День: 06.06.2026

DESIGN OF AN INFORMATION AND COMPUTER SYSTEM FOR AUTOMATED CONTROL OVER TRANSPORT FLOWS AT MACHINERY AND INSTRUMENT MANUFACTURING ENTERPRISES

I. Cherepanska et al., “DESIGN OF AN INFORMATION AND COMPUTER SYSTEM FOR AUTOMATED CONTROL OVER TRANSPORT FLOWS AT MACHINERY AND INSTRUMENT MANUFACTURING ENTERPRISES,” Eastern-European Journal of Enterprise Technologies, vol. 3, no. 3, pp. 54–64, 2026, doi: 10.15587/1729-4061.2026.361146.

This study investigates the process of managing transport flows at machine-building and instrument-building enterprises. The task addressed relates to the need for fast and effective information processing and making correct and justified logistics decisions, their automated adjustment in real time throughout the entire production life cycle. To that end, an information and computer system (ICS) has been designed for automated management of transport flows at machine-building and instrument-building enterprises. Its operation is to determine, coordinate, and adjust technological routes for a set of transportation means (TrMs) under an automated mode and in real time when organizing production environment. It is noteworthy that the newly designed ICS covers both internal and external shop logistics levels, ensuring synchronization of territorially distributed elements of flexible production systems of machine-building and instrument-building. Owing to the use of the ant algorithm for task distribution between TrMs and the modified A* algorithm with spatial-temporal graph expansion, the ICS capability to make operational decisions based on the "concept of compromises" has been implemented. The newly designed ICS also demonstrates high performance – preventing deadlocks in 24.9 ms and balancing the TrMs load in 500 ms. In addition, it has been experimentally proven that the total length of technological routes has been reduced by 1.3 times, and the idle runs of TrMs by 2.5 times. It is obvious that route optimization contributes to reducing the carbon footprint, which corresponds to the Sustainable Development Goals by 2030. Also, reducing the labor intensity of work and the intellectual load on the operator has an obvious social effect Copyright