A Digital Tool for Capacity Load Optimization in Spatially Distributed Production Systems

Abstract

Improving the efficiency of the use of fixed assets is one of the priority tasks facing modern machine-building enterprises. It is particularly relevant for spatially distributed holding structures that have emerged in the process of reforming the domestic machine-building complex and include enterprises that produce similar products and have similar types of production assets. The purpose of the paper is to develop on the basis of mathematical modeling tools for solving problems of optimization of industrial enterprises’ fixed assets development and use. An approach to optimize the fixed assets load in a spatially distributed production system is proposed. A mathematical model in the form of a linear programming production and transport optimization problem is formulated, which allows one to find optimal production capacity load modes in a wide range of conditions. The optimal regimes of this model are studied. It is shown that in certain cases the capacity use optimization can be the only way to ensure the timely fulfillment of the customers’ orders The use of modern digital technologies that provide dynamic forecasting and optimization of the production capacity allows to achieve a number of improvements, including the production time and cost reduction and the growth in efficiently used production means.