How to cite this paper
Nasiri, M & ShisheGar, S. (2014). Disaster relief routing by considering heterogeneous vehicles and reliability of routes using an MADM approach.Uncertain Supply Chain Management, 2(3), 137-150.
Refrences
Afshar, A., & Haghani, A. (2012). Modeling integrated supply chain logistics in real-time large-scale disaster relief operations. Socio-Economic Planning Sciences Journal, 46, 327-338.
Altay, N., & Green, W.G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175, 475-493.
Barbarosoglu, 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, 118-33.
Baykasoglu, A. (2012). A review and analysis of graph theoretical-matrix permanent: approach to decision making with example applications. Springer Science and business media Dordrecht, 10, 1007-10462.
Bowers, J., Lyons, B., & Mould, G. (2012). Developing a resource allocation model for the Scottish patient transport service. Operations Research for Health Care, 1, 84-94.
Bozorgi-Amiri, A., Jabalameli, M.S., Alinaghian, M., & Heydari, M. (2012). A modified particle swarm optimization for disaster relief logistics under uncertain environment. International Journal of Advanced Manufacturing Technology, 60, 357-371.
Choi, M., & Lee, S.H. (2012). The multiple traveling purchaser problem for maximizing system’s reliability with budget constraints. Expert Systems with Applications, 38, 9848–9853.
Gulczynski, D., Golden, B., & Wasil, E. (2011). The multi-depot split delivery vehicle routing problem: An integer programming-based heuristic, new test problems, and computational results. Computers & Industrial Engineering, 61, 794–804.
Hamedi, M., Haghani, A., & Yang, S. (2012). Reliable Transportation of Humanitarian Supplies in Disaster Response: Model and Heuristic. Procedia- Social and Behavioral Sciences, 54, 1205-1219.
Ho, W., T.S. Ho, G., Ji, P.C.W., & Lau, H. (2008). A hybrid genetic algorithm for the multi-depot vehicle routing problem. Engineering Applications of Artificial Intelligence, 21, 548–557.
Huang, M., Smilowtiz, R., & Balcik, B. (2013). A continuous approximation approach for assessment routing in disaster relief. Transportation Research Part B, 50, 20-41.
Huang, M., Smilowtiz, K., & Backlit, B. (2012). Models for relief routing: Equity, efficiency and efficacy. Transportation Research Part E, 48, 2-18.
Jotshi, A., Gong, Q., & Batta, R. (2009). Dispatching and routing of emergency vehicles in disaster mitigation using data fusion. Socio-Economic Planning Sciences, 43, 1-24.
Knott, R. (1987). The logistics of bulk relief supplies. Disasters, 11, 113-5.
Lee, S. (2012). The role of centrality in ambulance dispatching. Decision Support Systems, 54, 282-291.
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, 132-145.
Mete H, & Zabinsky Z. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126, 76-84.
Miri Lavasani, M.R., Wang, J., Yang, Z., & Finlay, J. (2012). Application of MADM in a fuzzy environment for selecting the best barrier for offshore wells. Expert Systems with Applications, 39, 2466–2478.
?zdamar, L., & Demir, O. (2012). A hierarchical clustering and routing procedure for large scale disaster relief logistics planning. Transportation Research Part E, 28, 591-602.
Rath, S., & Gutjahr, W.J. (2013). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & Operations Research, 42, 25-39.
Sheu, J.B. (2010). Dynamic relief-demand management for emergency logistics operations under large-scale disasters. Transportation Research Part E, 46, 1-17.
Torre, L.E., Dolinskaya, I.S., & Smilowitz, K. (2012). Disaster relief routing: Integrating research and practice. Socio-Economic Planning Sciences Journal, 46, 88-97.
Ukkusuri, S.V., & Yushimito, WF. (2008). Location routing approach for the humanitarian prepositioning problem. Transportation Research Record: Journal of the Transportation Research Board, 2089, 18-25.
Vitoriano, B, Ortuno, T, & Tirado, G. (2009). HADS, a goal programming-based humanitarian aid distribution system. Journal of Multi-Criteria Decision Analysis, 16, 55-64.
Widener, M.J., & Horner, M.W. (2011). A hierarchical approach to modeling hurricane disaster relief goods distribution. Journal of Transport Geography, 19, 821-828.
Wohlgemuth, S., Oloruntoba, R., & Clausen, U. (2012). Dynamic vehicle routing with anticipation in disaster relief. Socio-Economic Planning Sciences, 46, 261-271.
Yi, W., & Kumar, A. (2007). Ant colony optimization for disaster relief operations. Transportation Research Part E, 43, 660-672.
Zhang, J., Li, J., & Liu, Z. (2012). Multiple-resource and multiple-depot emergency response problem considering secondary disasters. Expert Systems with Applications, 39, 11066–11071.
Altay, N., & Green, W.G. (2006). OR/MS research in disaster operations management. European Journal of Operational Research, 175, 475-493.
Barbarosoglu, 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, 118-33.
Baykasoglu, A. (2012). A review and analysis of graph theoretical-matrix permanent: approach to decision making with example applications. Springer Science and business media Dordrecht, 10, 1007-10462.
Bowers, J., Lyons, B., & Mould, G. (2012). Developing a resource allocation model for the Scottish patient transport service. Operations Research for Health Care, 1, 84-94.
Bozorgi-Amiri, A., Jabalameli, M.S., Alinaghian, M., & Heydari, M. (2012). A modified particle swarm optimization for disaster relief logistics under uncertain environment. International Journal of Advanced Manufacturing Technology, 60, 357-371.
Choi, M., & Lee, S.H. (2012). The multiple traveling purchaser problem for maximizing system’s reliability with budget constraints. Expert Systems with Applications, 38, 9848–9853.
Gulczynski, D., Golden, B., & Wasil, E. (2011). The multi-depot split delivery vehicle routing problem: An integer programming-based heuristic, new test problems, and computational results. Computers & Industrial Engineering, 61, 794–804.
Hamedi, M., Haghani, A., & Yang, S. (2012). Reliable Transportation of Humanitarian Supplies in Disaster Response: Model and Heuristic. Procedia- Social and Behavioral Sciences, 54, 1205-1219.
Ho, W., T.S. Ho, G., Ji, P.C.W., & Lau, H. (2008). A hybrid genetic algorithm for the multi-depot vehicle routing problem. Engineering Applications of Artificial Intelligence, 21, 548–557.
Huang, M., Smilowtiz, R., & Balcik, B. (2013). A continuous approximation approach for assessment routing in disaster relief. Transportation Research Part B, 50, 20-41.
Huang, M., Smilowtiz, K., & Backlit, B. (2012). Models for relief routing: Equity, efficiency and efficacy. Transportation Research Part E, 48, 2-18.
Jotshi, A., Gong, Q., & Batta, R. (2009). Dispatching and routing of emergency vehicles in disaster mitigation using data fusion. Socio-Economic Planning Sciences, 43, 1-24.
Knott, R. (1987). The logistics of bulk relief supplies. Disasters, 11, 113-5.
Lee, S. (2012). The role of centrality in ambulance dispatching. Decision Support Systems, 54, 282-291.
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, 132-145.
Mete H, & Zabinsky Z. (2010). Stochastic optimization of medical supply location and distribution in disaster management. International Journal of Production Economics, 126, 76-84.
Miri Lavasani, M.R., Wang, J., Yang, Z., & Finlay, J. (2012). Application of MADM in a fuzzy environment for selecting the best barrier for offshore wells. Expert Systems with Applications, 39, 2466–2478.
?zdamar, L., & Demir, O. (2012). A hierarchical clustering and routing procedure for large scale disaster relief logistics planning. Transportation Research Part E, 28, 591-602.
Rath, S., & Gutjahr, W.J. (2013). A math-heuristic for the warehouse location–routing problem in disaster relief. Computers & Operations Research, 42, 25-39.
Sheu, J.B. (2010). Dynamic relief-demand management for emergency logistics operations under large-scale disasters. Transportation Research Part E, 46, 1-17.
Torre, L.E., Dolinskaya, I.S., & Smilowitz, K. (2012). Disaster relief routing: Integrating research and practice. Socio-Economic Planning Sciences Journal, 46, 88-97.
Ukkusuri, S.V., & Yushimito, WF. (2008). Location routing approach for the humanitarian prepositioning problem. Transportation Research Record: Journal of the Transportation Research Board, 2089, 18-25.
Vitoriano, B, Ortuno, T, & Tirado, G. (2009). HADS, a goal programming-based humanitarian aid distribution system. Journal of Multi-Criteria Decision Analysis, 16, 55-64.
Widener, M.J., & Horner, M.W. (2011). A hierarchical approach to modeling hurricane disaster relief goods distribution. Journal of Transport Geography, 19, 821-828.
Wohlgemuth, S., Oloruntoba, R., & Clausen, U. (2012). Dynamic vehicle routing with anticipation in disaster relief. Socio-Economic Planning Sciences, 46, 261-271.
Yi, W., & Kumar, A. (2007). Ant colony optimization for disaster relief operations. Transportation Research Part E, 43, 660-672.
Zhang, J., Li, J., & Liu, Z. (2012). Multiple-resource and multiple-depot emergency response problem considering secondary disasters. Expert Systems with Applications, 39, 11066–11071.