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Supply chain management is more and more affected by the network and dynamic business environment. There are inefficiencies in supply network behaviour. Coordination and cooperation can significantly improve the efficiency of supply networks. There are some approaches to modelling and analysing the supply dynamics. Important features of this environment are presented in the proposed approach. The combination of network structure modelling and simulating the dynamic behaviour of units in supply network can be a powerful instrument for coordination in dynamic supply networks. The AHP (Analytic Hierarchy Process) method is modified with respect to network structures and the dynamics of the analysed systems. The ANP (Analytic Network Process) method is appropriate for setting priorities in network systems where there are different types of dependencies between evaluation criteria and system elements. However, with time-varying environments in network systems, time-dependent priorities play an increasingly important role. Long-term priorities can be based on time-dependent comparisons of criteria and system elements. For short-term prediction, exponential smoothing of compositional data can be used. The paper proposes a hybrid procedure DNAP (Dynamic Analytic Network Process) that combines and enriches advantages and benefits of both approaches by analysing network systems.