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The literature includes a fairly wide number of ideas for modeling and quantifying network durability, e.g. Cimellaro et al. [60], Linkov et al. [59], Sharma et al. [61] and Tamvakis and Xenedis [62]. The proposed models are more commonly aimed at the short-term reflection of the system’s capacity to withstand and rebound from disruptions, without major output loss and without outside assistance, usually, the emphasis on the portrayal of resilience models.

For impact on service delivery of the stated perturbations and on recovery characteristics in relation to service grade recovered against period and overall service failure, see Figure 1.6.

Until recently only the modeling of processes to rebound from disruptions has been granted tacit attention. Neither the functional failure nor rather the production of capability that is critical to the productive, yet quick reorganization, change, yet recovery following disruptions and danger events will take account of processes flexibility providing a life cycle gain in the flexibility model described in Faber and Qin [57]. See Figure 1.6.

Figure 1.6 Quantification of resilience.