfer point location problem. European journal of operational research, 179(3), 978-989.
Balcik, B., Beamon, B. M., & Smilowitz, K. (2008). Last mile distribution in humanitarian relief. Journal of Intelligent Transportation Systems, 12(2), 51-63.
Campos, V., Bandeira, R., & Bandeira, A. (2012). A method for evacuation route planning in disaster situations. Procedia-Social and Behavioral Sciences, 54, 503-512.
Campbell, A. M., Vandenbussche, D., & Hermann, W. (2008). Routing for relief efforts. Transportation Science, 42(2), 127-145.
Liou, C. D. (2015). Markovian queue optimisation analysis with an unreliable server subject to working breakdowns and impatient customers. International Journal of Systems Science, 46(12), 2165-2182.
Daskin, M. S. (1983). A maximum expected covering location model: formulation, properties and heuristic solution. Transportation Science, 17(1), 48-70.
Davis, L. B., Samanlioglu, F., Qu, X., & Root, S. (2013). Inventory planning and coordination in disaster relief efforts. International Journal of Production Economics, 141(2), 561-573.
Doerner, K. F., Gutjahr, W. J., & Nolz, P. C. (2009). Multi-criteria location planning for public facilities in tsunami-prone coastal areas. Or Spectrum,31(3), 651-678.
Drezner, T. (2007). Casualty collection points: number and population covered. In Proceedings of the southwest Decision Sciences Institute 38th annual meeting (pp. 426-433).
Edrissi, A., Poorzahedy, H., Nassiri, H., & Nourinejad, M. (2013). A multi-agent optimization formulation of earthquake disaster prevention and management. European Journal of Operational Research, 229(1), 261-275.
Erkut, E., Ingolfsson, A., & Budge, S. (2007). Maximum availability models for selecting ambulance station and vehicle locations. Technical report.
Erkut, E., Ingolfsson, A., Sim, T., & Erdoğan, G. (2009). Computational comparison of five maximal covering models for locating ambulances.Geographical Analysis, 41(1), 43-65.
Fiacco, A. V., & McCormick, G. P. (1990). Nonlinear programming: sequential unconstrained minimization techniques (Vol. 4). Siam.
Guha-Sapir, D., Vos, F., Below, R., & Penserre, S. (2012). Annual disaster statistical review 2011: the numbers and trends (No. CRED/IRSS). UCL.
Hogan, K., & ReVelle, C. (1986). Concepts and applications of backup coverage. Management Science, 32(11), 1434-1444.
Hashzemi, S., Shokri, A., Amin Naseri, M. R., & Akbaripour, H. (2014). Designing an expert system for management of crowding and overcrowding in emergency departments. Journal of Industrial Engineering. 48(2) 281-292.
Hale, T., & Moberg, C. R. (2005). Improving supply chain disaster preparedness: A decision process for secure site location. International Journal of Physical Distribution & Logistics Management, 35(3), 195-207.
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), 1-24.
Karasakal, O., & Karasakal, E. K. (2004). A maximal covering location model in the presence of partial coverage. Computers & Operations Research, 31(9), 1515-1526.
Liberatore, F., Ortuño, M. T., Tirado, G., Vitoriano, B., & Scaparra, M. P. (2014). A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics. Computers & Operations Research, 42, 3-13.
Lin, Y. H., Batta, R., Rogerson, P. A., Blatt, A., & Flanigan, M. (2009). A logistics model for delivery of critical items in a disaster relief operation: heuristic approaches. Recuperado em, 14.
Matsutomi, T., & Ishii, H. (1992, March). An emergency service facility location problem with fuzzy objective and constraint. In Fuzzy Systems, 1992., IEEE International Conference on (pp. 315-322). IEEE.
Mete, H. O., & Zabinsky, Z. B. (2007). Preparing for disasters: medical supply location and distribution. In Proceedings of the INFORMS conference, Seattle, WA.
Ke, H., & Liu, B. (2007). Project scheduling problem with mixed uncertainty of randomness and fuzziness. European Journal of Operational Research,183(1), 135-147.
Moeini, M., Jemai, Z., & Sahin, E. (2015). Location and relocation problems in the context of the emergency medical service systems: a case study.Central European Journal of Operations Research, 23(3), 641-658.
Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations research, 43(2), 264-281.
Overstreet, R. E., Hall, D., Hanna, J. B., & Kelly Rainer Jr, R. (2011). Research in humanitarian logistics. Journal of Humanitarian Logistics and Supply Chain Management, 1(2), 114-131.
Özdamar, L., Ekinci, E., & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of operations research, 129(1-4), 217-245.
Pirkul, H., & Schilling, D. A. (1988). The siting of emergency service facilities with workload capacities and backup service. Management Science, 34(7), 896-908.
Paul, J. A., & Batta, R. (2008). Models for hospital location and capacity allocation for an area prone to natural disasters. International Journal of Operational Research, 3(5), 473-496.
ReVelle, C. (1989). Review, extension and prediction in emergency service siting models. European Journal of Operational Research, 40(1), 58-69.
Ratick, S., Meacham, B., & Aoyama, Y. (2008). Locating backup facilities to enhance supply chain disaster resilience. Growth and Change, 39(4), 642-666.
Rawls, C. G., & Turnquist, M. A. (2010). Pre-positioning of emergency supplies for disaster response. Transportation research part B: Methodological, 44(4), 521-534.
Rajagopalan, H. K., Vergara, F. E., Saydam, C., & Xiao, J. (2007). Developing effective meta-heuristics for a probabilistic location model via experimental design. European Journal of Operational Research, 177(1), 83-101.
Rahmaniani, R., & Shafia, M. A. (2013). A study on maximum covering transportation network design with facility location under uncertainty. Journal of Industrial and Production Engineering, 30(2), 78-93.
Swiss, R. (2015). Natural catastrophes and man-made disasters in 2014: convective and winter storms generate most losses. Sigma, (2).
Ukkusuri, S., & Yushimito, W. (2008). Location routing approach for the humanitarian prepositioning problem. Transportation Research Record: Journal of the Transportation Research Board, (2089), 18-25.
Schilling, D., Elzinga, D. J., Cohon, J., Church, R., & ReVelle, C. (1979). The TEAM/FLEET models for simultaneous facility and equipment siting.Transportation Science, 13(2), 163-175.
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.
Swoveland, C., Uyeno, D., Vertinsky, I., & Vickson, R. (1973). Ambulance location: a probabilistic enumeration approach. Management Science, 20(4-part-ii), 686-698.
Serra, D., & Marianov, V. (1996). The location of emergency services in changing network: the case of Barcelona. In Seventh International Symposium on Locational Decisions, Edmonton, Canada.
Shen, Z. J. M., Pannala, J., Rai, R., & Tsoi, T. S. (2008). Modeling transportation networks during disruptions and emergency evacuations. University of California Transportation Center.
Vitoriano, B., Ortuño, M. T., Tirado, G., & Montero, J. (2011). A multi-criteria optimization model for humanitarian aid distribution. Journal of Global Optimization, 51(2), 189-208.
Zitzler, E., Deb, K., & Thiele, L. (2000). Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary computation, 8(2), 173-195.
Ben-Tal, A., Do Chung, B., Mandala, S. R., & 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.
Balcik, B., & Beamon, B. M. (2008). Facility location in humanitarian relief.International Journal of Logistics, 11(2), 101-121.
Berlin, G. N., & Liebman, J. C. (1974). Mathematical analysis of emergency ambulance location. Socio-Economic Planning Sciences, 8(6), 323-328.
Ball, M. O., & Lin, F. L. (1993). A reliability model applied to emergency service vehicle location. Operations research, 41(1), 18-36.
Berman, O., Drezner, Z., & Wesolowsky, G. O. (2007). The transfer point location problem. European journal of operational research, 179(3), 978-989.
Balcik, B., Beamon, B. M., & Smilowitz, K. (2008). Last mile distribution in humanitarian relief. Journal of Intelligent Transportation Systems, 12(2), 51-63.
Campos, V., Bandeira, R., & Bandeira, A. (2012). A method for evacuation route planning in disaster situations. Procedia-Social and Behavioral Sciences, 54, 503-512.
Campbell, A. M., Vandenbussche, D., & Hermann, W. (2008). Routing for relief efforts. Transportation Science, 42(2), 127-145.
Liou, C. D. (2015). Markovian queue optimisation analysis with an unreliable server subject to working breakdowns and impatient customers. International Journal of Systems Science, 46(12), 2165-2182.
Daskin, M. S. (1983). A maximum expected covering location model: formulation, properties and heuristic solution. Transportation Science, 17(1), 48-70.
Davis, L. B., Samanlioglu, F., Qu, X., & Root, S. (2013). Inventory planning and coordination in disaster relief efforts. International Journal of Production Economics, 141(2), 561-573.
Doerner, K. F., Gutjahr, W. J., & Nolz, P. C. (2009). Multi-criteria location planning for public facilities in tsunami-prone coastal areas. Or Spectrum,31(3), 651-678.
Drezner, T. (2007). Casualty collection points: number and population covered. In Proceedings of the southwest Decision Sciences Institute 38th annual meeting (pp. 426-433).
Edrissi, A., Poorzahedy, H., Nassiri, H., & Nourinejad, M. (2013). A multi-agent optimization formulation of earthquake disaster prevention and management. European Journal of Operational Research, 229(1), 261-275.
Erkut, E., Ingolfsson, A., & Budge, S. (2007). Maximum availability models for selecting ambulance station and vehicle locations. Technical report.
Erkut, E., Ingolfsson, A., Sim, T., & Erdoğan, G. (2009). Computational comparison of five maximal covering models for locating ambulances.Geographical Analysis, 41(1), 43-65.
Fiacco, A. V., & McCormick, G. P. (1990). Nonlinear programming: sequential unconstrained minimization techniques (Vol. 4). Siam.
Guha-Sapir, D., Vos, F., Below, R., & Penserre, S. (2012). Annual disaster statistical review 2011: the numbers and trends (No. CRED/IRSS). UCL.
Hogan, K., & ReVelle, C. (1986). Concepts and applications of backup coverage. Management Science, 32(11), 1434-1444.
Hashzemi, S., Shokri, A., Amin Naseri, M. R., & Akbaripour, H. (2014). Designing an expert system for management of crowding and overcrowding in emergency departments. Journal of Industrial Engineering. 48(2) 281-292.
Hale, T., & Moberg, C. R. (2005). Improving supply chain disaster preparedness: A decision process for secure site location. International Journal of Physical Distribution & Logistics Management, 35(3), 195-207.
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), 1-24.
Karasakal, O., & Karasakal, E. K. (2004). A maximal covering location model in the presence of partial coverage. Computers & Operations Research, 31(9), 1515-1526.
Liberatore, F., Ortuño, M. T., Tirado, G., Vitoriano, B., & Scaparra, M. P. (2014). A hierarchical compromise model for the joint optimization of recovery operations and distribution of emergency goods in Humanitarian Logistics. Computers & Operations Research, 42, 3-13.
Lin, Y. H., Batta, R., Rogerson, P. A., Blatt, A., & Flanigan, M. (2009). A logistics model for delivery of critical items in a disaster relief operation: heuristic approaches. Recuperado em, 14.
Matsutomi, T., & Ishii, H. (1992, March). An emergency service facility location problem with fuzzy objective and constraint. In Fuzzy Systems, 1992., IEEE International Conference on (pp. 315-322). IEEE.
Mete, H. O., & Zabinsky, Z. B. (2007). Preparing for disasters: medical supply location and distribution. In Proceedings of the INFORMS conference, Seattle, WA.
Ke, H., & Liu, B. (2007). Project scheduling problem with mixed uncertainty of randomness and fuzziness. European Journal of Operational Research,183(1), 135-147.
Moeini, M., Jemai, Z., & Sahin, E. (2015). Location and relocation problems in the context of the emergency medical service systems: a case study.Central European Journal of Operations Research, 23(3), 641-658.
Mulvey, J. M., Vanderbei, R. J., & Zenios, S. A. (1995). Robust optimization of large-scale systems. Operations research, 43(2), 264-281.
Overstreet, R. E., Hall, D., Hanna, J. B., & Kelly Rainer Jr, R. (2011). Research in humanitarian logistics. Journal of Humanitarian Logistics and Supply Chain Management, 1(2), 114-131.
Özdamar, L., Ekinci, E., & Küçükyazici, B. (2004). Emergency logistics planning in natural disasters. Annals of operations research, 129(1-4), 217-245.
Pirkul, H., & Schilling, D. A. (1988). The siting of emergency service facilities with workload capacities and backup service. Management Science, 34(7), 896-908.
Paul, J. A., & Batta, R. (2008). Models for hospital location and capacity allocation for an area prone to natural disasters. International Journal of Operational Research, 3(5), 473-496.
ReVelle, C. (1989). Review, extension and prediction in emergency service siting models. European Journal of Operational Research, 40(1), 58-69.
Ratick, S., Meacham, B., & Aoyama, Y. (2008). Locating backup facilities to enhance supply chain disaster resilience. Growth and Change, 39(4), 642-666.
Rawls, C. G., & Turnquist, M. A. (2010). Pre-positioning of emergency supplies for disaster response. Transportation research part B: Methodological, 44(4), 521-534.
Rajagopalan, H. K., Vergara, F. E., Saydam, C., & Xiao, J. (2007). Developing effective meta-heuristics for a probabilistic location model via experimental design. European Journal of Operational Research, 177(1), 83-101.
Rahmaniani, R., & Shafia, M. A. (2013). A study on maximum covering transportation network design with facility location under uncertainty. Journal of Industrial and Production Engineering, 30(2), 78-93.
Swiss, R. (2015). Natural catastrophes and man-made disasters in 2014: convective and winter storms generate most losses. Sigma, (2).
Ukkusuri, S., & Yushimito, W. (2008). Location routing approach for the humanitarian prepositioning problem. Transportation Research Record: Journal of the Transportation Research Board, (2089), 18-25.
Schilling, D., Elzinga, D. J., Cohon, J., Church, R., & ReVelle, C. (1979). The TEAM/FLEET models for simultaneous facility and equipment siting.Transportation Science, 13(2), 163-175.
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.
Swoveland, C., Uyeno, D., Vertinsky, I., & Vickson, R. (1973). Ambulance location: a probabilistic enumeration approach. Management Science, 20(4-part-ii), 686-698.
Serra, D., & Marianov, V. (1996). The location of emergency services in changing network: the case of Barcelona. In Seventh International Symposium on Locational Decisions, Edmonton, Canada.
Shen, Z. J. M., Pannala, J., Rai, R., & Tsoi, T. S. (2008). Modeling transportation networks during disruptions and emergency evacuations. University of California Transportation Center.
Vitoriano, B., Ortuño, M. T., Tirado, G., & Montero, J. (2011). A multi-criteria optimization model for humanitarian aid distribution. Journal of Global Optimization, 51(2), 189-208.
Zitzler, E., Deb, K., & Thiele, L. (2000). Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary computation, 8(2), 173-195.