학술논문

DAO-Based Parallel Triplets Application in Parallel Manufacturing and Industries 5.0
Document Type
Periodical
Source
IEEE Journal of Radio Frequency Identification IEEE J. Radio Freq. Identif. Radio Frequency Identification, IEEE Journal of. 8:327-333 2024
Subject
Fields, Waves and Electromagnetics
Communication, Networking and Broadcast Technologies
Signal Processing and Analysis
Production
Real-time systems
Collaboration
Fifth Industrial Revolution
Manufacturing
Aerospace electronics
Decision making
Industry 5.0
CPSS
parallel triplets
parallel manufacturing
DAOs
Language
ISSN
2469-7281
2469-729X
Abstract
In response to the agility demands of Industry 5.0, this study pioneers a laboratory-based prototype of a DAO-powered, cyber-physical-social system (CPSS) employing intelligent collaborative robots for parallel manufacturing and management. We introduce the concept of Parallel Triplets, integrating the microphysical dimension into the existing digital and physical realms of the digital twin, enabling faster prototype realization and simultaneous execution of production tasks. This facilitates a decentralized DAO framework where intelligent agents, guided by parallel triplets data, make real-time production decisions and optimize resource allocation, leading to dynamic, collaborative, and autonomous manufacturing. Our empirical research demonstrates the success of this approach, achieving enhanced production efficiency, reduced defect rates, and empowered worker autonomy. This paper contributes to the advancement of Parallel Triplets technology and showcases the transformative potential of DAOs in driving agile, intelligent, and collaborative manufacturing within Industry 5.0.