The Q-Holon: a quadridimensional holon to design and operate an adaptive and scalable architecture for CPPS

Macherki, Douha; Diallo, Thierno; Choley, Jean-Yves; Guizani, Amir; Barkallah, Maher; Haddar, Mohamed

doi:10.1109/rem49740.2020.9313895

Cited by 7 publications

(5 citation statements)

References 22 publications

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“…Mode of decomposition-two main modes of decomposition exist, functional decomposition and physical decomposition [9], the latter being more suitable for reconfiguration processes [10]; h.…”

Section: Related Workmentioning

confidence: 99%

“…The proposed Q-Holonic-based Architecture (QHAR) considers the physical entities of the production system, the actors of the value chain (e.g., customers, suppliers, subcontractors), and the flows exchanged between entities and actors. To represent these entities, actors, and flows, the Q-Holon is used, which we defined in a previous work [10]. The Q-holon is a generic Holon that can represent any entity or actor, thanks to its four dimensions (physical, cyber, human, and energy).…”

Section: The Q-holonic-based Architecture (Qhar)mentioning

confidence: 99%

“…Two different approaches can be followed to decompose a production system: according to functions (functional decomposition), or according to physical entities (physical decomposition) [9]. The physical decomposition mode was more widely adapted for reconfiguration purposes [10].…”

Section: Introductionmentioning

confidence: 99%

“…In [10], we proposed the Q-Holon, which is capable of representing each of the entities constituting the production system and the actors of the value chain. Using the Q-holon, we can indicate the attributes/properties of the human, physical, cyber, and energy components of an entity/actor, and describe the flows exchanged with other entities and/or actors.…”

Section: Introductionmentioning

confidence: 99%

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QHAR: Q-Holonic-Based ARchitecture for Self-Configuration of Cyber–Physical Production Systems

et al. 2021

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Production systems must be able to adapt to increasingly frequent internal and external changes. Cyber-Physical Production Systems (CPPS), thanks to their potential capacity for self-reconfiguration, can cope with this need for adaptation. To implement the self-reconfiguration functionality in economical and safe conditions, CPPS must have appropriate tools and contextualized information. This information can be organized in the form of an architecture. In this paper, after the analysis of several holonic and nonholonic architectures, we propose a holonic architecture that allows for reliable and efficient reconfiguration. We call this architecture QHAR (Q-Holonic-based ARchitecture). QHAR is constructed based on the idea of a Q-holon, which has four dimensions (physical, cyber, human, and energy) and can exchange three flows (energy, data, and materials). It is a generic Holon that can represent any entity or actor of the supply chain. The QHAR is structured in three levels: centralized control level, decentralized control level, and execution level. QHAR implements the principle of an oligarchical control architecture by deploying both hierarchical and heterarchical control approaches. This ensures the overall system performance and reactivity to hazards. The proposed architecture is tested and validated on a case study.

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“…Mode of decomposition-two main modes of decomposition exist, functional decomposition and physical decomposition [9], the latter being more suitable for reconfiguration processes [10]; h.…”

Section: Related Workmentioning

confidence: 99%

Section: The Q-holonic-based Architecture (Qhar)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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QHAR: Q-Holonic-Based ARchitecture for Self-Configuration of Cyber–Physical Production Systems

et al. 2021

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“…The term holon was first coined by the Hungarian writer and philosopher Arthur Kestler [32,33]. At first, it was considered to describe the whole/part of nature in a real-life system; one can say that a holon is both a whole and a part [34]. At the same time, the concept of a holon is often considered an application module that is both "autonomous" and "collaborative" in the system [35].…”

mentioning

confidence: 99%

Interfacing the Control Systems of Enterprise-Level Process Equipment with a Robot Operating System

Micieta,

Binasova,

Marcan

et al. 2023

Electronics

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The analytical section of this paper deals with theoretical knowledge, considering the latest trends in the subject area. To achieve the successful implementation of cobots based on operating systems in manufacturing systems, it is necessary to pay attention specifically to the interfacing of Robot Operating Systems with the control systems of manufacturing systems at the process level of an enterprise. In the practical section, an algorithm with well-defined steps towards the successful implementation of cobots in holonic manufacturing processes is proposed. By setting up an experimental workstation in a laboratory, the proposed procedures are verified at the end of the paper. The creation of a design for the implementation of a collaborative robot with a human represents the missing link in the whole chain of commercial applications of the latest trends from the field of robotic systems in the industrial sphere. The main contributions of this study include the establishment of a communication channel between cobots and programmable logic PLCs (Programmable logic controllers), and an experimental verification of the proposed solution for the implementation of a cooperating robot with a human in a manufacturing system in the laboratory. Another advantage of this paper is the creation of a new procedure for conducting a risk analysis of cooperating robots and multipurpose autonomous devices.

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Effective Implementation of CPPS Self-reconfiguration Functionality: Research Review

Macherki

Diallo

Guizani

et al. 2022

Lecture Notes in Mechanical Engineering

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The Q-Holon: a quadridimensional holon to design and operate an adaptive and scalable architecture for CPPS

Cited by 7 publications

References 22 publications

QHAR: Q-Holonic-Based ARchitecture for Self-Configuration of Cyber–Physical Production Systems

QHAR: Q-Holonic-Based ARchitecture for Self-Configuration of Cyber–Physical Production Systems

Interfacing the Control Systems of Enterprise-Level Process Equipment with a Robot Operating System

Effective Implementation of CPPS Self-reconfiguration Functionality: Research Review

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