Scientific and technical developments of the engineering industry are currently underutilized for the innovative development of the economy enterprises. The capabilities of the available technological base and personnel potential allow to significantly increase the profitability of financial and economic activity to the introduction of a new product into the market. At the same time, it is necessary to rely on models, which establish dynamic connection of parameters of state of production and operation spheres with characteristics of consumer cost of products and allow to create on their basis complex procedures of forecasting and optimal planning by selection of best options from among alternatives.
The article discusses the model of the conveyor in an open section including various controls for it, in particular oil injection stations. Based on the analysis of models, it is possible to measure the following parameters: the number of products manufactured for a certain time; the right number of controllers or workers; time calculation for fixing broken systems and others. Also presented is a model of the work of the oil of the injection station and the interface of the model’s work according to statistical data in the context of various parameters - time, orders and material, as well as statistics on the storage of materials. The model allow changing parameters of speed, workers and controllers. The developed system gives the operator the ability to monitor the process of the conveyor, in addition to other levels of control allow predicting breakdowns and analyse the economic side of the simulated processes.
The ability of enterprises to compete in a particular product market depends not only on the totality of economic methods used for conducting business, but also directly on the competitiveness of the product. The article presents ways to improve the competitiveness of agricultural machinery products, which ultimately determines the level of competitiveness of the enterprise as a whole. The article describes the properties of the data envelopment analysis (DEA) method in terms of its effectiveness in assessing the competitiveness of agricultural machinery products, and presents a model for improving competitiveness. Based on the analysis carried out, it is concluded that the DEA method should be used to assess the competitiveness of agricultural engineering enterprises.
The article describes the Data Envelopment Analysis (DEA) method and the main features of its application. The main problems of heat and power systems are described, which are addressed by the DEA method of efficiency assessment presented in the article. The approbation of this method is presented at the objects of the centralized municipal heat supply system of the fuel and energy complex: boiler houses and heat and power plants. 9 objects were analyzed according to four input indicators: available heat capacity, installed heat capacity, heat consumption for own needs, fuel consumption. Also, the efficiency of the system was evaluated according to two output indicators: the release of thermal energy to the grid and the mass of the emission. As a result of the analysis and calculations made, it was revealed that 5 objects have the maximum possible efficiency indicator equal to 1, that is, they function as efficiently as possible. 4 objects of the centralized municipal heat supply system have an efficiency indicator less than 1. Accordingly, improvements are required for the operation of the above Decision-Making Units (DMU)s. These objects have deviations in terms of the inputs and outputs of the actual data and those obtained using the DEA method. Based on the calculations obtained for these 4 objects, the article provides recommendations for changing the quantitative values of their input and output indicators. For example, for object number 2, it is recommended to reduce the installed heat capacity in the grid by 72.57%, without changing the available heat capacity and fuel consumption. Reduce the heat consumption for your own needs by 69.383%. In addition, it is recommended to increase the supply of thermal energy to the grid by 6,034%, and reduce the mass of emission by 11.5%. Specific measures have also been developed to modernize the studied objects in order to achieve the recommended indicators of inputs and outputs. The research results presented in the article are of scientific and practical interest and can be used to improve the efficiency of heat and power systems facilities
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.