EPJ Web Conf.
Volume 224, 2019IV International Conference “Modeling of Nonlinear Processes and Systems” (MNPS-2019)
|Number of page(s)||4|
|Section||Mathematical Models in Economics, Social Sciences, Methodology and Management|
|Published online||09 December 2019|
Simulation System of Technological Support of Automated Complex
Moscow State Technological University “STANKIN”, RU-127055, Moscow, Russia
2 Ulyanovsk Institute of Civil Aviation, RU-432071, Ulyanovsk, Russia
3 Mercedes-Benz / Mercedes-Benz Russia AO, RU-125167, Moscow, Russia
4 M.G. Dimitrov / Е-Motion Life, BG-9010, Varna, Bulgaria
* e-mail: firstname.lastname@example.org
Published online: 9 December 2019
Mathematical modeling of technical and technological systems and processes occurring in these systems can be interpreted as multi-step processes of solving managerial problems, where the application of classical methods for obtaining numerical results is possible. In particular, it is practical to apply the theory of dynamic programming based on the use of functional equations and the optimality principle to solve the problem of resource allocation. In the formulation and solution of the dynamic programming problem, the process is divided into stages in time, and at each stage decisions at which the goal is achieved are made. In our case, homogeneous stages are considered, and the use of the optimality principle leads to the fact that a decision made at each stage is the best regarding the entire process.
© The Authors, published by EDP Sciences, 2019
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