Russian Federation
from 01.01.2001 to 01.01.2024 Voronezh, Russian Federation
UDC 658.5
The article addresses the problem of improving the efficiency of in-plant logistics operations through the implementation of an intelligent monitoring and control system for transport flows. A system architecture based on the integration of real-time positioning technologies, a digital twin of the production environment, and adaptive routing algorithms is proposed. A mathematical model of the transport flow has been developed, taking into account the dynamic constraints of the production environment. Simulation modeling was carried out, which confirmed a reduction in cargo transportation time by 23.7% and a decrease in vehicle downtime by 31.4% compared to traditional control methods.
production automation, in-plant logistics, monitoring system, route optimization, digital twin
1. Ganieva, N. M. Logistika proizvodstvennyh processov : uchebnoe posobie / N. M. Ganieva ; federal'noe gosudarstvennoe byudzhetnoe obrazovatel'noe uchrezhdenie vysshego professional'nogo obrazovaniya "Omskiy gosudarstvennyy tehnicheskiy universitet". – Omsk, 2012. – 248 s. – ISBN 978-5-8149-1341-8.
2. Osnovy upravleniya proizvodstvennymi i material'nymi potokami / N. Yu. Sopilko, O. Yu. Myasnikova, I. I. Shatalova, N. S. Scherbakova ; Rossiyskiy universitet druzhby narodov (RUDN). – Moskva, 2019. – 105 s. – ISBN 978-5-209-09106-6.
3. Polubotko, A. A. Proizvodstvennaya logistika v cifrovoy ekonomike / A. A. Polubotko, S. G. Halatyan ; Rostovskiy gosudarstvennyy ekonomicheskiy universitet (RINH). – Rostov-na-Donu, 2025. – 108 s. – ISBN 978-5-7972-3428-9.
