Abstract
Manufacturing systems are complex networks of material flow. Complex network theory has been used as a descriptive and empirical research tool for various network types. However, due to the distinct origin of the various investigated networks (e.g., social networks, biological networks, the Internet), it is not clear if there is a meaningful application of network measures in manufacturing systems. This chapter investigates network modeling and network measures in manufacturing systems, and categorizes them according to their type of research.
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References
Albert R, Barabási A-L (2002) Statistical mechanics of complex networks. Rev Mod Phys 74:47–97
Barabási A-L, Albert R (1999) Emergence of Scaling in random networks. Science 286:509–512
Bea FX, Haas J (2005) Strategisches management. UTB, Stuttgart
Becker T (2012) Parallels between manufacturing systems in industrial production and metabolic systems in biological cells: a network based unifying model from a production logistics perspective. Jacobs University Bremen, Bremen
Becker T, Beber ME, Windt K, Hütt M-T, Helbing D (2011) Flow control by periodic devices: a unifying language for the description of traffic, production, and metabolic systems. J Stat Mech Theor Exp 2011:P05004
Becker T, Beber ME, Windt K, Hütt M-T (2012) The impact of network connectivity on performance in production logistic networks. CIRP J Manufact Sci Technol 5:309–318
Becker T, Meyer M, Windt K (2013) A network theory approach for robustness measurement in dynamic manufacturing systems. The annual cambridge international manufacturing symposium, 19–20 Sept 2013
Boccaletti S, Latora V, Moreno Y, Chavez M, Hwang D-U (2006) Complex networks: structure and dynamics. Phys Rep 424:175–308
Braha D, Bar-Yam Y (2006) From centrality to temporary fame: dynamic centrality in complex networks. Complexity 12:59–63
Costa L, Rodrigues F, Travieso G, Boas P (2007) Characterization of complex networks: a survey of measurements. Adv Phys 56:167–242
De Menezes MA, Barabási A-L (2004) Fluctuations in network dynamics. Phys Rev Lett 92:028701
Freeman LC (1977) A set of measures of centrality based upon betweenness. Socicometry 40:35–41
Hammel C, Flemming A, Schulze F, Peters K (2008) Anwendung von Methoden aus der Theorie Komplexer Netzwerke für die Optimierung der Layouts von MFS. In: Subbert S (2008) 4. Fachkolloquium der WGTL an der Universität Chemnitz, WGTL, pp 81–91
Lämmer S, Gehlsen B, Helbing D (2006) Scaling laws in the spatial structure of urban road networks. Phys A: Stat Mech Appl 363:89–95
Meepetchdee Y, Shah N (2007) Logistical network design with robustness and complexity considerations. Int J Phys Distrib Logist Manag 37:201–222
Milo R, Itzkovitz S, Kashtan N, Levitt R, Shen-Orr S, Ayzenshtat I, Sheffer M, Alon U (2004) Superfamilies of evolved and designed networks. Science 303:1538–1542
Mina A, Braha D, Bar-Yam Y (2006) Complex engineered systems: a new paradigm. In: Braha D, Mina A, Bar-Yam Y (2006) Complex engineered systems, Springer, Berlin
Shen-Orr S, Milo R, Mangan S, Alon U (2002) Network motifs in the transcriptional regulation network of Escherichia coli. Nat Genet 31:64–68
Sun H, Wu J (2005) Scale-free characteristics of supply chain distribution networks. Mod Phys Lett B 19:841–848
Vrabič R, Husejnagić D, Butala P (2012) Discovering autonomous structures within complex networks of work systems. CIRP Ann-Manuf Technol 61:423–426
Vrabič R, Škulj G, Butala P (2013) Anomaly detection in shop floor material flow: a network theory approach. CIRP Ann-Manuf Technol 62:487–490
Williams RJ, Berlow EL, Dunne JA, Barabási A-L, Martinez ND (2002) Two degrees of separation in complex food webs. Proc Natl Acad Sci 99:12913–12916
Xuan Q, Du F, Li Y, Wu T-J (2011) A framework to model the topological structure of supply networks. IEEE Trans Autom Sci Eng 8:442–446
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Becker, T. (2016). Application of Topological Network Measures in Manufacturing Systems. In: Kotzab, H., Pannek, J., Thoben, KD. (eds) Dynamics in Logistics. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-23512-7_4
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DOI: https://doi.org/10.1007/978-3-319-23512-7_4
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