7. The Human-Digital Twin in the Manufacturing Industry: Current Perspectives and a Glimpse of Future

By Elias Montini, DTI- University of Applied Sciences and Arts of Southern Switzerland, Switzerland | Niko Bonomi, DTI- University of Applied Sciences and Arts of Southern Switzerland, Switzerland | Fabio Daniele, DTI- University of Applied Sciences and Arts of Southern Switzerland, Switzerland | Andrea Bettoni, DTI- University of Applied Sciences and Arts of Southern Switzerland, Switzerland | Paolo Pedrazzoli, DTI- University of Applied Sciences and Arts of Southern Switzerland, Switzerland | Emanuele Carpanzano, DTI- University of Applied Sciences and Arts of Southern Switzerland, Switzerland | Paolo Rocco, Politecnico di Milano, Dipartimento di Elettronica, Informazione e Bioingegneria, Italy

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Published: 22 Nov 2021

© 2021 Elias Montini | Niko Bonomi | Fabio Daniele | Andrea Bettoni | Paolo Pedrazzoli | Emanuele Carpanzano | Paolo Rocco

Abstract

The need to comply with shorter product life-cycles, diversified market demands and increased global competitiveness is leading to a dramatic increase in production systems requirements in terms of flexibility and responsiveness. Industry 4.0 and its push for digitalisation are becoming a pervasive reality impacting almost each phase of the company's life cycle, from business strategy and process design to daily operational activities. As a resulting drawback, an increasing burden is put on the workers, who are requested to operate and interact with complex systems, under challenging conditions. Furthermore, decision-making and control systems consider humans as an external and unpredictable element. New technological solutions are arising to address such challenges. Digital Twins can be applied to represent humans in the digital world, including their intents, behaviours, conditions and emotions, providing the ground for human-aware operations and planning. This chapter aims to provide an overview about most recent advancements and results applying digital twins to support the design, the implementation and the operations of human-centric production systems.