Andrea Appolloni
Papers
2
Total Citations
58
H-Index
2
About
Andrea Appolloni is a leading researcher at the intersection of supply chain management, sustainability, and emerging digital technologies. His work primarily focuses on green supply chain management, evolutionary optimization, and the integration of artificial intelligence and digital twins into industrial operations. Appolloni’s most-cited study, “Mobile robots and evolutionary optimization algorithms for green supply chain management in a used-car resale company” (2020, 45 citations), demonstrates his ability to apply computational intelligence to real-world sustainability challenges, showing how autonomous systems can reduce environmental impact while improving efficiency. More recently, his 2025 paper “A digital twin framework for enhancing human–agentic AI–machine collaboration” (13 citations) pioneers a novel approach to human-AI interaction, proposing architectures that enable seamless cooperation between people, autonomous agents, and physical machines. This forward-looking work positions him as a key voice in the future of intelligent manufacturing and logistics. Appolloni’s research is notable for its practical orientation, bridging theoretical optimization with tangible industrial applications, and his growing citation record reflects increasing recognition of his contributions to sustainable and digitally transformed supply chains.
Research Focus
Key Achievements
Top Papers
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