Olivier Cardin’s research while affiliated with École Centrale de Nantes and other places

What is this page?


This page lists works of an author who doesn't have a ResearchGate profile or hasn't added the works to their profile yet. It is automatically generated from public (personal) data to further our legitimate goal of comprehensive and accurate scientific recordkeeping. If you are this author and want this page removed, please let us know.

Publications (134)


Example of communicating material.
Classification of WSN energy efficient mechanisms [3].
Illustrative example with a simple WSN.
Different hierarchical data collection structures for WSN.
PROSA architecture [23].

+11

WSN Energy Control by Holonic Dynamic Reconfiguration: Application to the Sustainability of Communicating Materials
  • Article
  • Full-text available

September 2024

·

55 Reads

·

1 Citation

·

·

·

[...]

·

Salma Najjar

Various works propose solutions addressing the sustainability of IoT technologies to reduce their energy consumption, especially in the domain of wireless sensor networks. The diversity of applications, as well as the variability of their long-term constraints, forces them to dynamically adapt the network through time. Accordingly, this study formalizes the SADHoA-WSN framework to tackle the reconfiguration process. This proposal is a dynamic Holonic Control Architecture, linking the physical network evolution to the decisions made by a virtual multi-agent control system. The potential of such an approach is demonstrated by applying this framework to the energy optimization of communicating materials, i.e., materials equipped with inner wireless sensor nodes. The first implemented components of SADHoA-WSN and their related experimental results validate it as a promising energy-efficient dynamic methodology. This work lays the groundwork for optimized energy control in IoT networks.

Download


Task Allocation and Motion Planning Strategies for Multi-robot Cooperation

February 2024

·

21 Reads

Studies in Computational Intelligence

The pick-and-place task is a common activity performed by robots in industrial settings. Traditional methods rely on fixed holders to maintain object positions, but this approach lacks flexibility and increases installation complexity and costs. To address this limitation, computer vision-based solutions are proposed to enable more flexible pick-and-place applications. Additionally, employing multiple robots in a shared workspace offers advantages such as increased performance and the ability to achieve complex objectives. However, coordinating and allocating tasks among multiple robots while ensuring collision avoidance remains a challenge. This study focuses on task allocation and motion planning, presenting two strategies: a predictive approach based on simulation optimization and a reactive approach based on control by multi-agent systems. The predictive approach utilises simulation optimization to anticipate collisions and optimizes task allocation, while the reactive approach emphasizes real-time decision-making and coordination among autonomous agents. The paper presents a case study for practical implementation on industrial robots.


Digital Twin for Decision-Support: An Insight into the Integration of Simulation Models into Digital Twin Architectures

February 2024

·

51 Reads

·

1 Citation

Studies in Computational Intelligence

The fourth industrial revolution aims to achieve greater flexibility and adaptability in manufacturing systems through the use of information and communication technologies. The Digital Twin technology has emerged as a promising solution to support human-centred decision-making in this context. Despite the growing interest in this area, there is still a lack of applications that integrate decision-support functionality and emphasize the relationship between real-time Digital Twin models and what-if simulation models. Hence, this paper discusses the integration of simulation models into a Digital Twin architecture to assist operators in making appropriate decisions. A proof of concept is presented to demonstrate the feasibility of this approach and to open up perspectives for further research in this area.


A Core Reference Model for Applicable Reconfigurable Manufacturing Systems

January 2024

·

21 Reads

Studies in Computational Intelligence

Reconfigurable Manufacturing Systems (RMS) have emerged as a promising approach to address the dynamic demands and uncertainties in modern manufacturing. However, the lack of a comprehensive and universally accepted definition of the notion of configuration in RMS poses challenges for researchers and practitioners. This research article aims to bridge this gap by suggesting a core reference model for RMS, allowing to exhibit a generic modelling of configurations. The article critically examines existing definitions and approaches to configuration, providing a comprehensive overview of the different dimensions and components of configuration in RMS. By addressing the lack of a consistent understanding of configuration in RMS, this article contributes to the development of a shared knowledge base and paves the way for further advancements in the field. It also highlights the importance of establishing a clear and holistic definition of configuration for effective implementation and utilisation of RMS in practice.




A Hyper-heuristic for Dynamic Scheduling of Cyber-Physical Production Systems Using Incremental Learning

January 2024

·

17 Reads

Studies in Computational Intelligence

To ensure efficient dynamic manufacturing scheduling within a Cyber-Physical Production System (CPPS), it is essential to develop reactive control architectures. Heuristic-based optimization algorithms can provide this necessary reactivity and agility. In this paper, a hyper-heuristic is proposed. A set of atomic rules for resource selection are combined in a decisional strategy previously developed. The latter results from an optimization-simulation process. A new incremental learning mechanism is introduced in this article; it allows the system to evolve smoothly to integrate new events from the CPPS and its environment. A comparative study with a metaheuristic and heuristics on 56 instances, with family-dependent setup and processing times, demonstrates the interest of the proposed approach.




Citations (57)


... In recent years, studies on fatigue estimation using Digital Twin technology have gained attention. Several reports have explored fatigue estimation through digital models of the human body, such as during sitting work in offices or standing work in factories [40,41]. However, these studies primarily focus on fatigue caused by musculoskeletal loads. ...

Reference:

Prediction of Lower Leg Swelling in Driving Posture
Non-intrusive musculoskeletal disorders risk assessment towards an integration in human operators’ Digital Twins
  • Citing Article
  • January 2023

IFAC-PapersOnLine

... Despite the significant repercussions of the lack of synchronization between digital twins and their physical counterparts in manufacturing, there is a noticeable absence of studies leveraging computer vision to achieve this [10,11,[22][23][24][25][26][27][28]. This research paper addresses the critical challenge of reaching and quantifying synchronization within the domain of digital twins. ...

Real-time field synchronization mechanism for Digital Twin manufacturing systems
  • Citing Article
  • January 2023

IFAC-PapersOnLine

... In manufacturing, DT enhances predictive maintenance and resource optimization by integrating big data analytics, supporting sustainability in energy-intensive industries , and aligning with SDG 12.2, which promotes the efficient use of natural resources. Furthermore, DT-based machine learning models enable real-time energy consumption monitoring, improving decision-making for sustainable energy use (Abdoune et al., 2023) reinforcing SDG 9.5 by fostering technological innovation and sustainable industrial development. Across these sectors, DT continues to shape energy sustainability by enabling predictive insights, optimizing resource efficiency, and supporting intelligent decision-making, demonstrating its evolving role in sustainable energy management. ...

Toward Digital twin for sustainable manufacturing: A data-driven approach for energy consumption behavior model generation
  • Citing Article
  • September 2023

Computers in Industry

... Physical reconfigurations include physical changes in system arrangement, which in most cases require changes in lower structuring levels. Logical reconfigurations include software changes in middleware or application layers [46]. To facilitate transparent data access and flexible reconfiguration, the generic architecture shall include a data module that supports several standards and communication protocols relevant to the architecture domain [44]. ...

Generic Aggregation Model for Reconfigurable Holonic Control Architecture – The GARCIA Framework
  • Citing Chapter
  • February 2023

Studies in Computational Intelligence

... aligned the DT with the product lifecycle through DT prototype, DT Instance, DT Aggregate, and DT Environment [112]. Abdoune et al. [1]. used five main phases (design, validation, implementation, service, and maintenance) to identify the main characteristics of the DT lifecycle. ...

Digital Twin Lifecycle: Core Challenges and Open Issues

Studies in Computational Intelligence

... In this article, we use the UML standard notation. To improve the modelling quality, we refer to the core model principles of [3]: meaningful notation, type/instance distinction, recursive aggregation, aggregation protocols, schematic specialisations. 2 ⃝ Modularity. Reconfiguration cannot operate on any random MS concept, there must be reconfiguration units. ...

Aggregation Patterns in Holonic Manufacturing Systems
  • Citing Chapter
  • June 2022

Studies in Computational Intelligence

... In a domain close to the concept of DT, Cyber Physical Production Systems are "systems of systems of autonomous and cooperative elements connected with each other in situation dependent ways, on and across all levels of production, from processes through machines up to production and logistics networks, enhancing decision making processes in real time, response to unforeseen conditions and evolution along time" [15]. From all existing architectures in this context, the one by Cardin et al. [16] illustrates the positioning between the physical part and the cyber (i.e., digital) part, with a clear integration of the human in the decision loop ( Figure 2). ...

Digitalization and Control of Industrial Cyber-Physical Systems: Concepts, Technologies and Applications
  • Citing Book
  • May 2022

... SGs are quick and simple self-assessment tools that allow students to quickly assess their grasp of course contents. In this vein, by integrating knowledge and skill acquisition, SGs are an efficient teaching tool for learners to make smart and realistic decisions [39]. The use of SG in the course may have led students to decide not to take the final exam when they realized their poor mastery of the subject. ...

Serious Game as Learning Media for Reconfigurable Manufacturing System: A Model Development
  • Citing Article
  • October 2022

IFAC-PapersOnLine

... This facilitates the optimization of production and supports decision-making [1]. This virtual representation is in sync with the physical system, accurately reflecting its behavior and responding to changes in the real environment [2]. In industrial applications, such as CNC machines, the digital twin not only monitors and simulates machine performance but also predicts its condition, facilitating predictive maintenance decision making and improving operational efficiency [2]. ...

Integration of Artificial Intelligence in the life cycle of industrial Digital Twins

IFAC-PapersOnLine

... Consequently, this visibility through the knowledge graph can improve supply chain resilience. With the growing interest in Reconfigurable Supply Chains in recent years, an idea of the use of the knowledge graph and the ability of AI was proposed to withstand the disruptions of today's markets [67] in view of the importance of AI-derived methods in supply chain management [68]. ...

Using Knowledge Graphs and Human-Centric Artificial Intelligence for Reconfigurable Supply Chains: A Research Framework

IFAC-PapersOnLine