Autor: Bakhtadze, N. - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Optimization of the enterprise marketing strategy using the operations research
Autorzy:: Pesikov, E.
Zaikin, O.
Bakhtadze, N.
Powiązania:: https://bibliotekanauki.pl/articles/91415.pdf
Data publikacji:: 2016
Wydawca:: Warszawska Wyższa Szkoła Informatyki
Tematy:: production system
modeling
optimization
operations research
marketing
target segment
sales volume
price of product
Opis:: It is examined an approach to the analytical tools construction of marketing of the enterprise designed to select the optimal assortment, sales volume, market segments and product prices and based on the use of the operations research methods and optimal software systems. Is proposed a model of nonlinear integer programming with variables of continuous and boolean type, which allows to plan production of existing and new products. To analyse the optimization model is proposed using of heuristic algorithm based on iterative increase in products prices and solution of the linear integer programming task by method of Land and Doig at each step of changing prices.
Źródło:: Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki; 2016, 10, 15; 67-77
1896-396X
2082-8349
Pojawia się w:: Zeszyty Naukowe Warszawskiej Wyższej Szkoły Informatyki
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: An approach to coordination of power generating units
Autorzy:: Bakhtadze, N. N.
Yadikin, I. B.
Kulba, V. V.
Lototsky, V. A.
Maximov, E. M.
Powiązania:: https://bibliotekanauki.pl/articles/971038.pdf
Data publikacji:: 2010
Wydawca:: Polska Akademia Nauk. Instytut Badań Systemowych PAN
Tematy:: generating facility identification
knowledge base
associative search models
soft sensors
Opis:: The importance of the problem of power generating facility identification is justified against the background of interconnection of the European and Russian power grids. Intelligent control techniques for power generation facilities are presented. A methodology for estimating the dynamics of participation of the power grid generating facilities in the overall primary frequency regulation in contingency situations is developed based on frequency and generating capacity time series. Process identification algorithms, based on virtual model design using process data archives and knowledge bases, are discussed. Associative search methods are used for identification algorithm development.
Źródło:: Control and Cybernetics; 2010, 39, 1; 305-318
0324-8569
Pojawia się w:: Control and Cybernetics
Dostawca treści:: Biblioteka Nauki

Artykuł

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