During the study of technological data of the process of liquid iron transportation, it was found that the number of locomotives and mixers depending on the duration of operations and especially on the inter-operational downtime does not always ensure normal rhythm of the main production. It leads to significant production losses, therefore, the work of the producing and transport complex is not effective enough. The authors have developed a simulation model of a logistics system for transporting liquid iron at a metallurgical plant. The study and construction of the model was performed using AnyLogic. Real data from production, namely the schedule of blast furnace smelting for a three-week period, was used as the initial data. To prove adequacy of the model, the results were compared with the actual tact of the mixers movement, as well as with the theoretical need of the converter shop. Values of the liquid iron weight delivered to the converter shop were obtained during the simulation and were related to the theoretical ones. Efficiency of the model is achieved by automatically collecting in real time of statistical values of the parameters of simulation objects. The system analyzes the collected data and makes decisions based on them for a short period of time (less than one second). In default operation mode of the simulation model, motion of the mixers is controlled automatically without participation of the dispatcher, which improves efficiency, as well as decision-making speed. Such model provides simulation of failures in operation of the converter shop. According to the simulation results, it can be concluded that the system delivers less liquid iron to a converter shop, but retains its rhythm. After resuming the operation of all converters, the tact of transportation reaches the required level.
Smyslova Simulation modeling of logistic system for liquid iron transportation at metallurgical plant
