Optimization of Resource Allocation in the Distributed Production Network

The development of the stochastic approach, based on queuing modelling and simulation, to solve the problem of resource decentralization in the distributed production network (DPN) is examined in the paper. The problem of performance optimisation of DPN is formulated as task of non-linear integer programming with stochastic parameters. A branch and bound algorithm, based on sequential use of queuing modeling and simulation, is designed for optimization of the complete model. The analytical modeling is used for low bound calculation and choice of optimal direction of branching. The simulation is used for verification of analytical results and definition of motion on variant tree.. Proposed approach is oriented towards corporate computer and telecommunication networks, High-Tec assembly manufacturing, printing and publishing industry.