Karpenko V. Management models and methods in the distributed logistics system in a context of uncertainty.

The Ph.D. thesis is devoted to the development of management models and methods in distributed systems in a context of uncertainty. The purpose of the work is to develop new and improve existing methods of solving logistics problems. For the first time in the dissertation the fast method of structural and parametric synthesis in the system "producer - distributed network of consumers" is proposed. A model and method for solving the routing problem, which differ in the way of calculating distances, were developed for the first time, which made it possible to get a quick solution to the problem of finding the route. Improved model and method of calculating regression equation coefficients using artificial orthogonalization of the factorial experiment plan; method of solving the problem of high-dimensional regression analysis; technology of constructing a regression equation, which differs in the way of calculating the quality of the approximation; model and method of solving the transport problem with unclear demand; method of calculating the throughput of intermediate centers, which made it possible to improve the accuracy of the solution of the problem; model and method of managing multi-item inventory under combined uncertainty; method of studying Markov systems with many states. The model and method of managing a high-dimensional multi-nomenclature stock, the method of calculating the optimal number of channels in the system of servicing a multitude of geographically distributed customers, were further developed.