Modeling and software implementation of innovative development of the industrial enterprise
The relevance of the study is caused by the creation of a qualitative system of modeling and software for innovative development of the industrial enterprise. The analysis of the main directions of development of the enterprise theory has shown that further innovative development is connected with developing mathematical models which adequately reflect all spheres of production and economic and financial activity of the enterprise. The purpose of work consists in creating a numerical model of innovative development of the industrial enterprise, on the basis of a mathematical model in the form of a vector problem of linear programming. The criteria of this task take into account the focus of each division of activity of the enterprise. The restrictions are labor and material resources, and production capacities of the enterprise. Restrictions are imposed on separate divisions and on the enterprise in general (global restrictions). Developing this direction, the mathematical model of the industrial enterprise of complex structure is constructed in the form of a vector problem of linear programming which is solved in dynamics for several years. The strategic plan created on the basis of vector optimization is focused on innovative development of the industrial enterprise on the basis of extensive and intensive factors of production development. The software for using such models in practice has been developed. For solving the vector problem of linear programming, the methods based on criteria normalization and the principle of guaranteed result are used. The methodology of forecasting the strategic development of the industrial enterprise is developed on the basis of statistical and technological information. The main stages of methodology (software) are presented on a numerical example of corporate management of an industrial enterprise including six divisions. The model formulated the focus of each division and the purpose of firm in general. The optimal volumes of production released by each division have been obtained as a result of the solution. The problem of optimal distribution of global resources of divisions of the enterprise is solved.