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Communication Dans Un Congrès Année : 2021

Design and development of a distributed and knowledge-based control architecture to achieve operational resilience in cyber-physical production systems

Résumé

Nowadays, production systems are subject to different types of challenges, related to fast technological evolution, unpredictable markets (e.g., demand volatility, mass customization), changes, disruptions, and operational risks (e.g., unavailability and/or unreliability of resources) [1]. Accordingly, numerous research projects have developed so-called "cyber-physical production systems (CPMS)". These systems implement new concepts related to technologies that allow the construction of the factories of the future, which are capable of adapting rapidly to unexpected changes while maintaining or even improving their competitiveness [2]. According to [3], CPMS are characterized by complex interactions between their components and subsystems. CPMS are, therefore, more than just isolated systems, they are rather systems of systems, composed of intelligent, cooperative, and collaborative elements. These include physical elements (e.g., robots, machines, tools, handling systems, intelligent devices), cybernetic elements (i.e., information processing and decision support), and augmented humans, which can be connected or decoupled depending on the different situations and which are capable of autonomously performing decision-making or cognitive tasks [4]. This strong interconnection between components and subsystems makes CPMSs vulnerable to changes and perturbations [5]. Furthermore, disruptions propagate through the system components, through the phases of product [6], production and logistics life cycles [3], and through the decision layers. This propagation potentially creates operational risks, which can be detrimental to system behavior and performance and/or quality of service. To cope with these changes and disruptions, the concept of resilience has emerged. In the context of a CPMS, resilience refers to the ability of a system to withstand disruptions by maintaining system functions and structures, reducing the magnitude and duration of disrupted states, and/or responding to disruptive events/situations [7]. With Industry 4.0 technologies, CPMSs can now take advantage of the opportunities for information distribution, and decentralization of decision-making processes that the Industry 4.0 revolution offers [7]. This paradigm shift would improve resilience and some system properties, such as agility, flexibility, and adaptability [8]. Despite the emergence of distributed/decentralized control paradigms and architectures, such as multi-agent, holonic, and bionic systems [9], the management of operational disruptions and risks is still governed by predominantly centralized or hierarchical organizational modes, information systems, and control architectures that do not take advantage of the full potential and flexibility of Industry 4.0 technologies [10]. In the literature [11], [12], only a limited number of articles focus on the development of distributed architectures, where intelligent products play an active role in the control, management, and organization processes of production [13]. Moreover, these references consider only limited types of disturbances and do not propose generic mechanisms, allowing to face several types of disturbances and risks in an autonomous, adaptive, and resilient way [14], [15]. To the best of our knowledge, no work has been reported that analyzes the contribution of smart and active products in the operational resilience of the production system in which they are manufactured. Accordingly, the development of distributed control architectures, where smart products are able to cope with different types of disturbances and risks and help decision makers to react in an agile, flexible, and resilient manner, remains an open, complex, and challenging problem. This project main contribution is the design and development of a distributed and knowledge-based control architecture exploiting product intelligence to achieve resilience, and thus be able to effectively manage disruptions and operational risks in CPMS.
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hal-03845262 , version 1 (09-11-2022)

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  • HAL Id : hal-03845262 , version 1

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Ali Attajer, Saber Darmoul, Sondès Chaabane, Yves Sallez, Fouad Riane. Design and development of a distributed and knowledge-based control architecture to achieve operational resilience in cyber-physical production systems. 7 ème Journée Régionale des Doctorants en Automatique, Nov 2021, Compiègne, France. ⟨hal-03845262⟩
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