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Digital Twin Applications and Cognitive Enterprise Transformation Across Industries - Couverture souple

 
9798260016701: Digital Twin Applications and Cognitive Enterprise Transformation Across Industries

Synopsis

Digital twin technology reshapes how organizations understand, simulate, and optimize their operations by creating data-driven virtual replicas of physical systems, assets, and processes. When combined with the principles of a cognitive enterprise, digital twins transform industries. From manufacturing and healthcare to energy and smart cities, these capabilities enable real-time insights, predictive maintenance, modeling, and autonomous optimization. Organizations can move toward proactive systems, redefining efficiency, innovation, and competitive advantage in a complex digital landscape. Digital Twin Applications and Cognitive Enterprise Transformation Across Industries explores how digital twin technologies, combined with AI-driven cognitive enterprise systems, enable organizations to create real-time, intelligent models of operations. It examines the impact across industries, highlighting their role in efficiency, innovation, predictive capabilities, and digital transformation. This book covers topics such as cognitive science, industrial engineering, and sustainable development, and is a useful resource for business owners, engineers, academicians, researchers, and scientists.

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À propos des auteurs

Zornitsa Yordanova is an Associate Professor of Business Information Systems and Innovation at the University of National and World Economy (UNWE), Sofia, Bulgaria, and guest lecturer at WU Vienna, New Bulgarian University, and CITY College (University of York Europe Campus). Her research focuses on digital transformation, innovation management, open innovation, and process automation. She is PMP® certified and also consults multinational companies on digital transformation initiatives.

Hamed Nozari is a distinguished researcher at University of National and World Economy (UNWE), Sofia, Bulgaria, and innovator in industrial engineering, supply chain optimization, and artificial intelligence applications. Holding a Ph.D. in Industrial Engineering, he has made significant contributions to the fields of multi-objective decision-making, smart supply chains, and digital twin technologies. His research spans various interdisciplinary areas, including predictive maintenance in green supply chains, AI-driven marketing optimization, cybersecurity in smart economies, Digital twin, and autonomous AI for sustainable last-mile delivery.

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