A new model for a 72-h post-earthquake emergency logistics location-routing problem under a random fuzzy environment

References

• Bard, J. F. 1991. Some properties of the bilevel programming problem, J. Optim. Theor. Appl., 68, (2), 371–378.10.1007/BF00941574
   Google Scholar
• Bell, M. G. and Iida, Y. 1997. Transportation network analysis, Wiley, Chichester.10.1002/9781118903032
   Google Scholar
• Benson, M., Koenig, K. L. and Schultz, C. H. 1996. Disaster triage: START, then SAVE¡ªa new method of dynamic triage for victims of a catastrophic earthquake, Prehosp. Disaster Med., 11, (02), 117–124.
   Google Scholar
• Bilham, R. 2010. Lessons from the Haiti earthquake, Nature, 463, (7283), 878–879.10.1038/463878a
   Google Scholar
• Boventer, E. 1961. The relationship between transportation costs and location rent in transportation problems, J. Regional Sci., 3, (2), 27–40.10.1111/jors.1961.3.issue-2
   Google Scholar
• Bui, T. X. and Sankaran, S. R. 2001. Design considerations for a virtual information center for humanitarian assistance/disaster relief using workflow modeling, Decis. Support Syst., 31, (2), 165–179.10.1016/S0167-9236(00)00129-9
   Google Scholar
• Caunhye, A. M., Nie, X. and Pokharel, S. 2012. Optimization models in emergency logistics: a literature review, Socio-Econ. Plann. Sci., 46, (1), 4–13.10.1016/j.seps.2011.04.004
   Google Scholar
• Chan, E. Y. 2008. The untold stories of the Sichuan earthquake, Lancet, 372, (9636), 359–362.10.1016/S0140-6736(08)61141-1
   Google Scholar
• Charnes, A. and Cooper, W. W. 1959. Chance-constrained programming, Manage. Sci., 6, (1), 73–79.10.1287/mnsc.6.1.73
   Google Scholar
• Clark, S. and Watling, D. 2005. Modelling network travel time reliability under stochastic demand, Transp. Res. Part B: Methodol., 39, (2), 119–140.10.1016/j.trb.2003.10.006
   Google Scholar
• Cooper, L. 1972. The transportation-location problem, Oper. Res., 20, (1), 94–108.10.1287/opre.20.1.94
   Google Scholar
• Cooper, L. 1976. An efficient heuristic algorithm for the transportation-location problem, J. Regional Sci., 16, (3), 309–315.10.1111/jors.1976.16.issue-3
   Google Scholar
• Coutinho-Rodrigues, J., Tralhäo, L. and Alçada-Almeida, L. 2012. Solving a location-routing problem with a multiobjective approach: the design of urban evacuation plans, J. Transport Geogr., 22, 206–218.10.1016/j.jtrangeo.2012.01.006
   Google Scholar
• Dehghani, M. S., Flintsch, G. W. and McNeil, S. 2013. Roadway network as a degrading system: vulnerability and system level performance. Transp. Lett., 5, (3), 105–114.10.1179/1942786713Z.0000000006
   Google Scholar
• Ellwein, L. B. and Gray, P. 1971. Solving fixed charge location-allocation problems with capacity and configuration constraints, AIIE Trans., 3, (4), 290–298.10.1080/05695557108974818
   Google Scholar
• Gao, J. and Liu, B. 2005. Fuzzy multilevel programming with a hybrid intelligent algorithm, Comput. Math. Appl., 49, (9), 1539–1548.
   Google Scholar
• Gen, M. and Cheng, R. 2000. Genetic algorithms and engineering optimization (Vol. 7). John Wiley and Sons, New York.
   Google Scholar
• Herrera, F. and Herrera-Viedma, E. 2000. Linguistic decision analysis: steps for solving decision problems under linguistic information. Fuzzy Sets Syst., 115, (1), 67–82.10.1016/S0165-0114(99)00024-X
   Google Scholar
• Holland, J. H. 1962. Outline for a logical theory of adaptive systems. J. ACM, 9, (3), 297–314.10.1145/321127.321128
   Google Scholar
• Holland, J. H. 1975. Adaptation in natural and artificial system: an introduction with application to biology, control and artificial intelligence, University of Michigan Press, Ann Arbor.
   Google Scholar
• Iida, Y. 1999. Basic concepts and future directions of road network reliability analysis. J. Adv. Transp., 33, (2), 125–134.10.1002/atr.v33:2
   Google Scholar
• Koski, J. and Silvennoinen, R. 1987. Norm methods and partial weighting in multicriterion optimization of structures. Int. J. Numer. Methods Eng., 24, (6), 1101–1121.10.1002/(ISSN)1097-0207
   Google Scholar
• Li, L. and Tang, S. 2008. An artificial emergency-logistics-planning system for severe disasters, Intell. Syst., IEEE, 23, (4), 86–88.
   Google Scholar
• Li, X., Zhou, Z., Yu, H., Wen, R., Lu, D., Huang, M., Zhou, Y. and Cu, J. 2008. Strong motion observations and recordings from the great Wenchuan Earthquake, Earthquake Eng. Eng. Vib., 7, (3), 235–246.10.1007/s11803-008-0892-x
   Google Scholar
• Liu, B. 2007. Uncertainty theory, Springer, Berlin Heidelberg, 205–234.10.1007/978-3-540-73165-8
   Google Scholar
• Liu, L., Lin, Y. and Wang, S. 2014. Urban design for post-earthquake reconstruction: a case study of Wenchuan County, China, Habitat Int., 41, 290–299.10.1016/j.habitatint.2013.09.001
   Google Scholar
• Maranzana, F. E. 1964. On the location of supply points to minimize transport costs, OR, 15, (3), 261–270.10.2307/3007214
   Google Scholar
• Najafi, M., Eshghi, K. and Dullaert, W. 2013. A multi-objective robust optimization model for logistics planning in the earthquake response phase, Transp. Res. Part E: Logist. Transp. Rev., 49, (1), 217–249.10.1016/j.tre.2012.09.001
   Google Scholar
• Parsons, T., Ji, C. and Kirby, E. 2008. Stress changes from the 2008 Wenchuan earthquake and increased hazard in the Sichuan basin, Nature, 454, (7203), 509–510.10.1038/nature07177
   Google Scholar
• Petak, W. J. 1985. Emergency management: a challenge for public administration, Public Adm. Rev., 45, 3–7.10.2307/3134992
   Google Scholar
• Puri, M. L. and Ralescu, D. A. 1986. Fuzzy random variables, J. Math. Anal. Appl., 114, (2), 409–422.10.1016/0022-247X(86)90093-4
   Google Scholar
• Rath, S. and Gutjahr, W. J. 2014. A math-heuristic for the warehouse location¨Crouting problem in disaster relief, Comput. Oper. Res., 42, 25–39.
   Google Scholar
• Vicente, L., Savard, G. and Júdice, J. 1994. Descent approaches for quadratic bilevel programming, J. Optim. Theor. Appl., 81, (2), 379–399.10.1007/BF02191670
   Google Scholar
• Wang, Z. 2008. A preliminary report on the Great Wenchuan Earthquake, Earthquake Eng. Eng. Vib., 7, (2), 225–234.10.1007/s11803-008-0856-1
   Google Scholar
• Wu, T. H., Low, C. and Bai, J. W. 2002. Heuristic solutions to multi-depot location-routing problems, Comput. Oper. Res., 29, (10), 1393–1415.
   Google Scholar
• Xu, J. and Lu, Y. 2012. Meta-synthesis pattern of post-disaster recovery and reconstruction: based on actual investigation on 2008 Wenchuan earthquake, Nat. Hazards, 60, (2), 199–222.10.1007/s11069-011-0003-6
   Google Scholar
• Xu, X., Wen, X., Han, Z., Chen, G., Li, C., Zheng, W., Zhnag, S., Ren, Z., Xu, C., Tan, X., Wei, Z., Wang, M., Ren, J., He, Z. and Liang, M. 2013. Lushan M S7. 0 earthquake: a blind reserve-fault event, Chin. Sci. Bull., 58, (28–29), 3437–3443.
   Google Scholar
• Xu, J. and Yao, L. 2011. Random-like multiple objective decision making (Vol. 647), Springer Science & Business Media, Berlin Heidelberg.
   Google Scholar
• Yi, W. and Özdamar, L. 2007. A dynamic logistics coordination model for evacuation and support in disaster response activities, Eur. J. Oper. Res., 179, (3), 1177–1193.10.1016/j.ejor.2005.03.077
   Google Scholar
• Zhou, J. and Liu, B. 2003. New stochastic models for capacitated location-allocation problem, Comput. Ind. Eng., 45, (1), 111–125.
   Google Scholar