Abstract

Manufacturing systems need to meet Industry 4.0 (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.

Highlights

  • The purpose of this paper is to describe a method for modeling Administration Shell (AAS) using concepts of multi-agent systems (MAS) for orchestration and cooperation of resource skills

  • The modeling system proposed in this article demonstrated techniques of decomposition and simplification to share information, and generated complexity due to a large amount of data between AAS components that can be better understood and organized from the systematics based on multi-agent systems (MAS) of the proposal

  • This systematic compared to emerging approaches, demonstrates advantages over applications that use systematic based on services where it is necessary to update the structure internal for composing new templates that adhere new features

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Summary

Objectives

The purpose of this paper is to describe a method for modeling AAS using concepts of multi-agent systems (MAS) for orchestration and cooperation of resource skills

Methods
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