In this work we propose several algorithms to solve the reconfiguration problem for linear and hybrid systems. In particular, we consider the decision about the usage of redundant hardware in order to compensate for faults. While this problem can be translated into a constrained model predictive control framework, the computational complexity grows very fast, as the number of possible decisions increases. In this work we propose schemes, that require low computational effort. We discuss the applicability of the methods considering the reconfiguration of the three tank benchmark system.