Abstract Based on the classic uncapacitated fixed charge model, and considering simultaneously the system operation cost and reliability, this paper proposed a nonlinear mixed integer programming model taking into account the failure probability and the customer multilevel redistribution. The linear processing model was solved by using the optimized Lagrangian relaxation algorithm. The data case shows that Lagrangian relaxation algorithm is more effective for midsize network location problem, and relative to multi-level reassignment of customers, the failure probability of facilities has more influence on it.
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