Publications
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Reinforcement learning for HVAC control in intelligent buildings: A technical and conceptual review
Heating, Ventilation and Air Conditioning (HVAC) systems in buildings are a major source of global operational CO2 emissions, primarily due to their high energy demands. Traditional controllers have shown effectiveness in managing building energy use. However, they either struggle to handle complex environments or cannot incorporate learning from experience into their decision-making processes, leading to […]
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From social manufacturing and entrepreneurship to social open innovation: Exploring the role of fabrication laboratories
The research aims to shed light on the role of open innovation in addressing social and economic challenges. It focuses on 3D-based fabrication laboratories (fablabs) and attempts to identify the mechanisms through which the latter facilitates the diffusion and promotion of (open) innovations. The findings reveal how fablabs and additive manufacturing (AM) enable the scaling […]
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Exploring a Knowledge-Based Approach for Predictive Maintenance of Aircraft Engines: Studying Fault Propagation through Spatial and Topological Component Relationships
Predictive maintenance has become a highly favored application in Industry 4.0, particularly in complex systems with requirements for reliability, robustness, and performance. Aircraft engines are among these systems, and several studies have been conducted to try to estimate their remaining lifespan. The C-MAPSS dataset provided by NASA has greatly served the scientific community, and several […]
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NUMERICAL INVESTIGATION OF THE FLEXURAL BEHAVIOR OF STEEL PLATES REINFORCED WITH HYBRID FLAX/CARBON COMPOSITE PATCHES
For strengthening or rehabilitation of existing structures, patches of fiber-reinforced polymers (FRP) materials are being adhesively bonded to the existing metallic structures. So far, Carbon FRP (CFRP) are the main composite materials industrially implemented for metal structural reinforcement, due to their reliability and high mechanical performances. However, multiple researchers have highlighted the negative environmental impact […]
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LEAN-BIM SYNERGY IN THE CONSTRUCTION DESIGN PHASE: AUTO-GENERATION AND EVALUATION OF THERMAL ALTERNATIVES
This study explores the integration of Lean principles with Building Information Modeling (BIM) to enhance decision-making in the relatively unexplored field of thermal design for construction projects. Recognizing the limitations of current design processes, characterized by insufficient alternatives and a lack of team collaboration, we introduce a new decision-making tool. This tool centers on a […]
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Sampled-Data Observer Design for Linear Kuramoto-Sivashinsky Systems with Non-Local Output
The aim of this paper is to provide a novel systematic methodology for the design of sampled-data observers for Linear Kuramoto-Sivashinsky systems (LK-S) with non-local outputs. More precisely, we extend the systematic sampled-data observer design approach which is based on the use of an Inter-Sample output predictor to the class of LK-S systems. By using […]
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Impact of polypropylene fibers on the rheological, mechanical, andthermal properties of self-compacting concrete
The objective of this experimental investigation is to examine the impact of using polypropylene fibers on the properties of self-compacting concrete (SCC). Five mixtures were prepared, one reference concrete (without fibers) and four other SCC containing, 0.05,0.1, 0.15, and 0.2% of polypropylenes fibers. Rheological (slump flow, yield stress, and plastic viscosity) and mechanical (compressivestrength) properties […]
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Bi-Objective Multi-Period Multi-Sourcing Supply Planning with Stochastic Lead-Times, Degressive Pricing, and Carbon Footprint
This article studies a bi-objective stochastic optimization problem for multi-period multi-sourcing supply planning. The formulated problem accounts for stochastic lead times, degressive pricing, holding and backlog costs, delivery flexibility costs, as well as both holding and transportation carbon footprint. The first objective is to minimize the expected total cost, while the second objective is to […]
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Supplier Selection Considering Flexibility, Order Splitting, and Uncertainty of lead times
Effective replenishment planning and inventory control are essential for the smooth operation and adaptability of supply chains. These aspects play a pivotal role in upholding a company’s competitiveness and triumph in today’s fiercely competitive markets. Supply chain planners encounter significant hurdles in choosing the most appropriate suppliers in diverse scenarios, reducing average inventory levels, and […]
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Simultaneous Backward Reduction algorithm for disassembly lot-sizing under random ordering lead time
In order to meet item demands, end-of-life (EOL) product and subassembly ordering and disassembly schedules are determined by disassembly lot sizing, which is the subject of this study. We take into consideration a stochastic version with undetermined ordering lead time (OLT). In this case, OLT stands for the amount of time that passes between placing […]
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Modeling Distributed and Flexible PHM Framework based on the Belief Function Theory
This paper explores the integration of the belief function theory within the domain of Prognostics and Health Management (PHM), offering a novel approach to decision-making under conditions of uncertainty and incomplete information. Central to our methodology is the modeling of beliefs and uncertainties through belief mass functions, enabling the representation and aggregation of diverse information […]
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A theoretical review of the Proteus effect: understanding the underlying processes
Humans’ inherent fascination for stories can be observed throughout most of our documented history. If, for a long time, narratives were told through paintings, songs, or literature, recent technological advances such as immersive virtual reality have made it possible for us to interact with storylines and characters in a completely new manner. With these new […]
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