Publications
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Maritime monitoring through LoRaWAN: Resilient decentralised mesh networks for enhanced data transmission
Resilient communication networks from ocean-deployed buoys are crucial for maritime applications. However, wireless data transmission in these environments faces significant challenges due to limited buoy battery capacity, harsh weather conditions, and potential interference from maritime vessels. LoRaWAN technology, known for its low power consumption and long-range communication capabilities, presents a promising solution. Nevertheless, the standard […]
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A game theory approach for optimizing job shop scheduling problems with transportation in common shared human–robot environments
The Job Shop Scheduling Problem with Transportation (JSSPT) is a critical challenge in modern industrial systems, particularly in environments where human operators and Autonomous Intelligent Vehicles (AIVs) interact. Traditional scheduling approaches often fail to address the dynamic and unpredictable nature of these shared human–robot environments. In response, this paper introduces a game theory-based scheduling algorithm […]
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Energy-Aware Optimization of Multi-Robot Systems with Task Allocation and Partial Recharge Scheduling
This paper presents a task allocation and scheduling model for multi-robot systems operating under energy constraints. The proposed model integrates key factors such as energy consumption, battery charging management, and task execution efficiency. To address this problem, we employ both an exact solver-based method and a bio-inspired algorithm, enabling a comparative analysis of their performance […]
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A New MILP Model for Supplier Selection: Improving Efficiency and Solution Quality under Risk
This paper contributes to the field of supplier selection under risk by proposing a Mixed Integer Linear Programming (MILP) model that integrates key decisionmaking factors such as cost and risk mitigation strategies. The proposed model offers a comprehensive approach for selecting the best supplier portfolio under uncertainty. Furthermore, the paper provides a detailed comparison of […]
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Pricing-Driven Optimization of Lot-Sizing and Scheduling in Hybrid Manufacturing-Remanufacturing Systems
The transition towards sustainable production models has intensified interest in hybrid manufacturing and remanufacturing systems, which play a crucial role in the circular economy. These systems integrate new production with the refurbishment of used products, presenting unique operational challenges. This paper examines the integration of pricing, scheduling, and lot-sizing in modern industrial operations, with a […]
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Evaluating Ventilation Strategies for Energy- Efficient Classroom Design Using Open-Source CFD software (OpenFOAM®)
Given the urgent need for energy-efficient buildings and comfort-optimized ventilation due to rapid climate change, simulation tools provide a good, fast, and inexpensive approach to addressing these challenges. In this work, computational fluid dynamics is used in a classroom located in the north of France to assess HVAC performance of different ventilation scenarios, offering valuable […]
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Towards efficient program execution on edge-cloud computing platforms
This paper investigates techniques dedicated to the performance of edge-cloud infrastructures and identifies the challenges to address to maximize their efficiency. Unlike traditional cloud-only processing, edge-cloud platforms meet the stringent requirements of real-time applications via additional computing resources close to the data source. Yet, due to numerous performance factors, it is a complex task to […]
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Enhancing BIPV Building Energy Autonomy in PV systems through predictive energy control and real-time error reduction
The integration of photovoltaic (PV) systems into power grids poses challenges due to the intermittent nature of solar energy, which increases grid dependency and limits energy autonomy. Accurate ultra-short-term (UST) forecasting and intelligent energy management are essential to enhance PV self-consumption. This study introduces the Energy Control Optimization Predictive Intelligent Management System (ECO-PIMS), an advanced […]
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Digital Twin–Driven Multi-Objective Layout Optimisation of Flexible Robotic Cells with NSGA-II
Robotic cells in modern factories must be laid out for efficiency, flexibility, and fast adaptation to shifting product mixes [1]. Cycle time and safety hinge on where workstations, robot bases, stock bins, and tools sit, yet finding a balanced layout is challenging because static choices alter dynamic behaviour: moving a fixture a few centimetres can […]
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Autoconsommation et stockage thermique de l’énergie solaire dans une habitation résidentielle
L’objectif de ce travail est de tester des méthodes de gestion et de stockage des énergies renouvelables produites au niveau d’une habitation individuelle. Un simulateur, fondé sur les modèles des équipements d’une habitation et des sources d’énergies renouvelables solaire qu’elle intègre, a été conçu à des fins de développement d’algorithmes d’optimisation pour l’amélioration de la […]
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Enhancing Industrial Process Optimization through Digital Twins
This paper explores the role of Digital Twins (DTs) in optimizing industrial processes, particularly in strategic sectors such as automotive, aerospace, and water treatment. With the growing need for companies to adapt to increased competition and technological advancements, DTs offer an innovative approach to process management. The study outlines the integration of real-time data analytics, […]
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Contribution à la caractérisation de l’affordance d’un environnement de travail industriel : une approche basée sur l’apprentissage profond combinant données réelles et synthétiques
Ce travail s’inscrit dans le cadre du projet “École De La Batterie”, dont l’un des objectifs concerne l’optimisation de la conception des postes de travail manuel dans le but d’améliorer leur ergonomie. Nos travaux s’inscrivent dans cette démarche et visent à caractériser l’affordance des éléments de ces environnements avec lesquels les opérateurs interagissent (outils, composants, […]
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