Open AccessMulti-Agent Systems to Realize Intelligent Asset Administration Shells
Author(s) -
Lucas Sakurada,
Paulo Leitão,
Fernando De la Prieta,
Juan M. Corchado
Publication year - 2022
Language(s) - English
Resource type - Conference proceedings
DOI - 10.14201/0aq03114358
Subject(s) - industry 4.0 , asset (computer security) , computer science , cyber physical system , context (archaeology) , digital transformation , system lifecycle , systems engineering , analytics , software engineering , architecture , manufacturing engineering , knowledge management , engineering management , data science , engineering , computer security , embedded system , world wide web , application lifecycle management , art , paleontology , software , programming language , visual arts , biology , operating system
The digital transformation driven by the fourth industrial revolution is promoting the transition of traditional manufacturing systems towards flexible, reconfigurable and intelligent factories based on Cyber- Physical Systems (CPS), bringing new opportunities and innovative solutions for modern manufacturing systems. However, this condition imposes complex planning across the production chain and lifecycle of the industry. In this context, the Reference Architecture Model Industrie 4.0 (RAMI4.0) provides guidelines to develop Industry 4.0 (I4.0) compliant solutions based on industrial standards. As the main specification of RAMI4.0, the Asset Administration Shell (AAS) is a standardized digital representation of an asset that represents an object of value for the industry. This paper discusses how Multi-Agent Systems (MAS) technology can be used to realize the AAS, mapping their inherits characteristics into AAS functionalities and also extending them, introducing intelligence and data analytics capabilities.