Abstract
In this paper we introduce a stochastic interdiction problem for median systems in which the operational state of the system’s disrupted elements in the aftermath of the disruption is uncertain as it is based on the intensity of the disruption. We assume that a disruption disables a facility with a given probability and this probability depends on the intensity of the disruption. The objective of this problem is to identify which disruption scenario entails a maximum overall traveling distance in serving all customers. We show that the initial two stage stochastic formulation can be reformulated into a deterministic counterpart whose size is polynomial in the number of facilities and intensity levels. Then, our ensuing efforts to solve the problem efficiently focus on studying alternative deterministic formulations that allow the solution of realistic size instances of the model. We observe that the most efficient of the deterministic formulations provide great scalability with respect to variations in the input parameters and size of the instances solved. Finally, we analyze the robustness of the optimal solutions due to misestimations in the probability functions that relate disruption intensity levels with the probabilities of facility survivability.
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References
Aksen, D., & Aras, N. (2012). A bilevel fixed charge location model for facilities under imminent attack. Computers & Operations Research, 39, 1364–1381.
Aksen, D., Piyade, N., & Aras, N. (2010). The budget constrained r-interdiction median problem with capacity expansion. Central European Journal of Operations Research, 18, 269–291.
Aksen, D., Aras, N., & Piyade, N. (2011). A bilevel p-median model for the planning and protection of critical facilities. Journal of Heuristics. doi:10.1007/s10732-011-9163-5.
Arroyo, J. M., & Galiana, F. D. (2005). On the solution of the bilevel programming formulation of the terrorist threat problem. IEEE Transactions on Power Systems, 20, 789–797.
Bayrak, H., & Bailey, M. D. (2008). Shortest path network interdiction with asymmetric information. Networks, 52, 133–140.
Berman, O., Drezner, T., Drezner, Z., & Wesolowsky, G. O. (2009). A defensive maximal covering problem on a network. International Transactions in Operational Research, 16, 69–86.
Birge, J. R., & Louveaux, F. (1997). Introduction to stochastic programming. New York: Springer.
Boros, E., Borys, K., Gurvich, V., & Rudolf, G. (2006). Inapproximability bounds for shortest-path network interdiction problems (DIMACS Technical Report 13).
Brooks, A., Bennett, B., & Bankes, B. (1999). An application of exploratory analysis: the weapon mix problem. Military Operations Research, 4, 67–80.
Brown, G., Carlyle, M., Salmeron, J., & Wood, K. (2006). Defending critical infrastructure. Interfaces, 36(6), 530–544.
Brown, G. G., Carlyle, W. M., Harney, R. C., Skroch, E. M., & Wood, R. K. (2009). Interdicting a nuclear-weapons project. Operations Research, 57(4), 866–877.
Cappanera, P., & Scaparra, P. M. (2011). Optimal allocation of protective resources in shortest-path networks. Transportation Science, 45, 64–80.
Carr, R. D., Greenberg, H. J., Hart, W. E., Konjevod, G., Lauer, E., Lin, H., Morrison, T., & Phillips, C. A. (2005). Robust optimization of contaminant sensor placement for community water systems. Mathematical Programming, 107, 337–356.
Church, R. L., & Scaparra, M. P. (2007). Analysis of facility systems’ reliability when subject to attack or a natural disaster. In: Reliability and vulnerability in critical infrastructure: a quantitative geographic perspective. Berlin: Springer.
Church, R. L., Scaparra, M. P., & Middleton, R. S. (2004). Identifying critical infrastructure: the median and covering facility interdiction problems. Annals of the Association of the American Geographers, 94(3), 491–502.
Cormican, K. J., Morton, D. P., & Wood, R. K. (1998). Stochastic network interdiction. Operations Research, 46(2), 184–197.
Cui, T., Ouyang, Y., & Shen, Z. M. (2010). Reliable facility location design under the risk of disruptions. Operations Research, 58(4), 998–1011.
Dempe, S. (2002). Foundations of bilevel programming. The Netherlands: Kluwer Academic.
Dimitrov, N. B., Michalopoulos, D. P., Morton, D. P., Nehme, M. V., Pan, F., Popova, E., Schneider, E. A., & Thoreson, G. G. (2011). Network deployment of radiation detectors with physics-based detection probability calculations. Annals of Operations Research, 187(1), 207–228.
Frauendorfer, K. (1992). Lecture notes in economics and mathematical systems: Vol. 392. Stochastic two-stage programming. Berlin: Springer.
Fulkerson, D. R., & Harding, G. C. (1977). Maximizing the minimum source-sink path subject to a budget constraint. Mathematical Programming, 13, 116–118.
Goel, V., & Grossmann, I. E. (2006). A class of stochastic programs with decision dependent uncertainty. Mathematical Programming, 108(2–3), 355–394.
Golden, B. (1978). A problem of network interdiction. Naval Research Logistics Quarterly, 25, 711–713.
Hakimi, S. L. (1964). Optimum location of switching centers and the absolute centers and medians of a graph. Operations Research, 113, 544–559.
Held, H., & Woodruff, D. L. (2005). Heuristics for multi-stage interdiction of stochastic networks. Journal of Heuristics, 11, 483–500.
Held, H., Hemmecke, R., & Woodruff, D. L. (2005). A decomposition algorithm applied to planning the interdiction of stochastic networks. Naval Research Logistics, 52, 321–328.
Hemmecke, R., Schultz, R., & Woodruff, D. L. (2003). Interdiction stochastic networks with binary interdiction effort. In D. L. Woodruff (Ed.), Network interdiction and stochastic integer programming (pp. 69–84). Boston: Kluwer.
Higle, J. L., & Sen, S. (1996). Stochastic decomposition: a statistical method for large scale stochastic linear programming. Norwell: Kluwer Academic.
Holmgren, A. J., Jenelius, E., & Westin, J. (2007). Evaluating strategies for defending electric power networks against antagonistic attacks. IEEE Transactions on Power Systems, 22(1), 76–84.
Israeli, E., & Wood, R. K. (2002). Shortest-path network interdiction. Networks, 40(2), 97–111.
Janjarassuk, U., & Linderoth, J. (2008). Reformulation and sampling to solve a stochastic network interdiction problem. Networks, 52, 120–132.
Kall, P., Ruszczyński, A., & Frauendorfer, K. (1988). Approximation techniques in stochastic programming. In Y. Ermoliev & R. J.-B. Wets (Eds.), Numerical techniques for stochastic optimization, Berlin: Springer.
Khachiyan, I., Boros, E., Borys, K., Elbassioni, K., Gurvich, V., Rudolf, G., & Zhao, J. (2008). On shortest paths interdiction problems: total and node-wise limited interdiction. Theory of Computing Systems, 43, 204–233.
Liberatore, F., & Scaparra, M. P. (2011). Optimizing protection strategies for supply chains: comparing classic decision making criteria in an uncertain environment. Annals of the Association of American Geographers, 101, 1–17.
Liberatore, F., Scaparra, M. P., & Daskin, M. S. (2011). Analysis of facility protection strategies against an uncertain number of attacks: the stochastic r-interdiction median problem with fortification. Computers & Operations Research, 38(1), 357–366.
Liberatore, F., Scaparra, M. P., & Daskin, M. (2012). Optimization methods for hedging against disruptions with ripple effects in location analysis. Omega, 40(1), 21–30.
Lim, C., & Smith, L. C. (2007). Algorithms for discrete and continuous multicommodity flow network interdiction problems. IIE Transactions, 39, 15–26.
Losada, C., Scaparra, M. P., & Church, R. L. (2009). Interdiction of p-median systems with facility recovery time and disruptions frequency: analysis of resiliency (Working Paper No. 220). University of Kent, Kent Business School, Canterbury, Kent, UK.
Losada, C., Scaparra, M. P., & O’Hanley, J. R. (2012). Optimizing system resilience: a facility protection model with recovery time. European Journal of Operational Research, 217, 519–530.
Lulli, G., & Sen, S. (2004). A branch-and-price algorithm for multistage stochastic integer programming with application to stochastic batch-sizing problems. Management Science, 50(6), 786–796.
Lulli, G., Messina, E., Archetti, F., & Lanzeni, S. (2010). A mathematical model for optimal functional disruption of biochemical networks. Journal of Mathematical Modelling and Algorithms, 9(1), 19–37.
Matisziw, T. C., Murray, A. T., & Grubesic, T. H. (2010). Strategic network restoration. Networks and Spatial Economics, 10, 345–361.
McMasters, A., & Mustin, T. M. (1970). Optimal interdiction of a supply network. Naval Research Logistics Quarterly, 17(3), 261–268.
Moore, J. T., & Bard, J. F. (1990). The mixed integer linear bilevel programming problem. Operations Research, 38, 911–921.
Morton, D. P., Pan, F., & Saeger, K. J. (2007). Models for nuclear smuggling interdiction. IIE Transactions, 39, 3–14.
Murray, A. T., & Grubesic, T. H. (2007). Critical infrastructure: reliability and vulnerability. Berlin: Springer.
O’Hanley, J., & Church, R. L. (2011). Designing robust coverage to hedge against worst-case facility losses. European Journal of Operational Research, 209, 23–36.
Pan, F., Charlton, W., & Morton, D. (2003). A stochastic program for interdicting smuggled nuclear material (pp. 1–20). Dordrecht: Kluwer Academic.
Royset, J. O., & Wood, R. K. (2007). Solving the bi-objective maximum-flow network-interdiction problem. INFORMS Journal on Computing, 19(2), 175–184.
Salmeron, J., Wood, R. K., & Baldick, R. (2004). Analysis of electric grid security under terrorist threat. IEEE Transactions on Power Systems, 19(2), 905–912.
Santoso, T., Ahmed, S., Goetschalckx, M., & Shapiro, A. (2005). A stochastic programming approach for supply network design under uncertainty. European Journal of Operational Research, 167, 96–115.
Scaparra, M. P. (2009). Hardening facilities to minimize expected costs given random failures (Working paper, KBS Working Paper No. 185). University of Kent.
Scaparra, M. P., & Church, R. L. (2008a). A bilevel mixed integer program for critical infrastructure protection planning. Computers & Operations Research, 35, 1905–1923.
Scaparra, M. P., & Church, R. L. (2008b). An exact solution approach for the interdiction median problem with fortification. European Journal of Operational Research, 189, 76–92.
Silva, E. F., & Wood, R. K. (2006). Solving a class of stochastic mixed-integer programs with branch and price. Mathematical Programming, 108(2), 395–418.
Singh, K., Philpott, A., & Wood, K. (2005). Column-generation for design of survivable networks (Working Paper). Department of Engineering Science, University of Auckland, Auckland, New Zealand.
Stackelberg, H. (1952). The theory of market economy. London: Oxford University Press.
Van Slyke, R. M., & Wets, R. J. B. (1969). L-shaped programs with applications to optimal control and stochastic linear programming. SIAM Journal on Applied Mathematics, 17, 638–663.
Waters, N. M. (1977). Methodology for servicing the geography of urban fire: an exploration with special reference to London, Ontario. Unpublished Ph.D. thesis. Department of Geography, University of Western Ontario, London, Ontario, Canada.
Wets, R. J.-B. (1974). Stochastic programs with fixed recourse: the equivalent deterministic program. SIAM Review, 16, 309–339.
Whiteman, P. S. (1999). Improving single strike effectiveness for network interdiction. Military Operations Research, 4, 15–30.
Wollmer, R. (1964). Removing arcs from a network. Operations Research, 12(6), 934–940.
Wood, R. K. (1993). Deterministic network interdiction. Mathematical and Computer Modelling, 17(2), 1–18.
Yates, J. T., Batta, R., & Karwan, M. (2011). Optimal placement of sensors and interception resource assessment for the protection of regional infrastructure from covert attack. Journal of Transportation Security, 4, 145–169.
Acknowledgements
This research was supported by the Engineering and Physical Sciences Research Council (EPSRC) Grant EP/E048552/1. This support is gratefully acknowledged.
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Losada, C., Scaparra, M.P., Church, R.L. et al. The stochastic interdiction median problem with disruption intensity levels. Ann Oper Res 201, 345–365 (2012). https://doi.org/10.1007/s10479-012-1170-x
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DOI: https://doi.org/10.1007/s10479-012-1170-x