Scientific Journal of KubSAU

Sustainability of enterprises plays an important role in the economic and social life of all industrially developed countries. Despite numerous publications devoted to the analysis of the sustainability of organizations, there are still ambiguous approaches to the methods of analysis for different authors. In addition, for companies of different industries, forms of ownership, geographically located in different regions of the border, the methods and indicators for assessing sustainability can vary considerably. In this connection, there is a need to develop a decision support system that would allow the most efficient assessment of the sustainability of the largest possible range of enterprises, with the possibility of adjusting and flexibly tuning as many parameters as possible. The article describes the architecture and algorithm of the DSS, which implements the following model of initial data generation in its functional; Model of formation of a tree-like structure of groups of indicators on the basis of which the stability is assessed; Model for specifying the fuzzy sets belonging to the recommended values of the indicators; Model for calculating the values of groups of indicators and their fuzzy estimates; The model of graphical interpretation of the organization's sustainability assessment. The developed system was tested on the basis of the company called Antey LLC

The article describes the structure, the algorithm, and the example of using the automated system of work with clients. This system makes it possible to generate documents of almost any kind based on predetermined templates and tags. The article considers the technology to solve this problem, it has proposed the structure of the source data for developing system, the set of its automated functions, criteria and restrictions; it determines the algorithms for constructing the system of work with clients and their software implementation. In addition, we have presented the results of the work of the program and the analysis for the “Kairos” Ltd

This article describes the opportunities and prospects for the deployment of decision support system for the adequacy of the level of lending to small agricultural enterprises in the cloud environment. It reveals the shortcomings in the existing automation of small businesses, and therefore the necessity of developing a system to enable managers to quickly and correctly calculate the amount of required loan funds. The developed system has the ability to work remotely due to the lack of binding the user to a specific personal computer. It is implemented through the development of a DSS using cloud computing, in which computer resources are provided to the Internet users in the form of "online service". The article describes the architecture of popular models and cloud Webapplications; after that, it was concluded to use the Saas model with Multi-Tenant-mode support in the model development. The study provides an overview of the DSS functioning in the cloud. It has noted the main features of the software implementation of the system relating to the use of cloud technologies. We have calculated the cost of placing an application in the cloud via the online cost calculator called Microsoft Azure. We have also performed a preliminary assessment of the payback period of the project implementation of DSS. It is concluded, that this technology would be competitive at the software market

The article presents the architecture of decision support system for the adequacy of the level of lending to small agricultural companies, which implements in its functionality the complex of models: the optimization of selling price of products, the efficiency mark for using of credit funds of single-product and multi-product companies by determined and fuzzy methods, assessment of the system stability of the enterprise. The system has the ability to work remotely using cloud computing, in which computing resources provided by the Internet users in the form of "online service". The article substantiates the need for the development of decision support systems for the adequacy of the level of lending to small agricultural enterprises. We have compiled requirements for the development of an appropriate system and identified a set of models to be implemented in the DSS , described the relationship between them and the technique of working with them. We have also defined names of the input and output data at various stages of working with the DSS as well as the generalized algorithm of the system. Based on the above, the article proposes and describes the architecture of decision support system. It is concluded, that the DSS is an interactive automated system that uses a model of decision-making, providing users with efficient access to data and provides them with a variety of opportunities to display information

The article describes the structure, the algorithm and the example of using of an automated subsystem for advertising campaign budget planning. This subsystem enables automated distribution of funds allocated for the advertising budget, by types and items of promotional activities, taking into account the effectiveness of a particular kind of advertising, as well as the seasonal changes on individual expenses items. The article substantiates the relevance and the need for the development and testing of the subsystem described by the example of "Kairos" Ltd

The article describes the structure and the example of using automated subsystems, which can be used in telecommunication companies for the most efficient process of automation of office staff related to budget planning, which includes monitoring and planning of incomes, earned whereby customers of various branches and segments. After analyzing the business processes of the research object - groups of operational planning of the Stavropol branch, as well as the evaluation of existing approaches to solving the problem of income planning, it was concluded that it’s necessary to develop an automated subsystem. According to the instructions of the corporate center, while planning the budget, the staff must use a technique of planning and control of budget revenues, implying a partition total planned revenue for each branch income from different segments, followed by separation of each group income by services and articles, as well as a formulation of the work plans for managers who deals with large and small customers. The results can also be used to make recommendations on the formulation of individual plans for sale-managers, on further areas of cooperation with customers, the MRB and the CC based on the analysis and evaluation of divisions of the organization’s KPI