Study of digital twins as the driving force of digital transformation and achieving the goals of sustainable development

The object of research is the use of Digital Twin (DT) technology in the manufacturing sector and its impact on sustainability. The scientific problem addressed is the identification and quantification of the potential advantages and challenges associated with the adoption of DTs at operational, tactical, and strategic levels, particularly in the context of sustainable development. The paper investigates how DTs can redefine the measurement of sustainable development and diversify implementation within manufacturing infrastructure. The study concludes that DTs are a sophisticated technology that enables manufacturers to create precise virtual replicas of physical products or processes. This helps in optimizing resource utilization, reducing energy consumption, and minimizing waste, thereby promoting sustainability. Main DT clusters and common uses highlighted by the authors demonstrate huge impact on energy efficiency, waste management, sustainable design, logistics emissions reduction, water conservation, and stakeholder engagement. It is proved that DTs simulate and analyze complex systems, enabling the evaluation and improvement of sustainability levels. The paper presents promising practical examples of DT’s use, such as optimizing warehouse management in Ukraine, automating robots for increased efficiency, and aiding in the post-war reconstruction of cities with a focus on environmental friendliness and accessible infrastructure. The research specifically focuses on the top five tech giants and their use of DTs to drive sustainability. Additionally, the findings project substantial market growth potential for DTs in multiple sectors, emphasizing the urgent need for industries to integrate DTs into their sustainability strategies.