The first approach that is widely used is the graph-based or network approach where system components and relationships are described as networks would be. While the network approach to a system analysis can be strong in its “ability to visualize and perform statistical analysis on the properties of the network and isolate particularly interesting or important system elements or clusters of elements that may be present” (Wick et Al., 2011), this approach can also become quickly overwhelming. For example, Eppinger states that “A boxes-and-arrows depiction of the design process for a car’s suspension, for example, would run to more than 30 pages.” (Eppinger, 2001). This approach allows the study of systems as diagrams, flows, and essential visual representations but also allows the study of a system through network analysis in some systems, through different network indicators such as degree centrality, clustering coefficient, degree, and others (Barabási, 2014). One popular application of this approach is the Program evaluation and review technique (PERT) diagrams, which can be used for example, to visualize a power system restoration (Mota, 2007).The second approach is the matrix-based approach. One can generally represent a network as a matrix using the adjacency matrix of a network, or its co-occurrence matrix, where Aij is equal to 1 if node i and j are connected. One popular application of this approach is the Design Structure Matrix (DSM) where each task or element is laid out in rows and columns, and one can visualize the information and sequential dependencies of the entire project (Eppinger, 2001). Others such as the derived domain mapping matrix (DMM) can combine domains to show interdependencies across domains and synchronize several inter domain dependencies (Danilovic, M., & Browning 2006). This matrix representation is convenient because of the easy “manipulation by the tools of linear algebra” (Weck et Al., 2011) and allows the understanding of the more general characteristics of the engineering system.