Towards an Understanding of the Relation between Topological Characteristics and Dynamic Behavior in Manufacturing Networks

Complex Networks in Manufacturing and Logistics: A Retrospect

“…Lower connectivity and increased connectivity lead to an increase in WIP. Beber and Becker (2014) extended the scope beyond individual nodes and investigate patterns in the shape of three-node subgraphs, also known as network motifs. Their findings indicate that the motif signature can serve as a "fingerprint" to distinguish different manufacturing networks from each other.…”

“…Applied to material flow systems, it would mean there is no change in material flow level at any time. However, recent studies suggest that the structure of a material flow network changes as a result of events or changing circumstances (e.g., passing a job to the next work station or failure of work stations) over a specific period of time (see, e.g., Beber and Becker 2014;Vrabič et al 2013). Consequently, it might be useful to consider such dynamic processes for specific applications.…”

Complex networks in advanced manufacturing systems

“…It integrates the materials, information, and financial flows between above elements [57]. Investigating the topology of manufacturing systems as complex networks of material flow is an approach, which is put forward recently [58].…”

“…As to the stability and reliability of manufacturing systems, robustness evaluation and measures, characterization and classification [64], as well as cascading failures on dynamic models of complex manufacturing network [65] are analyzed respectively. In order to evaluate a manufacturing system and its dynamic behaviors, a network motif is applied as a similarity indicator to assess the similarity and dissimilarity of manufacturing systems [57]. Moreover, a new approach is introduced to solve the tool-switching problem arising in flexible manufacturing systems [66], and a graph-theoretic, linear-time scheme to detect and resolve deadlocks in flexible manufacturing cells is utilized [67].…”

“…Finding: Known from the above 11 papers (7.3% of selected papers) [57][58][59][60][61][62][63][64][65][66][67] on this topic, these researches are mainly to create a manufacturing systems network model to address the following three issues: (1) how to model a manufacturing system as a network, (2) what dynamic behaviors in such a network are measured, and (3) how to detect and assess these behaviors. It shows that the network modeling of manufacturing systems is feasible and is particularly helpful for analysis of large manufacturing systems.…”