Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

A Systematic Modelling Procedure to Design Agent-Oriented Control to Coalition of Capabilities - In the Context of I4.0 as Virtual Assets (AAS)

Version 1 : Received: 30 October 2021 / Approved: 3 November 2021 / Online: 3 November 2021 (14:11:28 CET)
Version 2 : Received: 17 November 2021 / Approved: 18 November 2021 / Online: 18 November 2021 (14:26:42 CET)

A peer-reviewed article of this Preprint also exists.

Veiga, J.T.; Pessoa, M.A.O.; Junqueira, F.; Miyagi, P.E.; dos Santos Filho, D.J. A Systematic Modelling Procedure to Design Agent-Oriented Control to Coalition of Capabilities—In the Context of I4.0 as Virtual Assets (AAS). Computers 2021, 10, 161. Veiga, J.T.; Pessoa, M.A.O.; Junqueira, F.; Miyagi, P.E.; dos Santos Filho, D.J. A Systematic Modelling Procedure to Design Agent-Oriented Control to Coalition of Capabilities—In the Context of I4.0 as Virtual Assets (AAS). Computers 2021, 10, 161.

Abstract

Manufacturing systems need to meet I4.0 guidelines to deal with uncertainty in scenarios of turbulent demand for products. The engineering concepts to define the service’s resources to manufacture the products will be more flexible, ensuring the possibility of re-planning in operation. These can follow the engineering paradigm based on capabilities. The virtualization of industry components and assets achieves the RAMI 4.0 guidelines and (I4.0C), which describes the Asset Administration Shell (AAS). However, AAS are passive components that provide information about I4.0 assets. The proposal of specific paradigms is exposed for managing these components, as is the case of multi-agent systems (MAS) that attribute intelligence to objects. The implementation of resource coalitions with evolutionary architectures (EAS) applies cooperation and capabilities’ association. Therefore, this work focuses on designing a method for modeling the asset administration shell (AAS) as virtual elements orchestrating intelligent agents (MAS) that attribute cooperation and negotiation through contracts to coalitions based on the engineering capabilities concept. The systematic method suggested in this work is partitioned for the composition of objects, AAS elements, and activities that guarantee the relationship between entities. Finally, Production Flow Schema (PFS) refinements are applied to generate the final Petri net models (PN) and validate them with Snoopy simulations. The results achieved demonstrate the validation of the procedure, eliminating interlocking and enabling liveliness to integrate elements behavior.

Keywords

RAMI4.0; Asset Administration Shell (AAS); Multi-Agent Systems (MAS); Evolutionary Assembly Systems (EAS); Engineering Capabilities Based, Production Flow Scheme (PFS); Petri Net (PN).

Subject

Engineering, Control and Systems Engineering

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