A Multi-district Asset Protection Problem with Time Windows for Disaster Management

Authors

Department of Industrial Engineering, Shahed University, Teheran, Iran

Abstract

One of the most important goals of disaster management teams is to protect the assets and infrastructures of the community in the event of accidents such as wildfires and floods. This issue requires appropriate operations of all disaster management teams and analysis of available information for suitable decision making and consequently timely response. A mixed integer mathematical model is presented and solved for allocating resources to different districts to protect more assets in an available time. The proposed model tries to protect more valuable assets in pre-determined districts with optimized team allocation strategy. Finally, for validating the model, a numerical example is solved with an exact method and the results of various sensitivity analyses have been reported. The computational results indicate the efficiency and applicability of the proposed model in real conditions comparing to existing classic models.

Keywords


1.     Van der Merwe, M., Minas, J. P., Ozlen, M., and Hearne, J. W, "A mixed integer programming approach for asset protection during escaped wildfires", Canadian Journal of Forest Research, vol. 45, No. 4, (2014), 444-451.
2.     McLennan, J., Holgate, A.M., Omodei, M.M. and Wearing, A.J, "Decision making effectiveness in wildfire incident management teams", Journal of Contingencies and Crisis Management, Vol. 14, No. 1, (2006), 27-37.
3.     Cheraghalipour, A., M. Paydar, and M. Hajiaghaei-Keshteli, "An integrated approach for collection center selection in reverse logistics",International Journal of Engineering, Transactions A: Basics, Vol. 30, No. 7,  (2017), 1005-1016.
4.     Javadian, N., S. Modarres, and A. Bozorgi, "A bi-objective stochastic optimization model for humanitarian relief chain by using evolutionary algorithms", International Journal of Engineering-Transactions A: Basics, Vol. 30, No. 10,  (2017), 1526-1537.
5.     Zarrinpoor, N., Fallahnezhad, M. S., & Pishvaeeb, M. S. "Design of a reliable facility location model for health service networks."International Journal of Engineering-Transactions A: Basics,Vol. 30, No. 1, (2017), 75-84.
6.     Shishebori, D. "Study of facility location-network design problem in presence of facility disruptions: A case study (research note)". International Journal of Engineering-Transactions A: Basics, Vol. 28, No. 1, (2014), 97-108.
7.     Dhingra, V., and Roy, D."Modeling emergency evacuation with time and resource constraints: A case study from Gujarat", Socio-Economic Planning Sciences, Vol. 51, No. 1,  (2015), 23-33.
8.     Pourrahmani, E., Delavar, M. R., Pahlavani, P., and Mostafavi, M. A. "Dynamic evacuation routing plan after an earthquake", Natural Hazards Review, Vol. 16, No. 4, (2015), 04015006.
9.     Gama, M., Santos, B. F., and Scaparra, M. P. "A multi-period shelter location-allocation model with evacuation orders for flood disasters", EURO Journal on Computational Optimization, Vol. 4, No. 3-4, (2016), 299-323.
10.   Krentowski, J. "Disaster of an industrial hall caused by an explosion of wood dust and fire" Engineering Failure Analysis,Vol. 56, No. 1,  (2015), 403-411.
11.   Zhang, Q., Cui, L., Zhang, J., Liu, X., and Tong, Z. "Grid based dynamic risk assessment for grassland fire disaster in Hulunbuir", Stochastic environmental research and risk assessment, Vol. 29, No. 2, (2015),589-598.
12.   Zhao, M., aznd Chen, Q. "Risk-based optimization of emergency rescue facilities locations for large-scale environmental accidents to improve urban public safety", Natural Hazards, Vol. 75, No. 1, (2015), 163-189.
13.   Huang, K., Jiang, Y., Yuan, Y., and Zhao, L. "Modeling multiple humanitarian objectives in emergency response to large-scale disasters", Transportation Research Part E: Logistics and Transportation ReviewVol. 75, No. 1,  (2015),1-17.
14.   Yang, L., Scheffran, J., Qin, H., and You, Q. "Climate-related flood risks and urban responses in the Pearl River Delta, China", Regional Environmental ChangeVol. 15, No. 2, (2015),  379-391.
15.   Van Der Merwe, M., Minas, J., Ozlen, M., and  Hearne, J. "The cooperative orienteering problem with time windows", Optimization Online, (2014). http:/ /www.optimization-online.org/DB_FILE/2014/04/4316.pdf
16.   Roozbeh, I., Ozlen, M., and Hearne, J. W." A heuristic scheme for the Cooperative Team Orienteering Problem with Time Windows",Published Online in arxiv.org, (2014). arXiv preprint arXiv:1608.05485