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Original Article | Industrial Engineering | Volume 15 Issue 4, April 2026 | Pages: 1266 - 1269 | Russia
Artificial Intelligence in Digital Twins for Adaptive Production Planning
Abstract: This study examines the role of artificial intelligence (AI) in digital twins for adaptive production planning under volatile manufacturing conditions. The purpose is to develop a conceptual approach that integrates AI into digital twin architectures to improve planning responsiveness and decision quality. The method combines a focused analytical review of recent literature, conceptual system design, and a hypothetical scenario-based validation logic. The proposed architecture integrates real-time data acquisition, system-state modelling, scenario simulation, predictive analytics, and decision support. The analysis shows that AI strengthens digital twins by enabling bottleneck prediction, disruption detection, scenario evaluation, and maintenance-aware planning adjustments. The paper concludes that integrating AI into digital twins supports a shift from static planning to adaptive, data-driven planning with improved responsiveness and system stability.
Keywords: artificial intelligence, digital twin, production system, adaptive planning, smart manufacturing, decision support, Industry 4.0, manufacturing systems
How to Cite?: Dmitrii Voistrochenko, "Artificial Intelligence in Digital Twins for Adaptive Production Planning", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 1266-1269, https://www.ijsr.net/getabstract.php?paperid=SR26416204229, DOI: https://dx.dx.doi.org/10.21275/SR26416204229