Publications
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Multi-agent Simulation to Predict Global Behavior of Population Based on Elementary Local Markovian model
New technologies based robotics and data analysis are starting to be used for the treatment of disease in horticulture field. Such autonomous systems evolving in dynamic environment need automatic operation and control based on dynamic scheduling. To do so, it is necessary to predict the behaviour of this environment to better control these autonomous systems. […]
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A Two-Echelon Location Routing Problem for Bio-Waste Transportation
Technological development and urbanization have increased municipal waste generation and pollution. Recycling becomes a popular way to treat solid waste for generating energy, and therefore protecting the environment. In this paper, we propose a mixed-integer programming model to formulate and solve multi-type bio-waste transportation as a two-echelon location-routing problem. The objective is to simultaneously determine […]
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Optimizing Energy-Conscious Dynamic Flexible Job Shop Scheduling: Multi-Agent Simulation Approach
Nowadays, manufacturing industry around the world is facing strong economic pressures and enormous environmental challenges due to its huge energy consumption and associated environmental impacts. One of the effective strategies to reduce energy consumption is by employing intelligent scheduling techniques. In this paper, we propose a decision making tool, based on multi-agent simulation, to address […]
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Forecasting KPIs of Production Systems Using LSTM Networks
Key Performance indicators (KPIs) are the bases of management, decision support and forecasting tools of production systems. They are monitored by companies to analyze and control their manufacturing processes. KPIs allow measuring how successful is an organisation towards a set of objectives to be achieved. Moreover, accurate forecasting of KPIs allows decisions to be redirected […]
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Evaluation of Dispatching Rules Performance for a DJSSP Towards their Application in Industry 4.0
Dispatching rules (DRs) are very attractive heuristics for solving complex dynamic job-shop scheduling problems. DRs advantages can be summarized in their ability to make real-time scheduling decision and their ease of implementation. Many research works have been performed to design dispatching rules and to evaluate their performance regarding the main scheduling objectives (i.e. mean flow […]
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Optimal Fog-Based Architecture For Internal Logistics in Industry 4.0 Production Floor
The deployment of Industry 4.0 is based on data collection and data treatment technologies. Sensors, Internet of Things, Fog computing and Cloud computing constitute the essential infrastructure for Industry 4.0. In fact, production resources, such as machines, tools, and mobile transportation systems need a permanent connection to the monitoring system to ensure their control. Fog […]
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Challenges facing the implementation of wind energy in Algeria : a review paper
All generations of renewable energy systems stepped into a huge evolution around the world. Countries with big potential of gaz and petroleum energies are finally concerned by the potential of this sector and are currently developing it. Algeria has a huge potential in fossil fuels, however, the government aim to exploit the renewable energy potential […]
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Building Occupancy Behavior and Prediction Methods: A Critical Review and Challenging Locks
Energy use in buildings is increasing to provide optimal comfort for the occupants. People spend 90% of their lifetime in buildings. Therefore, indoor environment quality and comfort management have a crucial role in maintaining occupants’ health and productivity. Reducing energy consumption for optimal comfort management is important to minimize CO 2 emission and global warming […]
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Toward BIM and LPS data integration for Lean site project management: A State-of-the-Art review and recommendations
Over recent years, the independent adoption of Lean Construction and Building Information Modeling (BIM) have shown improvements in construction industry efficiency. Because those approaches have overlapping concepts, it’s thought that their synergic adoption can bring much more benefits. Today, the implementation of the Lean-BIM interactions theoretical framework is still challenging many companies. This paper conducts […]
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Powder Bed Fusion Modular factory for safe on-site production
CESI, a top leading institution in the higher education sector in France has developed a patented metal AM plant based on the use of recycled standard containers. Representing an area of around 130 square meters, this high safety performance unit incorporates all manufacturing steps from powder storage to thermal treatment, including a mid-size industrial capacity […]
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Augmented design with additive manufacturing. methodology: Tangible object-based method to enhance creativity in design for additive manufacturing
Additive manufacturing (AM) brings new design potential compared with traditional manufacturing. Nevertheless, traditional manufacturing knowledge remains embedded in the minds of designers and is a real cognitive barrier to design in AM. Design for Additive Manufacturing (DfAM) provides tools, techniques, and guidelines to optimize design with the specifics of AM. These methods are usable at […]
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Comparative analysis of hydraulic refrigeration and mechanical vapour compression water cooling technologies in designing a technical system for oysters conservation
The phenomenon of summer mortality in Pacifi c oysters cultures also occurs in Brazilian crops, with predominance in the adult phase, generating signifi cant losses for local producers. In the search for a technological solution to mitigate its effects, the mechanical vapour compression and hydraulic refrigeration concepts are evaluated as two proposed cooling technologies. The […]
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