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Publications

    • Conférence
    • Ingénierie & Outils numériques

    Effet de la complexité du réseau LSTM sur l’explicabilité en Maintenance Prédictive

    La nature complexe des données en maintenance prédictive impose souvent l’utilisation de modèles d’apprentissage profonds. Malgré leur efficacité dans la prédiction du RUL (durée de vie résiduelle des machines), ces « boites noires » fournissent des résultats qui ne sont pas directement compréhensibles. Ainsi, des méthodes XAI post hoc sont gé néralement utilisées pour les […]

    • Conférence
    • Ingénierie & Outils numériques

    Enhancing Explainability in Predictive Maintenance: Investigating the Impact of Data Preprocessing Techniques on XAI Effectiveness

    In predictive maintenance, the complexity of the data often requires the use of Deep Learning models. These models, called ”black boxes”, have proved their worth in predicting the Remaining Useful Life (RUL) of industrial machines . However, the inherent opacity of these models requires the incorporation of post-hoc explanation methods to enhance transparency. The quality […]

    • Conférence
    • Ingénierie & Outils numériques

    Simultaneous scheduling of production and maintenance in a flexible job-shop workshop

    This paper proposes an integer linear program for joint and simultaneous scheduling of production and predictive maintenance tasks based on degradation prediction. The objective is to find a scheduling scheme that minimizes the total execution time while guaranteeing that the state of the machines is maintained below a predefined degradation threshold. Experiments are performed on […]

    • Conférence
    • Ingénierie & Outils numériques

    Exploring the Capacitated Vehicle Routing Problem using the power of Machine Learning : A Literature Review

    The Capacitated Vehicle Routing Problem is a classic logistics optimization challenge for which numerous approaches are employed to address it. A prevalent strategy involves employing machine learning for predicting demand, leveraging historical data to accurately forecast customer needs. Furthermore, reinforcement learning techniques are employed to optimize vehicle routes, adapting them dynamically in response to changing […]

    • Conférence
    • Ingénierie & Outils numériques

    Personalisation in Mobility-as-a-Service: Where We Are and How to Move Forward

    Within urban mobility ecosystem, Mobility-as-a-Service (MaaS) has come up as a promising approach to promote sustainable modes of transport and increase the attractiveness of public and shared multimodal mobility. It aims to become a viable alternative to personal cars for door-to-door trips. The long-term objective of MaaS is to change the people’s travel behaviour by […]

    • Conférence
    • Ingénierie & Outils numériques

    Flexible job-shop problem with predictive maintenance planning using genetic algorithm

    The most common disruptions and emerging challenges that manufacturing systems frequently encounter include the arrival of new orders, last-minute order cancellations, unforeseen machine breakdowns, and alterations in due dates. To effectively respond to these challenges, production schedules are continually adjusted by implementing real-time rescheduling mechanisms that rely on up-to-the-minute data from the shop floor. This […]

    • Conférence
    • Ingénierie & Outils numériques

    Bus routing optimisation: a case study for the Toulouse metropolitan area

    This paper investigates the efficiency evaluation of a public transport using an analysis of Origin-Destination matrices (mOD). The use of a trip-chaining method on the automatically collected transport data provides a realistic and accurate representation of traffic flows characterized by mOD. The introduction of a critical walking distance and an user flow at bus stop […]

    • Conférence
    • Ingénierie & Outils numériques

    Optimizing the flow of connected distribution logistics

    Distribution and transport are considered to be key factors determining the quality of service and logistics costs, as they provide the connection between the different levels of the Supply Chain (SC). This study proposes a guideline to help industrial manufacturing companies manage their logistics distribution systems in an efficient and optimized way. The aim of […]

    • Article
    • Apprendre & Innover

    Le SI dans la fonction juridique : exploration des pratiques d’alignement stratégique

    Cette recherche se propose d’examiner la question de l’adoption du SI et des outils IT dans le contexte juridique, en particulier dans le cas de la Direction Juridique innovante (DJI). Il s’agit d’étudier le déploiement de ces outils ainsi que les pratiques favorisant leur alignement stratégique au sein de la DJI. Cette recherche s’appuie sur […]

    • Autre Production
    • Ingénierie & Outils numériques

    Summer dataset of an operating education modular building

    We propose a dataset concerning a modular education building (NR3) located on CESI Engineering School of Nanterre (Approximate GPS coordinates: 48.9033,2.1925). NR3 building is composed of 16 shipping containers offering an available surface of ≈220m² on two levels. It integrates 4 classrooms named Turing (38 m²), Tesla (51 m²), Nobel (38 m²) and Lumière (38 […]

    • Article
    • Ingénierie & Outils numériques

    Scheduling Periodic Messages on a Shared Link without Buffering

    Cloud-RAN, a novel architecture for modern mobile networks, relocates processing units from antenna to distant data centers. This shift introduces the challenge of ensuring low latency for the periodic messages exchanged between antennas and their respective processing units. In this study, we tackle the problem of devising an efficient periodic message assignment scheme under the […]

    • Article
    • Ingénierie & Outils numériques

    Multi-Agent Cooperative Camera-Based Semantic Grid Generation

    The idea of cooperative perception for navigation assistance was introduced about a decade ago with the aim to increase safety on dangerous areas like intersections. In this context, roadside infrastructure appeared very recently to provide a new point of view of the scene. In this paper, we propose to combine the Vehicle-To-Vehicle (V2V) and Vehicle-To-Infrastructure […]


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