Closed-Loop Digital Twin for Energy-Efficient Scheduling in Food Manufacturing Systems
Amirkhanova G. Yusubova N. Amirkhanov B. Sakypbekova M. Chen S.
February 2026Multidisciplinary Digital Publishing Institute (MDPI)
Information (Switzerland)
2026#17Issue 2
Food manufacturing faces challenges in balancing efficiency, energy use, and quality. This paper presents a Hybrid Digital Twin Architecture (HDTA). It combines simulation, constraint programming, and Industrial IoT into a closed-loop system. The architecture has three layers: simulation for planning, optimization for scheduling, and an edge layer for control. We validated this using a bakery model with 10 products. The results show a 24.4% reduction in production time and 23% energy savings. Simulation results show complete elimination of quality time-window violations (0.0% vs. 13.3% baseline, p < 0.001). The system achieved a 2.4-month return on investment. This work demonstrates how combining these technologies can improve process industries.
bakery operations , constraint programming , cyber-physical systems , digital twin , edge computing , energy optimization , food manufacturing , industrial IoT , production scheduling
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Department of Artificial Intelligence and Big Data, Al-Farabi Kazakh National University, Almaty, 050040, Kazakhstan
School of Data Science, Fudan University, Shanghai, 200433, China
Department of Artificial Intelligence and Big Data
School of Data Science
10 лет помогаем публиковать статьи Международный издатель
Книга Публикация научной статьи Волощук 2026 Book Publication of a scientific article 2026