Publications
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FALSE MAINTENANCE ALARM-SEQUENCE DETECTION USING FREQUENT PATTERN MINING
Maintenance management is one of the most critical tasks in industry. It is generally carried by maintenance technicians and engineers that monitor the health status of a production equipment using failure detection systems. These systems merges several senors data collected from PLCs in order to detect a possible deviation from natural behavior of the production […]
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Collaborative Virtual Reality Decision Tool for Planning Industrial Shop Floor Layouts
This paper presents a methodology and the associated tool for enhancing decision making in shop floor layout using collaborative virtual reality, associated to real-time performance indicators in Industry 4.0. It first describes the collaborative architecture of the application. Subsequently, application features like: visualization at scale one (machines, industrial environment’s top view, product flow path), 3D […]
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A Numerical Approach for Buildings Reduced Thermal Model Parameters Evaluation
A Numerical Approach for Buildings Reduced Thermal Model Parameters Evaluation
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Modélisation multi-agent des systèmes industriels cyber-physiques fractals
Ce papier propose une modélisation basée sur des systèmes multi-agents pour la simulation d’un atelier de production considéré comme un système cyber-physique (CPS). Un système cyber-physique industriel, appelé en anglais « Cyber-Physical Production System » (CPPS), représente une composante fondamentale de l’industrie 4.0, qui influence fortement la manière de concevoir, piloter et superviser les ateliers de production […]
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Identification of a cohesive zone model for cement paste-aggregate interface in a shear test
The development of tools, using a micromechanical approach, predicting the macroscopic behaviour of heterogeneous materials such as concrete, requires the knowledge of their microstructures (geometrical properties of phases), the behaviour of phases and the interaction laws between phases. This study is focused on a numerical modelling of a local shear test on a cement paste–aggregate […]
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A dynamic programming-based maintenance model of offshore wind turbine considering logistic delay and weather condition
There are several challenges toward maintaining offshore wind turbines such as ensuring the intrinsic performance of the wind turbine, maximizing short- and long-term profits, and optimizing maintenance grouping. These criteria should be optimized in respect to several practical constraints. Moreover, issues such as decisionmaking in uncertain environments where reliability-oriented field data are insufficient and information […]
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On the improvement of thermal comfort in indoor spaces conditioned by split-type systems
Conventional on/off-based control split-type appliances are widely used in classrooms and offices, in Brazil and in many other countries, due to their low cost and ease of installation. However, occupants often complain about thermal discomfort depending on their position within the conditioned space, especially in positions that are directly affected by the draft, since those […]
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Integrated Production Planning and Quality Control for Linear Production Systems Under Uncertainties of Cycle Time and Finished Product Quality
This work considers serial production systems with several process steps and a possible quality control at final step. It deals with the problem of optimizing planned lead time when the real lead time for each process is stochastic and the finished product quality is uncertain unless it is inspected. Three analytical models are proposed aiming […]
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Optimization of multi-period supply planning under stochastic lead times and a dynamic demand
Supply planning and inventory control are vital in Supply Chain (SC) optimization processes for companies that aim to produce highest-quality finished product at lowest cost and right on time. Optimization means planners’ need to reduce average stock levels and determine the optimal safety lead-times. This study deals with a multi-period production planning problem with a […]
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Towards Predicting System Disruption in Industry 4.0: Machine Learning-Based Approach
Industry 4:0 is the most recent industrial revolution that aims to improve not only the productivity in the 21st century, but also the flexibility, adaptability, and resilience of the industrial systems. It enables the collection of real-time data from industrial systems, Thanks to the development of Internet of Things (IoT) technology. Hence, analyzing online collected […]
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Accuracy and Localization-Aware Rescheduling for Flexible Flow Shops in Industry 4.0
Industry 4.0 revolution aims to satisfy the manufacturing systems need to deal with the unexpected customers behaviour and market variation. Thanks to Internet of Things (IoT) technology, Industry 4.0 enables to collect and analyze real-time data about Cyber Physical System (CPS) components and hence to detect and react to emergent disruptive situations as quick as […]
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Optimization of Transportation Collaborative Robots Fleet Size in Flexible Manufacturing Systems
The current economic context is uncertain and highly competitive, where companies seek to reduce their production cost and adapt production systems to market needs. Since consumer behaviour becomes more and more unpredictable within shorter and shorter product lifetime, flexible manufacturing systems are introduced to allow company to adapt their production to the market without changing […]
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