ABSTRACT
This book chapter delves into the transformative potential of Digital Twins in fostering sustainable industrial development. As industries face increasing pressure to reduce their environmental footprint and embrace eco-friendly practices, the concept of Digital Twins emerges as a promising solution. This chapter explores the key aspects of Digital Twins, including predictive maintenance, resource optimization, process enhancement, and supply chain management. It highlights the significance of leveraging real-time data and advanced analytics to drive energy efficiency, minimize waste, and mitigate emissions. The chapter also addresses the challenges associated with implementing Digital Twins, such as data privacy, cybersecurity, and integration hurdles. By examining the latest innovations and case studies, this chapter offers valuable insights into how Digital Twins can revolutionize the industrial landscape, propelling it toward a more sustainable and responsible future. Additionally, digital twins can be used to monitor the performance of a process in real time and make adjustments as needed. Digital twins are also beneficial in the context of Industry 4.0, which emphasizes the integration of advanced technologies such as Internet of Things, big data, and machine learning in industrial processes. Digital twins can be integrated with these technologies to provide real-time data, enabling companies to make data-driven decisions and improve overall performance.
