Formation of the Marketing Management System of the Enterprise

The purpose of the article is to study the essence of the marketing management of the enterprise and the formation of its management system in order to ensure the sustainable functioning of the enterprise in the market. It is noted that the successful functioning of the enterprise in the modern market in the conditions of growing competition, the development of technologies depends on the use of marketing tools in activities that will contribute to the development and adaptation of the enterprise to volatile market conditions. Marketing management is considered as an innovative approach to enterprise management, allowing to achieve optimal economic performance and positive social effect at the same time, coordinating the different interests of owners, managers, employees, partners, consumers, and society. The application of an integrated approach to marketing management is substantiated, namely: the need to form a marketing management system in an enterprise with a significant number of interrelated structural components that differ in their goals, act autonomously, while integrating management functions and aiming at achieving a single goal – ensuring the stability of all areas of the enterprise in modern market conditions and transforming consumer needs into enterprise revenues. It is proposed, taking into account the provisions of the general theory of systems and management theory, to consider the marketing management system as a cybernetic system capable of transforming information. It is further noted that the marketing management system of an enterprise is an open system that is subject to the influence of the marketing environment, where the components are macro- and microenvironment. It is proved that the factors of the external (macro-) environment form the impact on marketing programs and on the marketing activities of enterprise, and the factors of the internal (micro) environment determine the marketing activity of the enterprise. Objective tendencies in the development of the marketing environment are defined. The model of the marketing management system as a logical-structural scheme is proposed, on the basis of which the algorithm for optimization and management of marketing activities is provided, where the interrelations and relationships of elements (in accordance with the functions of marketing management) are presented

The study of nearest- and next-nearest-neighbour magnetic interactions in seven tetragonal compounds V(IV) containing linear chains and square lattices

A new crystal chemical method was used to calculate the sign and strength not only of the nearest-neighbor (NN)interactions, but also of the next-nearest-neighbor (NNN) ones in tetragonal compounds Zn2(VO)(PO4)2 (I),(VO)(H2PO4)2 (II), (VO)SiP2O8 (III), (VO)SO4 (IV), (VO)MoO4 (V), Li2(VO)SiO4 (VI) and Li2(VO)GeO4 (VII) with similar sublattices of V4+ ions on the basis of the room-temperature structural data. The reason for difference between respective magnetic interactions characteristics of these compounds was established. It is shown that the characteristic feature of these compounds is a strong dependence of the strength of magnetic interactions and the magnetic moments ordering type on slight displacements of XO4 (X = P, Mo, Si or Ge) groups even without change of the crystal symmetry. In addition to extensively studied square lattice, other specific geometrical configurations of V4+ were discovered. These configurations can result in frustration of magnetic interactions, namely linear chains along the c-axis with competing nearest- and next-to-nearest-neighbor interactions; rectangular (in I) and triangular (in II-VII) lattices with non-equivalent nearest-to-neighbor interactions, which can be also considered as n-leg ladders; one extra square lattice in the ab-plane with longer range interactions. It was concluded that virtually all magnetic interactions in these compounds were frustrated.Comment: 16 pages, 5 figure, 1 table; numerous grammatical change

Syzygy algebras for the Segre embeddings

We describe the syzygy spaces for the Segre embedding $\mathbb{P}(U)\times\mathbb{P}(V)\subset\mathbb{P}(U\otimes V)$ in terms of representations of ${\rm GL}(U)\times {\rm GL}(V)$ and construct the minimal resolutions of the sheaves $\mathscr{O}_{\mathbb{P}(U)\times\mathbb{P}(V)}(a,b)$ in $D(\mathbb{P}(U\otimes V))$ for $a\geqslant-\dim(U)$ and $b\geqslant-\dim(V)$. Also we prove some property of multiplication on syzygy spaces of the Segre embedding.Comment: 17 pages, 11 picture

Adaptive noise cancelling and time–frequency techniques for rail surface defect detection

Adaptive noise cancelling (ANC) is a technique which is very effective to remove additive noises from the contaminated signals. It has been widely used in the fields of telecommunication, radar and sonar signal processing. However it was seldom used for the surveillance and diagnosis of mechanical systems before late of 1990s. As a promising technique it has gradually been exploited for the purpose of condition monitoring and fault diagnosis. Time-frequency analysis is another useful tool for condition monitoring and fault diagnosis purpose as time-frequency analysis can keep both time and frequency information simultaneously. This paper presents an ANC and time-frequency application for railway wheel flat and rail surface defect detection. The experimental results from a scaled roller test rig show that this approach can significantly reduce unwanted interferences and extract the weak signals from strong background noises. The combination of ANC and time-frequency analysis may provide us one of useful tools for condition monitoring and fault diagnosis of railway vehicles

New Method to Calculate the Sign and Relative Strength of Magnetic Interactions in Low-Dimensional Systems on the Basis of Structural Data

The connection of strength of magnetic interactions and type ordering the magnetic moments with crystal chemical characteristics in low-dimensional magnets is investigated. The new method to calculate the sign and relative strength of magnetic interactions in low-dimensional systems on the basis of the structural data is proposed. This method allows to estimate magnetic interactions not only inside low-dimensional fragments but also between them, and also to predict the possibility of the occurrence of magnetic phase transitions and anomalies of the magnetic interactions. Moreover, it can be used for search of low-dimensional magnets among the compounds whose crystal structures are known. The possibilities of the method are illustrated in an example of research of magnetic interactions in familiar low-dimensional magnets SrCu2(BO3)2, CaCuGe2O6, CaV4O9, Cu2Te2O5Cl2, Cu2Te2O5Br2, BaCu2Si2O7, BaCu2Ge2O7, BaCuSi2O6, LiCu2O2, and NaCu2O2.Comment: 18 pages, 8 figures, 2 tables, published versio