How to cite this paper
Ehsan, E., Makui, A & Shahanaghi, K. (2012). Emergency response network design for hazardous materials transportation with uncertain demand.International Journal of Industrial Engineering Computations , 3(5), 893-906.
Refrences
Berman,O., Krass, D., & Wang, J. (2011). The probabilistic gradual covering location problem on a network with discrete random demand weights. Computers & Operations Research, 38(11), 1493-1500.
Erkut, E., & Gzara, F. (2008). Solving the hazmat transport network design problem. Computers and Operations Research, 35(7), 2234-2247.
Erkut, E. & Alp, O. (2007). Designing a road network for hazardous materials shipments. Computers & Operations Research, 34, 1389–1405.
Kara, B.Y., & Verter,V. (2004). Designing a road network for hazardous materials transportation. Transportation Science, 38(2),188–196.
Ke, H., & Liu, B. (2007). Project scheduling problem with mixed uncertainty of randomness and fuzziness. European Journal of Operational Research, 183(1), 135-147.
Ishii, H. & Lee, Y.L. & Yeh, K.Y. (2007) Fuzzy facility location problem with preference of candidate sites. Fuzzy Sets and Systems, 158(17), 1922-1930.
Javanshir, H., Ebrahimnejad, S., & Nouri, S. (2012). Bi-objective supply chain problem using MOPSO and NSGA-II. International Journal of Industrial Engineering Computations, 3, 681–694.
Liang, R., Gao, K. & Iwamura, K. (2007). Fuzzy random dependent-chance bilevel programming with applications. Lecture Notes in Computer Science, 4492, 257-266.
Liu, B. (2007). Theory and Practice of Uncertain Programming. UTLAB.
Venkata Rao, R., & Patel, V. (2012). An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems. International Journal of Industrial Engineering Computations, 3(4), 535–560.
Yang, L. Ji, X., Gao, Z., & Li, K. (2007). Logistics distribution centers location problem and algorithm under fuzzy environment. Journal of Computational and Applied Mathematics, 208(2), 303-315.
Yang,J. & Xiong,J. & Liu,S. & Yang,C.(2008) Flow capturing location-allocation problem with stochastic demand under hurwicz rule. Fourth International Conference on Natural Computation, 7, 169-173.
Wang, S., & Watada, J. (2010). A hybrid modified PSO approach to VaR-based facility location problems with variable capacity in fuzzy random uncertainty. Information Sciences, 192(1), 3-18.
Wen, M., & Iwamura, K. (2008). Facility location–allocation problem in random fuzzy environment: Using (?,B) -cost minimization model under the Hurewicz criterion. Computers & Mathematics with Applications, 55(4), 704-713.
Sadjadi, S.J., Pourmoayed, R., & Aryanezhad, M.B. (2012). A robust critical path in an environment with hybrid uncertainty. Applied Soft Computing, 12(3), 1087-1100.
Schütz,P. & Stougie,L. & Tomasgard,A. (2008)Stochastic facility location with general long-run costs and convex short-run costs. Computers & Operations Research, Vol. 35, No. 9, pp-2988-3000.
US Department of Transportation(2000). Departmentwide program evaluation of the hazardous materials transportation programs. http://hazmat.dot.gov/hmpe_report.pdf
Erkut, E., & Gzara, F. (2008). Solving the hazmat transport network design problem. Computers and Operations Research, 35(7), 2234-2247.
Erkut, E. & Alp, O. (2007). Designing a road network for hazardous materials shipments. Computers & Operations Research, 34, 1389–1405.
Kara, B.Y., & Verter,V. (2004). Designing a road network for hazardous materials transportation. Transportation Science, 38(2),188–196.
Ke, H., & Liu, B. (2007). Project scheduling problem with mixed uncertainty of randomness and fuzziness. European Journal of Operational Research, 183(1), 135-147.
Ishii, H. & Lee, Y.L. & Yeh, K.Y. (2007) Fuzzy facility location problem with preference of candidate sites. Fuzzy Sets and Systems, 158(17), 1922-1930.
Javanshir, H., Ebrahimnejad, S., & Nouri, S. (2012). Bi-objective supply chain problem using MOPSO and NSGA-II. International Journal of Industrial Engineering Computations, 3, 681–694.
Liang, R., Gao, K. & Iwamura, K. (2007). Fuzzy random dependent-chance bilevel programming with applications. Lecture Notes in Computer Science, 4492, 257-266.
Liu, B. (2007). Theory and Practice of Uncertain Programming. UTLAB.
Venkata Rao, R., & Patel, V. (2012). An elitist teaching-learning-based optimization algorithm for solving complex constrained optimization problems. International Journal of Industrial Engineering Computations, 3(4), 535–560.
Yang, L. Ji, X., Gao, Z., & Li, K. (2007). Logistics distribution centers location problem and algorithm under fuzzy environment. Journal of Computational and Applied Mathematics, 208(2), 303-315.
Yang,J. & Xiong,J. & Liu,S. & Yang,C.(2008) Flow capturing location-allocation problem with stochastic demand under hurwicz rule. Fourth International Conference on Natural Computation, 7, 169-173.
Wang, S., & Watada, J. (2010). A hybrid modified PSO approach to VaR-based facility location problems with variable capacity in fuzzy random uncertainty. Information Sciences, 192(1), 3-18.
Wen, M., & Iwamura, K. (2008). Facility location–allocation problem in random fuzzy environment: Using (?,B) -cost minimization model under the Hurewicz criterion. Computers & Mathematics with Applications, 55(4), 704-713.
Sadjadi, S.J., Pourmoayed, R., & Aryanezhad, M.B. (2012). A robust critical path in an environment with hybrid uncertainty. Applied Soft Computing, 12(3), 1087-1100.
Schütz,P. & Stougie,L. & Tomasgard,A. (2008)Stochastic facility location with general long-run costs and convex short-run costs. Computers & Operations Research, Vol. 35, No. 9, pp-2988-3000.
US Department of Transportation(2000). Departmentwide program evaluation of the hazardous materials transportation programs. http://hazmat.dot.gov/hmpe_report.pdf