Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://repositsc.nuczu.edu.ua/handle/123456789/21653
Назва: Algorithms for modeling process spending and replenishment of resource grouping technology
Автори: Толок, Ігор
Lienkov, Ye. S.
Ключові слова: complex objects of military equipment
process of expenditure and replenishment of resource
regime of normative planning
Дата публікації: 2019
Видавництво: Військовий інститут Київського національного університету імені Тараса Шевченка
Бібліографічний опис: Збірник наукових праць Військового інституту Київського національного університету імені Тараса Шевченка
Серія/номер: ;64
Короткий огляд (реферат): This article explores the basic initial steps for constructing an enlarged structural diagram of an algorithm for modeling the processes of spending and replenishing resource of a grouping military objects in normative planning mode. The organizations responsible for operating the groupings have an important task of timely planning for repair of weapons and military equipment (WME) and military equipment and supplies to the grouping of new objects. Obviously, solution of such a problem is possible only on the basis of applying a mathematical model process of expenditure and replenishment of resource (PERR) of grouping objects, with which you can predict the composition and resource of the grouping, and taking into account the forecast obtained, find (calculate) optimal plans for replenishing its resource. The article shows the results of studies various groups in terms of elucidating patterns of the occurrence of PERR in them. To do this, using the model, various grouping options can be generated with the specified characteristics, as well as calculating the optimal plans for replenishing resource for a specific group of military equipment (user groups), save these plans in a database, and then make refinement calculations taking into account current changes in grouping. It is assumed that by the time this algorithm is launched, all the necessary data structures have already been created in random access memory of the personal computer, user has already selected an implementation option for the grouping for which simulation is performed. Also, the number of implementations of modeling process and coefficient specifying range of variation limit on the consumption of resource objects (in percent) are given. In each iteration, process of PERR objects the i-th type is simulated at a given forecast interval
URI (Уніфікований ідентифікатор ресурсу): http://repositsc.nuczu.edu.ua/handle/123456789/21653
ISSN: 2524-0056
2519-481X
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