For the effective functioning of the industrial enterprises and optimization of the production capacities it is necessary to predict the optimum inventory level of a production line on the basis of logistical approaches and studying the demand for products. Studies were conducted using the example of one industrial enterprise from the Udmurt Republic and there was proposed the inventory control model with the help of exponential smoothing and confidence interval.

Authors propose to use the genetic algorithm as direct optimization method for optimal control of petroleum well mode in case of single-phase flow. In this work, a conventional finite-difference approximation is used to describe the reservoir. The objective was minimization of residual reservoir energy provided that planned cumulative oil production is satisfied.

The principles and functional diagram of the business processes of the transport and logistics system are presented in the article. Based on these, the use of modern information technologies for the design of business processes and their continuous monitoring is justified. The possibilities and areas of application of the computer assisted platform “AnyLogic” are illustrated. An example of designing of a distribution business process for transport using the cloud-based information system “AnyLogic” is shown.

For the effective functioning of scrap processing enterprises and optimization of the production capacities it is necessary to predict the optimal level of production stock based on logistical approaches and studying the demand for products. The paper proposes the model of stock control at scrap processing enterprises. It is considered that scrap processing enterprises are often functioning at the oligopsony market. It has been determined that the scrap market is a typical example of the oligopsony market. In the oligopsony market, enterprises are usually in a state that can be considered a state of equilibrium, when none of the market players is profitable to break this balance. Changes in market prices or price policies should be deliberate and justified. The relation of pricing models and stock control models at enterprises are considered. By regulating its price, the company can significantly and quickly change the number of scrap stocks. It is stated that an enterprise having its pricing system should track the number of scrap stocks. The method of stock controlling at the enterprise by changing its pricing policy is proposed. The model considers the expected value of demand, the price elasticity of supply and demand, storage costs, the stock volume at the warehouse and the specific loss due to unsatisfied demand. The inventory management model is based on modern models of scrap price forecasting, is an optimization model and is based on it proposed the algorithm for the functioning of the computer-aided system of stock control.

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