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In the article the development of a simulation model of cutting slabs in a continuous casting machine is considered. Simulation modeling is used to optimize the sequence of the melts supplied to the continuous casting machine. The goal of optimization is to reduce the deviation between the estimated and actual numbers of slabs, because such deviations can lead to missed deadlines. The model of cutting slabs has been designed with the use of a models creation module of the metallurgical enterprise information system. The models creation module supports the simulation model creation and multi agent simulation. Agents in the developed model are intended to describe the cutting slabs algorithm used by technologists in the metallurgical production. As a result of experiments with the model the following solution has been found. The following sequence of melts should be supplied to the continuous casting machine: initially the melts from the usual quality steel, followed the melts from the high quality steel.

Intelligent systems of simulation become a key stage of the scheduling of companies and industries work. Most of the existing decision support systems are desktop software. Today there is a need to use durability, flexibility, availability and crossplatforming information technologies. The paper proposes the idea of working cloud based decision support system BPsim.Web and this one consists of some set of services and tools. The model of the multiagent resources conversion process is considered. The process of the simulation model developing via BPsim.Web is described. An example of the real process model is given.

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The paper discusses a steelmaking process and its optimisation using simulation. The optimisation goal is to reduce the total distance travelled by cranes in all spans as well as to reduce the steel waiting time before casting on a continuous casting machine. Models of the process under study have been developed in the AnyLogic simulation software and the modelling subsystem of the metallurgical enterprise automated system. A comparative analysis of the simulation results has been conducted. All results are feasible in terms of meeting the technological constraint on the steel downtime in front of the continuous casting machine for no more than 15 minutes. When comparing two collision avoiding cranes moving models, a choice has been made in favour of a model that provides cranes movement to the nearest steel processing aggregate. Using this model allows to reduce the total path travelled by cranes by 6%. The results of using different modelling systems are consistent.