Abstract
In this chapter, we determine the cause and effect relationship between the networked structure of an organization (the network element of the supply chain network) and its behaviours. The strong analogies, we have earlier established, between the supply chain network and the three-billion-year-old biochemical networks (metabolic networks and protein–protein interaction networks) can explain a number of behaviours that are well known, also in supply chain networks. The determined network structures, patterns and the clarification in synchronicity and asynchrony in the network of an organization enable us to: create adaptive flexibility in our organization, better define the right solutions against external perturbations avoiding the cascading failures in our organization and beyond, and increase its resilience against network perturbations (supply chain disruptions).
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References
Antal, M., Böde, C., & Csermely, P. (2009). Perturbation waves in proteins and protein networks: Application of percolation and game theories in signaling and drug design. Current Protein and Peptide Science, 10(2), 161–172.
Barabási, A.-L. (2002). Linked: The new science of networks. Cambridge, MA: Perseus Publishing.
Bianconi, G., Gulbahce, N., & Motter, A. E. (2008). Local structure of directed networks. The American Physical Society. http://www3.nd.edu/~networks/Publication%20Categories/03%20Journal%20Articles/Complex%20Networks/200803-21_PhysRevLtrs-DirectedNetworks.pdf
Chen, Y.-H., Wang, B.-H., Zhao, L.-C., Zhou, C., & Zhou, T. (2009). Optimal transport on supply-demand networks. http://image.sciencenet.cn/olddata/kexue.com.cn/upload/blog/file/2009/8/200989214547780698.pdf
Csermely, P. (2008). Creative elements: Network-based predictions of active centres in proteins and cellular and social networks. Trends in Biochemical Sciences, 33(12), 569–576.
Csermely, P. (2009). Weak links. The universal key to the stability of networks and complex systems. Berlin, Heidelberg: Springer.
Fekete, I. (1992). A Rendszerelméleten Alapuló Komplex Földtani Térképezés. Geodézia és kartográfia, 44. évfolyam 4. szám, 270–276.
Fekete, I. (2003). Systematisation modeling of communication. In H. H. Diebner & L. Ramsay (Eds.), Hierarchies of communication (pp. 159–170). Karlsruhe: Verlag ZKM.
Fekete, I., & Hartványi, T. (2013). Value chain stabilization with combined quantity-irregularity graphs. In T. Baltacioglu et al. (Eds.), Value chain sustainability through innovation and design (pp. 189–199). Izmir: Izmir University of Economics Publication.
Fekete, I., & Hartványi, T. (2014). Further analogies between biochemical networks and demand-supply networks. Spring Wind 2014 (pp. 53–63). Association of Hungarian Ph.D. and DLA Students, Debrecen
Ghoshal, G., & Barabási, A.-L. (2011). Ranking stability and super-stable nodes in complex networks. Nature Communications. http://www.nature.com/articles/ncomms1396
Kazemian, I., & Aref, S. (2016). Multi-echelon supply chain flexibility enhancement through detecting bottlenecks. Global Journal of Flexible Systems Management, 17(4), 357–372.
Kim, W. C., & Mauborgne, R. (2005). Blue ocean strategy. Boston, MA: Harward Business School Press.
Newmann, M. E. J. (2010). Networks. Oxford: Oxford University Press Inc.
Palotai, R., & Csermely, P. (2009). Network modules help the identification of key transport routes, signaling pathways in cellular and other networks. Annalen der Physik, 18, 822–829.
Smith, J. M., & Szathmáry, E. (1999). The origins of life. Oxford: Oxford University Press.
Snyder, L. V., & Shen, Z.-J. M. (2011). Fundamentals of supply chain theory. Hoboken, NJ: Wiley.
Strogatz, S. (2003). Sync: How order emerges from chaos in the universe, nature and daily life. New York: Hyperion Books.
Supply Chain Council. (2011). Supply chain operations reference (SCOR) model, overview—Version 10.0. http://www.portaldeconhecimentos.org.br/index.php/por/content/download/24758/296095/file/Supply%20Chain%20Operations%20Reference%20(SCOR)%20model.pdf
Vitasek, K. L., Manrodt, K. B., & Kelly, M. (2003). Solving the supply-demand mismatch. Supply Chain Management Review, 58–64.
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István, F., Tamás, H. (2018). Network Science in Logistics: A New Way to Flexible Adaptation. In: Sushil, Singh, T., Kulkarni, A. (eds) Flexibility in Resource Management. Flexible Systems Management. Springer, Singapore. https://doi.org/10.1007/978-981-10-4888-3_4
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