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A Unified View on Regulation Management in Multi-Agent Systems
No full textInternational audienceRegulating multi-agent system (MAS) to achieve a balance between the autonomy of agents and the control of the system is still a challenge. Regulation management in MAS has been conceptualized from various perspectives in the literature, whose intersections open up a wide range of design options. We propose a unified view on regulation management in MAS that identifies the range of design options with respect to three perspectives: the regulation capabilities, the multi-agent oriented programming dimensions, and the architectural style. We use our unified view to review and classify existing MAS frameworks in the literature, highlighting the dominant and underexplored views on regulation management in MAS
Microwave sintering of tin oxide and zinc oxide mixtures – Formation of Zn<sub>2</sub>SnO<sub>4</sub> spinel phase, densification and evolution of microstructure
No full textInternational audienceIn this work SnO2-ZnO based ceramics were prepared and sintered using both microwave (MW) and conventional (CV) heating. Five different batches of samples were prepared – pure SnO2, ZnO and different weight ratios of these oxides (S80-Z20, S50-Z50, S20-Z80). Microwave sintering was conducted in a multimode cavity at 2.45 GHz in temperature range 900–1400 °C, with different heating rates 50–100 °C/min and dwell times 0–15 min. The changes of linear shrinkage, bulk density, open porosity and phase composition are discussed with respect to the heating rate, dwell time, sintering temperature and type of heating (MW vs. CV). During the MW heating results show changes of the dielectric loss with higher temperature in all prepared samples. MW sintering of composites significantly improved densification compared to CV sintering, due to favorable MW/material interactions. The formation of the Zn₂SnO₄ spinel phase was also observed, with its content varying depending on the initial composition
Wear mechanism of oxide-bonded SiC refractory tiles in the combustion zone of waste-to-energy facilities
No full textInternational audienceRefractory tiles used in waste-to-energy facilities are exposed to high temperatures (Tflue-gas ≈ 1200 °C) and corrosive environment with gases and fly ashes. Post-mortem examination of refractory tiles from the combustion zone of waste-to-energy plants was conducted to understand the damage mechanism of the refractory material. Corroded refractory tiles from this area showed an important loss of matter and large cavities on the hot surface. Investigations highlighted the weakness of the refractory matrix of the material. In contact with slag deposit and corrosive gases, the bonding phase of the refractory material is dissolved and SiC grains are oxidized which causes the spalling of the hot face of refractory tiles
L’innovation ouverte comme moteur des mutations industrielles etorganisationnelles pendant la pandémie : Etude de cas du secteurpharmaceutique
No full textInternational audienceThe Covid-19 pandemic emphasized health system failures, lack of medical devices, and new ways to innovate, in particular based on Open Innovation. An exploratory case study that exemplified the value of implementing Open Innovation in the pandemic context will be shown. The research question is: how has Open Innovation boosted healthcare production to cope with the pandemic? The case study of the Pfizer/BioNTech pharmaceutical alliance is methodologically built on full referencing and systematic analysis of published articles, scientific documents, and reports related to Open Innovation. Based on this case study, we will be able to show that in the context of pandemic emergency, Open Innovation is an efficient vector that allows expanding partnerships to accelerate R&D and production operations.La Covid-19 a montré les défaillances des systèmes de santé (à travers le manque de dispositifs médicaux) mais également de nouvelles façons d’innover, en particulier via l’innovation ouverte. Une étude de cas exploratoire illustrant l’intérêt de l’innovation ouverte dans le cadre pandémique seront développées. La question de recherche est : comment l’innovation ouverte a-t-elle stimulé la production de soins pour faire face à la pandémie ? L’étude de cas de l’alliance pharmaceutique Pfizer/BioNTech s’appuie méthodologiquement sur le référencement complet et l’analyse systématique des publications, documents scientifiques relatifs à l’innovation ouverte. Suivant ce travail, nous serons en mesure de montrer que dans le contexte pandémique, l’innovation ouverte est un vecteur efficace pour élargir les partenariats afin d’accélérer les activités de R&D et de production
Al<sub>2</sub>O<sub>3</sub>/Al hybrid nanolaminates with superior toughness, strength and ductility
No full textInternational audienceAmorphous alumina is hard but brittle like all ceramic type materials which affects durability under impact or scratch. Here we show that alumina layers below 100 nm thickness when stacked with aluminum interlayers exhibit exceptional performances including toughness equal to 300 J.m−2 determined by on chip nanomechanics. This is almost two orders of magnitude higher than bulk alumina and higher than any other thin hard coatings. In addition, a hardness above 8 GPa combines with a fracture strain above 5%. The origin of this superior set of properties is unravelled via in-situ TEM and mechanical models. The combination of constrained alumina layers with ductile behavior, strong “accommodating” interfaces, giant shear deformability of Al layers, and plasticity-controlled crack shielding cooperate to stabilize deformation, dissipate energy and arrest cracks. These performances unlock several options of applications of Al2O3 in which brittleness under contacts prevents benefiting from remarkable functional properties and chemical stability
Coupling Variable Selection and Anomaly Detection: Record-Based Approach
No full textInternational audienceThe proliferation of interconnected devices is rapidly expanding globally, and, as a result, telecommunication operators are responsible for managing intricate and expansive networks. Consequently, there is a need for advanced and efficient systems to aid network engineers in maintaining these networks. Devices, which can also be referred to as network elements, continuously transmit essential performance data known as key performance indicators. By utilizing data derived from these metrics and implementing intelligent anomaly detection models, the devices can assist in determining the optimal production maintenance schedule for the network. As anomaly detection models deal with extreme events, this study proposes a method of reducing dimensions by focusing on the behavior of the tails of underlying variables, rather than the entire distribution. In addition to that, an anomaly scoring system, also based on records theory, is proposed, which has several advantages over current state-of-the-art models. The effectiveness of this approach is demonstrated by implementing it on a real-world dataset
Les ESAT, source de propositions pour une organisation inclusive - Perception de travailleurs en situation de handicap
No full textNational audienceESATs (Établissements et services d’aide par le travail—French organizations that help disabled people back into work) implement practices that serve as models for organizations seeking to be more inclusive of people with disabilities. In this study, we gave ESAT workers the opportunity to express their views in order to gain a better understanding of their relationship with work and to identify measures that promote inclusion at work. We propose an expanded definition of an inclusive organization—one that allows everyone to participate in organizational life, ensures a good work-life balance, and offers flexible working arrangements tailored to individual needs.Un ESAT donne à voir des pratiques qui deviennent des propositions pour des organisations qui souhaiteraient être plus inclusives pour les personnes en situation de handicap. Les auteurs donnent dans cet article la parole aux travailleurs d’ESAT pour mieux comprendre leur rapport au travail et identifier les dispositifs favorisant l’inclusion au travail. Ils apportent une définition complétée de l’organisation inclusive qui permet la participation de chacun à la vie de l’organisation, une articulation entre la vie personnelle et le travail avec une proposition de temps et de dispositif évolutifs pour chacun
New trends in line balancing and model sequencing in assembly, disassembly and machining environments
No full textInternational audienceThe Assembly Line Balancing Problem (ALBP), first formally introduced by Salveson in 1955, has long been a foundational topic in operations research and production management. Over the past seven decades, ALBP has evolved significantly—from a straightforward task-to-station assignment problem to a complex, multi-objective optimization challenge that reflects the intricacies of contemporary manufacturing systems. This transformation has been especially pronounced in the last two decades, driven by the integration of Industry 4.0 technologies, increasing emphasis on sustainability, and the emerging human-centered paradigms associated with Industry 5.0. In this article, we review recent advancements and integrate contributions selected for this Special Issue, which builds on papers presented at the IFIP APMS 2021 and IFAC MIM 2022 conferences. With 37 papers selected from over 90 submissions, this Special Issue represents the first dedicated collection on ALBP since the 2006 special issue in the European Journal of Operational Research (EJOR), and it reflects the field’s remarkable progression during a period of profound transformation in manufacturing
Optimal Linear Interpolation under Differential Information: application to prediction of perfect flows
No full textInternational audienceApproximation of functions satisfying partial dierential equations is paramount for simulation of physical uid ows and other problems in physics. Recent studies related to physics-informed machine learning [1] have proven useful as a data-driven complement to numerical models for Partial Dierential Equations (PDEs). However, their eciency and convergence depend on the availability of vast training datasets. For sparse observations, Gaussian process regression or Kriging [2, 3] has emerged as a powerful interpolation model, oering principled estimates and uncertainty quantication. Several attempts have been made to adapt Gaussian processes conditioned on linear PDEs via articial or collocation observations [4] and kernel design. These methods suer from scalability issues in higher dimensions and limited generalizability. The aim of our study is to explore the extension of the Kriging predictor - the best linear unbiased predictor - in the presence of linear PDE information at nite collocation points. We propose two approaches: 1) A collocated co-Kriging [3, 24.2] with primary observations of the physical eld and auxiliary dierential observations; 2) A constrained Kriging optimization problem strongly satisfying linear PDE constraints at the points of prediction through a Lagrangian formulation. This work highlights a trade-o between the computational eciency of the Lagrange multipliers approach and the strict interpolation of observations
Optimiser l’organisation des flux de patients au niveau territorial: Une approche centrée sur l'adéquation entre des parcours de soins alternatifs et l'offre de soins
No full textNational audienceA new generic and regional patient case-mix model is proposed, integrating alternative care pathways, patient transfers between healthcare facilities, and the reallocation of medical resources across institutions.Optimisation du casemix de patient à l'échelle territoriale intégrant un éventail de parcours de soins alternatifs, le transfert inter-établissements de patients et de ressources médicales. </div