Publications
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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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EXPERIMENTAL STUDY OF THE FLEXURAL STRENGTHENING OF STEEL PLATES WITH BONDED HYBRID FLAX/CARBON COMPOSITE PATCHES
Adhesive bonding of fiber-reinforced polymer (FRP) patches is increasingly used to strengthen steel structures. While carbon FRP (CFRP) and epoxy adhesives are the primary materials in industrial applications, this study explores hybrid Carbon/Flax FRP as an alternative for reinforcing steel plates under flexural loading. Four composite layups were tested: F5 (flax), C5 (carbon), CFC, and […]
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Sediments as renewable raw earth for producing unfired bricks and mortars
The texture of fine sediments, whether from rivers, harbours, waterways or dam reservoirs, contains clays in varying quantities depending on the source from which they are extracted. These clays confer certain properties to sediments, such as plasticity and cohesion. Additionally, the clay minerals present and associated oxides can contribute to reactive or binding properties. This […]
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Clay influence on compaction and strength of unfired sediment bricks
Based on particle size, dredged sediments and natural soils generally consist of four main components: clay, silt, sand and gravel. In unfired earth materials, clay and silt provide binding properties, whereas sand and gravel act as fillers. A sufficient proportion of clay is necessary to achieve optimal material stiffness and strength [1]. Amounts of 10 […]
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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 […]