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• W2741920871 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)." @default.
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• W2741920871 date "2017-08-02" @default.
• W2741920871 modified "2023-09-27" @default.
• W2741920871 title "Network Science in Logistics: A New Way to Flexible Adaptation" @default.
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• W2741920871 doi "https://doi.org/10.1007/978-981-10-4888-3_4" @default.
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