Publications
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Multi-agent reinforcement learning approach for predictive maintenance of a Smart Building lighting system
This paper presents a predictive maintenance methodology for Smart Building systems using fault tree models and Weibull distributions to estimate component failure probabilities. We introduce connection events to reduce the complexity of the fault tree architecture. These new events allow us to capture system interactions and identify critical components. Reinforcement learning-based algorithms are employed to […]
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Exploring the Explanatory Constructs Influencing Employees’ Perceptions and Attitudes Toward Change
This study explores the influence of perceptions on individual readiness for change, offering a fresh perspective on the comparative significance of culture versus nationality as explanatory constructs. Based on a quantitative survey of 310 executives from Anglo-Saxon, North and Latin European, Arabian, and Far East Asian countries, the study employed a macro process regression procedure. […]
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Organizing Open Social Innovation for Grand Challenges: A Case Study in The Context of Disability
Open Social Innovation (OSI) is gaining increasing attention in discourses among scholars and practitioners as a new approach to addressing grand challenges. However, little is known about how to organize such OSI efforts. To address this gap, this study explores the role of open spaces, especially fabrication laboratories (fab labs), in orchestrating and scaling OSI […]
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Les déterminants dispositionnels dans lechoix de la mobilité écologique
Dans le respect des limites planétaires, la transition des mobilités (d’une mobilité carbonnée et individuelle vers une mobilité décarbonnée et raisonnée) est un enjeu central. Si les facteurs externes (infrastructures, coûts) influencent les choix de transport, ils n’expliquent pas à eux seuls la complexité des comportements. Les recherches en psychologie sociale ont largement exploré ce […]
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Graph-based framework for temporal human action recognition and segmentation in industrial context
Industry 5.0 places human operators at the center of industrial processes. In this context, analyzing human movements has become crucial for ensuring operator safety and improving productivity. More specifically, an accurate system for action recognition and segmentation is essential to identify and break down each action an operator performs. These systems enable a range of […]
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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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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 […]