The Migration from Conventional Manufacturing Systems for Multi-Agent Paradigm: the First Step

Peixoto, João Alvarez; Barata, José; Rocha, Andre Dionisio; Pereira, Carlos Eduardo

doi:10.1007/978-3-319-16766-4_12

Cited by 5 publications

(3 citation statements)

References 8 publications

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“…Dynamics-based economics requires enterprises not only to quickly adapt to rapid changes in customers' demands but also to proactively resolve exceptions within manufacturing systems. Traditional integrated manufacturing systems are capable of managing programmable logic controllers and electrical interconnections, control logic, and satisfactory robustness [31]. However, these manufacturing systems cannot meet the demands of diversity and flexibility in production.…”

Section: Self-adaptive Collaboration and Self-organizing Configuramentioning

confidence: 99%

A Framework for Smart Production-Logistics Systems Based on CPS and Industrial IoT

Zhang

Guo

et al. 2018

IEEE Trans. Ind. Inf.

228

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Industrial Internet of Things (IIoT) has received increasing attention from both academia and industry. However, several challenges including excessively long waiting time and a serious waste of energy still exist in the IIoT-based integration between production and logistics in job shops. To address these challenges, a framework depicting the mechanism and methodology of smart production-logistics systems is proposed to implement intelligent modeling of key manufacturing resources and investigate self-organizing configuration mechanisms. A data-driven model based on analytical target cascading is developed to implement the self-organizing configuration. A case study based on a Chinese engine manufacturer is presented to validate the feasibility and evaluate the performance of the proposed framework and the developed method. The results show that the manufacturing time and the energy consumption are reduced and the computing time is reasonable. The presented work potentially enables manufacturers to deploy IIoT-based applications and improve the efficiency of production-logistics systems.

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Section: Self-adaptive Collaboration and Self-organizing Configuramentioning

confidence: 99%

A Framework for Smart Production-Logistics Systems Based on CPS and Industrial IoT

Zhang

Guo

et al. 2018

IEEE Trans. Ind. Inf.

228

View full text Add to dashboard Cite

show abstract

“…This work intends to minimize the gap between emerging manufacturing solutions and intelligent manufacturing concepts by proposing a method to design intelligent control applications adherent to the I4.0 context. The proposal uses the concepts of multi-agent systems (MAS) following paradigms of Evolutionary Assembly Systems (EAS) [9,10]. This concept is related to the control of intelligent entities that impose self-organization, cooperation, and reasoning to fill the need to add intelligence to I4.0C [8].…”

Section: Introductionmentioning

confidence: 99%

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

Veiga¹,

Pessoa²,

Junqueira³

et al. 2021

Preprint

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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.

show abstract

Section: Introductionmentioning

confidence: 99%

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

et al. 2021

View full text Add to dashboard Cite

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.

show abstract

The Migration from Conventional Manufacturing Systems for Multi-Agent Paradigm: the First Step

Cited by 5 publications

References 8 publications

A Framework for Smart Production-Logistics Systems Based on CPS and Industrial IoT

A Framework for Smart Production-Logistics Systems Based on CPS and Industrial IoT

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

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

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